Upload 14 files
Browse files- .gitattributes +1 -0
- added_tokens.json +24 -0
- chat_template.json +3 -0
- config.json +571 -0
- generation_config.json +4 -0
- merges.txt +0 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +31 -0
- special_tokens_map.json +38 -0
- spk_dict.pt +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +227 -0
- trainer_state.json +1334 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|AUDIO|>": 151646,
|
5 |
+
"<|IMAGE|>": 151655,
|
6 |
+
"<|VIDEO|>": 151656,
|
7 |
+
"<|audio_bos|>": 151647,
|
8 |
+
"<|audio_eos|>": 151648,
|
9 |
+
"<|box_end|>": 151649,
|
10 |
+
"<|endoftext|>": 151643,
|
11 |
+
"<|file_sep|>": 151664,
|
12 |
+
"<|fim_middle|>": 151660,
|
13 |
+
"<|fim_pad|>": 151662,
|
14 |
+
"<|fim_prefix|>": 151659,
|
15 |
+
"<|fim_suffix|>": 151661,
|
16 |
+
"<|im_end|>": 151645,
|
17 |
+
"<|im_start|>": 151644,
|
18 |
+
"<|quad_end|>": 151651,
|
19 |
+
"<|quad_start|>": 151650,
|
20 |
+
"<|repo_name|>": 151663,
|
21 |
+
"<|vision_bos|>": 151652,
|
22 |
+
"<|vision_eos|>": 151653,
|
23 |
+
"<|vision_pad|>": 151654
|
24 |
+
}
|
chat_template.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"chat_template": "{% set audio_count = namespace(value=0) %}{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_bos|><|IMAGE|><|vision_eos|>{% elif content['type'] == 'audio' or 'audio' in content or 'audio_url' in content %}{% set audio_count.value = audio_count.value + 1 %}{% if add_audio_id %}Audio {{ audio_count.value }}: {% endif %}<|audio_bos|><|AUDIO|><|audio_eos|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_bos|><|VIDEO|><|vision_eos|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
3 |
+
}
|
config.json
ADDED
@@ -0,0 +1,571 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"Qwen2_5OmniModel"
|
4 |
+
],
|
5 |
+
"enable_audio_output": false,
|
6 |
+
"enable_talker": false,
|
7 |
+
"model_type": "qwen2_5_omni",
|
8 |
+
"talker_config": {
|
9 |
+
"_attn_implementation_autoset": true,
|
10 |
+
"_name_or_path": "Qwen2.5-Omni-7B/talker",
|
11 |
+
"architectures": [
|
12 |
+
"Qwen2OmniTalkerForConditionalGeneration"
|
13 |
+
],
|
14 |
+
"attention_dropout": 0.0,
|
15 |
+
"audio_end_token_id": 151648,
|
16 |
+
"audio_start_token_id": 151647,
|
17 |
+
"audio_token_index": 151646,
|
18 |
+
"embedding_size": 3584,
|
19 |
+
"head_dim": 128,
|
20 |
+
"hidden_act": "silu",
|
21 |
+
"hidden_size": 896,
|
22 |
+
"image_token_index": 151655,
|
23 |
+
"init_std": 0.02,
|
24 |
+
"initializer_range": 0.02,
|
25 |
+
"intermediate_size": 18944,
|
26 |
+
"max_position_embeddings": 32768,
|
27 |
+
"max_window_layers": 28,
|
28 |
+
"model_type": "qwen2_5_omni_talker",
|
29 |
+
"num_attention_heads": 12,
|
30 |
+
"num_hidden_layers": 24,
|
31 |
+
"num_key_value_heads": 4,
|
32 |
+
"position_id_per_seconds": 25,
|
33 |
+
"rms_norm_eps": 1e-06,
|
34 |
+
"rope_scaling": {
|
35 |
+
"mrope_section": [
|
36 |
+
16,
|
37 |
+
24,
|
38 |
+
24
|
39 |
+
],
|
40 |
+
"rope_type": "default",
|
41 |
+
"type": "default"
|
42 |
+
},
|
43 |
+
"rope_theta": 1000000.0,
|
44 |
+
"seconds_per_chunk": 2,
|
45 |
+
"sliding_window": 32768,
|
46 |
+
"spatial_merge_size": 2,
|
47 |
+
"torch_dtype": "float32",
|
48 |
+
"tts_codec_end_token_id": 8294,
|
49 |
+
"tts_codec_mask_token_id": 8296,
|
50 |
+
"tts_codec_pad_token_id": 8292,
|
51 |
+
"tts_codec_start_token_id": 8293,
|
52 |
+
"tts_text_end_token_id": 151861,
|
53 |
+
"tts_text_pad_token_id": 151859,
|
54 |
+
"tts_text_start_token_id": 151860,
|
55 |
+
"use_cache": true,
|
56 |
+
"use_mrope": false,
|
57 |
+
"use_sliding_window": false,
|
58 |
+
"video_token_index": 151656,
|
59 |
+
"vision_end_token_id": 151653,
|
60 |
+
"vision_start_token_id": 151652,
|
61 |
+
"vocab_size": 8448
|
62 |
+
},
|
63 |
+
"thinker_config": {
|
64 |
+
"_attn_implementation_autoset": true,
|
65 |
+
"_name_or_path": "Qwen2.5-Omni-7B/thinker",
|
66 |
+
"architectures": [
|
67 |
+
"Qwen2OmniNaViTThinkerForConditionalGeneration"
|
68 |
+
],
|
69 |
+
"audio_config": {
|
70 |
+
"_attn_implementation_autoset": true,
|
71 |
+
"_name_or_path": "",
|
72 |
+
"activation_dropout": 0.0,
|
73 |
+
"activation_function": "gelu",
|
74 |
+
"add_cross_attention": false,
|
75 |
+
"architectures": null,
|
76 |
+
"attention_dropout": 0.0,
|
77 |
+
"bad_words_ids": null,
|
78 |
+
"begin_suppress_tokens": null,
|
79 |
+
"bos_token_id": null,
|
80 |
+
"chunk_size_feed_forward": 0,
|
81 |
+
"cross_attention_hidden_size": null,
|
82 |
+
"d_model": 1280,
|
83 |
+
"decoder_start_token_id": null,
|
84 |
+
"diversity_penalty": 0.0,
|
85 |
+
"do_sample": false,
|
86 |
+
"dropout": 0.0,
|
87 |
+
"early_stopping": false,
|
88 |
+
"encoder_attention_heads": 20,
|
89 |
+
"encoder_ffn_dim": 5120,
|
90 |
+
"encoder_layerdrop": 0.0,
|
91 |
+
"encoder_layers": 32,
|
92 |
+
"encoder_no_repeat_ngram_size": 0,
|
93 |
+
"eos_token_id": null,
|
94 |
+
"exponential_decay_length_penalty": null,
|
95 |
+
"finetuning_task": null,
|
96 |
+
"forced_bos_token_id": null,
|
97 |
+
"forced_eos_token_id": null,
|
98 |
+
"id2label": {
|
99 |
+
"0": "LABEL_0",
|
100 |
+
"1": "LABEL_1"
|
101 |
+
},
|
102 |
+
"init_std": 0.02,
|
103 |
+
"is_decoder": false,
|
104 |
+
"is_encoder_decoder": false,
|
105 |
+
"label2id": {
|
106 |
+
"LABEL_0": 0,
|
107 |
+
"LABEL_1": 1
|
108 |
+
},
|
109 |
+
"length_penalty": 1.0,
|
110 |
+
"max_length": 20,
|
111 |
+
"max_source_positions": 1500,
|
112 |
+
"min_length": 0,
|
113 |
+
"model_type": "qwen2_5_omni_audio_encoder",
|
114 |
+
"n_window": 100,
|
115 |
+
"no_repeat_ngram_size": 0,
|
116 |
+
"num_beam_groups": 1,
|
117 |
+
"num_beams": 1,
|
118 |
+
"num_hidden_layers": 32,
|
119 |
+
"num_mel_bins": 128,
|
120 |
+
"num_return_sequences": 1,
|
121 |
+
"output_attentions": false,
|
122 |
+
"output_dim": 3584,
|
123 |
+
"output_hidden_states": false,
|
124 |
+
"output_scores": false,
|
125 |
+
"pad_token_id": null,
|
126 |
+
"prefix": null,
|
127 |
+
"problem_type": null,
|
128 |
+
"pruned_heads": {},
|
129 |
+
"remove_invalid_values": false,
|
130 |
+
"repetition_penalty": 1.0,
|
131 |
+
"return_dict": true,
|
132 |
+
"return_dict_in_generate": false,
|
133 |
+
"scale_embedding": false,
|
134 |
+
"sep_token_id": null,
|
135 |
+
"suppress_tokens": null,
|
136 |
+
"task_specific_params": null,
|
137 |
+
"temperature": 1.0,
|
138 |
+
"tf_legacy_loss": false,
|
139 |
+
"tie_encoder_decoder": false,
|
140 |
+
"tie_word_embeddings": true,
|
141 |
+
"tokenizer_class": null,
|
142 |
+
"top_k": 50,
|
143 |
+
"top_p": 1.0,
|
144 |
+
"torch_dtype": null,
|
145 |
+
"torchscript": false,
|
146 |
+
"typical_p": 1.0,
|
147 |
+
"use_bfloat16": false
|
148 |
+
},
|
149 |
+
"audio_end_token_id": 151648,
|
150 |
+
"audio_start_token_id": 151647,
|
151 |
+
"audio_token_index": 151646,
|
152 |
+
"bos_token_id": 151644,
|
153 |
+
"eos_token_id": 151645,
|
154 |
+
"ignore_index": -100,
|
155 |
+
"image_token_index": 151655,
|
156 |
+
"init_std": 0.02,
|
157 |
+
"model_type": "qwen2_5_omni_thinker",
|
158 |
+
"pad_token_id": 151643,
|
159 |
+
"position_id_per_seconds": 25,
|
160 |
+
"seconds_per_chunk": 2,
|
161 |
+
"text_config": {
|
162 |
+
"_attn_implementation_autoset": false,
|
163 |
+
"_name_or_path": "",
|
164 |
+
"add_cross_attention": false,
|
165 |
+
"architectures": null,
|
166 |
+
"attention_dropout": 0.0,
|
167 |
+
"bad_words_ids": null,
|
168 |
+
"begin_suppress_tokens": null,
|
169 |
+
"bos_token_id": null,
|
170 |
+
"chunk_size_feed_forward": 0,
|
171 |
+
"cross_attention_hidden_size": null,
|
172 |
+
"decoder_start_token_id": null,
|
173 |
+
"diversity_penalty": 0.0,
|
174 |
+
"do_sample": false,
|
175 |
+
"early_stopping": false,
|
176 |
+
"encoder_no_repeat_ngram_size": 0,
|
177 |
+
"eos_token_id": null,
|
178 |
+
"exponential_decay_length_penalty": null,
|
179 |
+
"finetuning_task": null,
|
180 |
+
"forced_bos_token_id": null,
|
181 |
+
"forced_eos_token_id": null,
|
182 |
+
"hidden_act": "silu",
|
183 |
+
"hidden_size": 3584,
|
184 |
+
"id2label": {
|
185 |
+
"0": "LABEL_0",
|
186 |
+
"1": "LABEL_1"
|
187 |
+
},
|
188 |
+
"init_std": 0.02,
|
189 |
+
"intermediate_size": 18944,
|
190 |
+
"is_decoder": false,
|
191 |
+
"is_encoder_decoder": false,
|
192 |
+
"label2id": {
|
193 |
+
"LABEL_0": 0,
|
194 |
+
"LABEL_1": 1
|
195 |
+
},
|
196 |
+
"length_penalty": 1.0,
|
197 |
+
"max_length": 20,
|
198 |
+
"max_position_embeddings": 32768,
|
199 |
+
"max_window_layers": 28,
|
200 |
+
"min_length": 0,
|
201 |
+
"model_type": "qwen2_5_omni_text",
|
202 |
+
"no_repeat_ngram_size": 0,
|
203 |
+
"num_attention_heads": 28,
|
204 |
+
"num_beam_groups": 1,
|
205 |
+
"num_beams": 1,
|
206 |
+
"num_hidden_layers": 28,
|
207 |
+
"num_key_value_heads": 4,
|
208 |
+
"num_return_sequences": 1,
|
209 |
+
"output_attentions": false,
|
210 |
+
"output_hidden_states": false,
|
211 |
+
"output_scores": false,
|
212 |
+
"pad_token_id": null,
|
213 |
+
"prefix": null,
|
214 |
+
"problem_type": null,
|
215 |
+
"pruned_heads": {},
|
216 |
+
"remove_invalid_values": false,
|
217 |
+
"repetition_penalty": 1.0,
|
218 |
+
"return_dict": true,
|
219 |
+
"return_dict_in_generate": false,
|
220 |
+
"rms_norm_eps": 1e-06,
|
221 |
+
"rope_scaling": {
|
222 |
+
"mrope_section": [
|
223 |
+
16,
|
224 |
+
24,
|
225 |
+
24
|
226 |
+
],
|
227 |
+
"rope_type": "default",
|
228 |
+
"type": "default"
|
229 |
+
},
|
230 |
+
"rope_theta": 1000000.0,
|
231 |
+
"sep_token_id": null,
|
232 |
+
"sliding_window": 32768,
|
233 |
+
"suppress_tokens": null,
|
234 |
+
"task_specific_params": null,
|
235 |
+
"temperature": 1.0,
|
236 |
+
"tf_legacy_loss": false,
|
237 |
+
"tie_encoder_decoder": false,
|
238 |
+
"tie_word_embeddings": true,
|
239 |
+
"tokenizer_class": null,
|
240 |
+
"top_k": 50,
|
241 |
+
"top_p": 1.0,
|
242 |
+
"torch_dtype": null,
|
243 |
+
"torchscript": false,
|
244 |
+
"typical_p": 1.0,
|
245 |
+
"use_bfloat16": false,
|
246 |
+
"use_cache": true,
|
247 |
+
"use_sliding_window": false,
|
248 |
+
"vocab_size": 152064
|
249 |
+
},
|
250 |
+
"torch_dtype": "float32",
|
251 |
+
"use_mrope": false,
|
252 |
+
"user_token_id": 872,
|
253 |
+
"video_token_index": 151656,
|
254 |
+
"vision_config": {
|
255 |
+
"_attn_implementation_autoset": true,
|
256 |
+
"_name_or_path": "",
|
257 |
+
"add_cross_attention": false,
|
258 |
+
"architectures": null,
|
259 |
+
"bad_words_ids": null,
|
260 |
+
"begin_suppress_tokens": null,
|
261 |
+
"bos_token_id": null,
|
262 |
+
"chunk_size_feed_forward": 0,
|
263 |
+
"cross_attention_hidden_size": null,
|
264 |
+
"decoder_start_token_id": null,
|
265 |
+
"depth": 32,
|
266 |
+
"diversity_penalty": 0.0,
|
267 |
+
"do_sample": false,
|
268 |
+
"early_stopping": false,
|
269 |
+
"embed_dim": 1280,
|
270 |
+
"encoder_no_repeat_ngram_size": 0,
|
271 |
+
"eos_token_id": null,
|
272 |
+
"exponential_decay_length_penalty": null,
|
273 |
+
"finetuning_task": null,
|
274 |
+
"forced_bos_token_id": null,
|
275 |
+
"forced_eos_token_id": null,
|
276 |
+
"fullatt_block_indexes": [
|
277 |
+
7,
|
278 |
+
15,
|
279 |
+
23,
|
280 |
+
31
|
281 |
+
],
|
282 |
+
"hidden_act": "silu",
|
283 |
+
"hidden_size": 1280,
|
284 |
+
"id2label": {
|
285 |
+
"0": "LABEL_0",
|
286 |
+
"1": "LABEL_1"
|
287 |
+
},
|
288 |
+
"in_channels": 3,
|
289 |
+
"in_chans": 3,
|
290 |
+
"init_std": 0.02,
|
291 |
+
"intermediate_size": 3420,
|
292 |
+
"is_decoder": false,
|
293 |
+
"is_encoder_decoder": false,
|
294 |
+
"label2id": {
|
295 |
+
"LABEL_0": 0,
|
296 |
+
"LABEL_1": 1
|
297 |
+
},
|
298 |
+
"length_penalty": 1.0,
|
299 |
+
"max_length": 20,
|
300 |
+
"min_length": 0,
|
301 |
+
"model_type": "qwen2_5_omni_vision_encoder",
|
302 |
+
"no_repeat_ngram_size": 0,
|
303 |
+
"num_beam_groups": 1,
|
304 |
+
"num_beams": 1,
|
305 |
+
"num_heads": 16,
|
306 |
+
"num_return_sequences": 1,
|
307 |
+
"out_hidden_size": 3584,
|
308 |
+
"output_attentions": false,
|
309 |
+
"output_hidden_states": false,
|
310 |
+
"output_scores": false,
|
311 |
+
"pad_token_id": null,
|
312 |
+
"patch_size": 14,
|
313 |
+
"prefix": null,
|
314 |
+
"problem_type": null,
|
315 |
+
"pruned_heads": {},
|
316 |
+
"remove_invalid_values": false,
|
317 |
+
"repetition_penalty": 1.0,
|
318 |
+
"return_dict": true,
|
319 |
+
"return_dict_in_generate": false,
|
320 |
+
"sep_token_id": null,
|
321 |
+
"spatial_merge_size": 2,
|
322 |
+
"spatial_patch_size": 14,
|
323 |
+
"suppress_tokens": null,
|
324 |
+
"task_specific_params": null,
|
325 |
+
"temperature": 1.0,
|
326 |
+
"temporal_patch_size": 2,
|
327 |
+
"tf_legacy_loss": false,
|
328 |
+
"tie_encoder_decoder": false,
|
329 |
+
"tie_word_embeddings": true,
|
330 |
+
"tokenizer_class": null,
|
331 |
+
"tokens_per_second": 25,
|
332 |
+
"top_k": 50,
|
333 |
+
"top_p": 1.0,
|
334 |
+
"torch_dtype": null,
|
335 |
+
"torchscript": false,
|
336 |
+
"typical_p": 1.0,
|
337 |
+
"use_bfloat16": false,
|
338 |
+
"window_size": 112
|
339 |
+
},
|
340 |
+
"vision_end_token_id": 151653,
|
341 |
+
"vision_start_token_id": 151652,
|
342 |
+
"vision_token_id": 151654
|
343 |
+
},
|
344 |
+
"token2wav_config": {
|
345 |
+
"_attn_implementation_autoset": true,
|
346 |
+
"bigvgan_config": {
|
347 |
+
"_attn_implementation_autoset": true,
|
348 |
+
"_name_or_path": "",
|
349 |
+
"add_cross_attention": false,
|
350 |
+
"architectures": null,
|
351 |
+
"bad_words_ids": null,
|
352 |
+
"begin_suppress_tokens": null,
|
353 |
+
"bos_token_id": null,
|
354 |
+
"chunk_size_feed_forward": 0,
|
355 |
+
"cross_attention_hidden_size": null,
|
356 |
+
"decoder_start_token_id": null,
|
357 |
+
"diversity_penalty": 0.0,
|
358 |
+
"do_sample": false,
|
359 |
+
"early_stopping": false,
|
360 |
+
"encoder_no_repeat_ngram_size": 0,
|
361 |
+
"eos_token_id": null,
|
362 |
+
"exponential_decay_length_penalty": null,
|
363 |
+
"finetuning_task": null,
|
364 |
+
"forced_bos_token_id": null,
|
365 |
+
"forced_eos_token_id": null,
|
366 |
+
"id2label": {
|
367 |
+
"0": "LABEL_0",
|
368 |
+
"1": "LABEL_1"
|
369 |
+
},
|
370 |
+
"is_decoder": false,
|
371 |
+
"is_encoder_decoder": false,
|
372 |
+
"label2id": {
|
373 |
+
"LABEL_0": 0,
|
374 |
+
"LABEL_1": 1
|
375 |
+
},
|
376 |
+
"length_penalty": 1.0,
|
377 |
+
"max_length": 20,
|
378 |
+
"mel_dim": 80,
|
379 |
+
"min_length": 0,
|
380 |
+
"model_type": "qwen2_5_omni_bigvgan",
|
381 |
+
"no_repeat_ngram_size": 0,
|
382 |
+
"num_beam_groups": 1,
|
383 |
+
"num_beams": 1,
|
384 |
+
"num_return_sequences": 1,
|
385 |
+
"output_attentions": false,
|
386 |
+
"output_hidden_states": false,
|
387 |
+
"output_scores": false,
|
388 |
+
"pad_token_id": null,
|
389 |
+
"prefix": null,
|
390 |
+
"problem_type": null,
|
391 |
+
"pruned_heads": {},
|
392 |
+
"remove_invalid_values": false,
|
393 |
+
"repetition_penalty": 1.0,
|
394 |
+
"resblock_dilation_sizes": [
|
395 |
+
[
|
396 |
+
1,
|
397 |
+
3,
|
398 |
+
5
|
399 |
+
],
|
400 |
+
[
|
401 |
+
1,
|
402 |
+
3,
|
403 |
+
5
|
404 |
+
],
|
405 |
+
[
|
406 |
+
1,
|
407 |
+
3,
|
408 |
+
5
|
409 |
+
]
|
410 |
+
],
|
411 |
+
"resblock_kernel_sizes": [
|
412 |
+
3,
|
413 |
+
7,
|
414 |
+
11
|
415 |
+
],
|
416 |
+
"return_dict": true,
|
417 |
+
"return_dict_in_generate": false,
|
418 |
+
"sep_token_id": null,
|
419 |
+
"suppress_tokens": null,
|
420 |
+
"task_specific_params": null,
|
421 |
+
"temperature": 1.0,
|
422 |
+
"tf_legacy_loss": false,
|
423 |
+
"tie_encoder_decoder": false,
|
424 |
+
"tie_word_embeddings": true,
|
425 |
+
"tokenizer_class": null,
|
426 |
+
"top_k": 50,
|
427 |
+
"top_p": 1.0,
|
428 |
+
"torch_dtype": null,
|
429 |
+
"torchscript": false,
|
430 |
+
"typical_p": 1.0,
|
431 |
+
"upsample_initial_channel": 1536,
|
432 |
+
"upsample_kernel_sizes": [
|
433 |
+
11,
|
434 |
+
7,
|
435 |
+
4,
|
436 |
+
4,
|
437 |
+
4,
|
438 |
+
4
|
439 |
+
],
|
440 |
+
"upsample_rates": [
|
441 |
+
5,
|
442 |
+
3,
|
443 |
+
2,
|
444 |
+
2,
|
445 |
+
2,
|
446 |
+
2
|
447 |
+
],
|
448 |
+
"use_bfloat16": false,
|
449 |
+
"use_bias_at_final": false
|
450 |
+
},
|
451 |
+
"dit_config": {
|
452 |
+
"_attn_implementation_autoset": true,
|
453 |
+
"_name_or_path": "",
|
454 |
+
"add_cross_attention": false,
|
455 |
+
"architectures": null,
|
456 |
+
"bad_words_ids": null,
|
457 |
+
"begin_suppress_tokens": null,
|
458 |
+
"block_size": 24,
|
459 |
+
"bos_token_id": null,
|
460 |
+
"chunk_size_feed_forward": 0,
|
461 |
+
"cross_attention_hidden_size": null,
|
462 |
+
"decoder_start_token_id": null,
|
463 |
+
"depth": 22,
|
464 |
+
"dim": 1024,
|
465 |
+
"diversity_penalty": 0.0,
|
466 |
+
"do_sample": false,
|
467 |
+
"dropout": 0.1,
|
468 |
+
"early_stopping": false,
|
469 |
+
"emb_dim": 512,
|
470 |
+
"enc_attention_channels": 64,
|
471 |
+
"enc_channels": [
|
472 |
+
256,
|
473 |
+
256,
|
474 |
+
256,
|
475 |
+
256,
|
476 |
+
768
|
477 |
+
],
|
478 |
+
"enc_dilations": [
|
479 |
+
1,
|
480 |
+
2,
|
481 |
+
3,
|
482 |
+
4,
|
483 |
+
1
|
484 |
+
],
|
485 |
+
"enc_dim": 128,
|
486 |
+
"enc_emb_dim": 192,
|
487 |
+
"enc_global_context": true,
|
488 |
+
"enc_kernel_sizes": [
|
489 |
+
5,
|
490 |
+
3,
|
491 |
+
3,
|
492 |
+
3,
|
493 |
+
1
|
494 |
+
],
|
495 |
+
"enc_lin_neurons": 192,
|
496 |
+
"enc_res2net_scale": 2,
|
497 |
+
"enc_se_channels": 64,
|
498 |
+
"encoder_no_repeat_ngram_size": 0,
|
499 |
+
"eos_token_id": null,
|
500 |
+
"exponential_decay_length_penalty": null,
|
501 |
+
"ff_mult": 2,
|
502 |
+
"finetuning_task": null,
|
503 |
+
"forced_bos_token_id": null,
|
504 |
+
"forced_eos_token_id": null,
|
505 |
+
"head_dim": 64,
|
506 |
+
"heads": 16,
|
507 |
+
"hidden_size": 1024,
|
508 |
+
"id2label": {
|
509 |
+
"0": "LABEL_0",
|
510 |
+
"1": "LABEL_1"
|
511 |
+
},
|
512 |
+
"is_decoder": false,
|
513 |
+
"is_encoder_decoder": false,
|
514 |
+
"label2id": {
|
515 |
+
"LABEL_0": 0,
|
516 |
+
"LABEL_1": 1
|
517 |
+
},
|
518 |
+
"length_penalty": 1.0,
|
519 |
+
"look_ahead_layers": [
|
520 |
+
10
|
521 |
+
],
|
522 |
+
"look_backward_layers": [
|
523 |
+
0,
|
524 |
+
20
|
525 |
+
],
|
526 |
+
"max_length": 20,
|
527 |
+
"max_position_embeddings": 32768,
|
528 |
+
"mel_dim": 80,
|
529 |
+
"min_length": 0,
|
530 |
+
"model_type": "qwen2_5_omni_dit",
|
531 |
+
"no_repeat_ngram_size": 0,
|
532 |
+
"num_attention_heads": 16,
|
533 |
+
"num_beam_groups": 1,
|
534 |
+
"num_beams": 1,
|
535 |
+
"num_embeds": 8193,
|
536 |
+
"num_hidden_layers": 22,
|
537 |
+
"num_return_sequences": 1,
|
538 |
+
"output_attentions": false,
|
539 |
+
"output_hidden_states": false,
|
540 |
+
"output_scores": false,
|
541 |
+
"pad_token_id": null,
|
542 |
+
"prefix": null,
|
543 |
+
"problem_type": null,
|
544 |
+
"pruned_heads": {},
|
545 |
+
"remove_invalid_values": false,
|
546 |
+
"repeats": 2,
|
547 |
+
"repetition_penalty": 1.0,
|
548 |
+
"return_dict": true,
|
549 |
+
"return_dict_in_generate": false,
|
550 |
+
"rope_theta": 10000.0,
|
551 |
+
"sep_token_id": null,
|
552 |
+
"suppress_tokens": null,
|
553 |
+
"task_specific_params": null,
|
554 |
+
"temperature": 1.0,
|
555 |
+
"tf_legacy_loss": false,
|
556 |
+
"tie_encoder_decoder": false,
|
557 |
+
"tie_word_embeddings": true,
|
558 |
+
"tokenizer_class": null,
|
559 |
+
"top_k": 50,
|
560 |
+
"top_p": 1.0,
|
561 |
+
"torch_dtype": "float32",
|
562 |
+
"torchscript": false,
|
563 |
+
"typical_p": 1.0,
|
564 |
+
"use_bfloat16": false
|
565 |
+
},
|
566 |
+
"model_type": "qwen2_5_omni_token2wav",
|
567 |
+
"torch_dtype": "float32"
|
568 |
+
},
|
569 |
+
"torch_dtype": "bfloat16",
|
570 |
+
"transformers_version": "4.50.0.dev0"
|
571 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"transformers_version": "4.50.0.dev0"
|
4 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model.safetensors.index.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
preprocessor_config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"chunk_length": 300,
|
3 |
+
"dither": 0.0,
|
4 |
+
"feature_extractor_type": "WhisperFeatureExtractor",
|
5 |
+
"feature_size": 128,
|
6 |
+
"hop_length": 160,
|
7 |
+
"image_mean": [
|
8 |
+
0.48145466,
|
9 |
+
0.4578275,
|
10 |
+
0.40821073
|
11 |
+
],
|
12 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
13 |
+
"image_std": [
|
14 |
+
0.26862954,
|
15 |
+
0.26130258,
|
16 |
+
0.27577711
|
17 |
+
],
|
18 |
+
"max_pixels": 12845056,
|
19 |
+
"merge_size": 2,
|
20 |
+
"min_pixels": 3136,
|
21 |
+
"n_fft": 400,
|
22 |
+
"n_samples": 4800000,
|
23 |
+
"nb_max_frames": 30000,
|
24 |
+
"padding_side": "left",
|
25 |
+
"padding_value": 0.0,
|
26 |
+
"patch_size": 14,
|
27 |
+
"processor_class": "Qwen2_5OmniProcessor",
|
28 |
+
"return_attention_mask": true,
|
29 |
+
"sampling_rate": 16000,
|
30 |
+
"temporal_patch_size": 2
|
31 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|AUDIO|>",
|
6 |
+
"<|audio_bos|>",
|
7 |
+
"<|audio_eos|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_bos|>",
|
12 |
+
"<|vision_eos|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|IMAGE|>",
|
15 |
+
"<|VIDEO|>"
|
16 |
+
],
|
17 |
+
"audio_bos_token": "<|audio_bos|>",
|
18 |
+
"audio_eos_token": "<|audio_eos|>",
|
19 |
+
"audio_token": "<|AUDIO|>",
|
20 |
+
"eos_token": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
+
"image_token": "<|IMAGE|>",
|
28 |
+
"pad_token": {
|
29 |
+
"content": "<|endoftext|>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false
|
34 |
+
},
|
35 |
+
"video_token": "<|VIDEO|>",
|
36 |
+
"vision_bos_token": "<|vision_bos|>",
|
37 |
+
"vision_eos_token": "<|vision_eos|>"
|
38 |
+
}
|
spk_dict.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6a05609b28f5d42b7b748f0f07592545c8f1f6885b9ae8fff64baf56e86b2a18
|
3 |
+
size 259544
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f9711e245647e88538786834977dc8afb51172e879ee661352c587cf01efd6b0
|
3 |
+
size 11422037
|
tokenizer_config.json
ADDED
@@ -0,0 +1,227 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"151646": {
|
29 |
+
"content": "<|AUDIO|>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"151647": {
|
37 |
+
"content": "<|audio_bos|>",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"151648": {
|
45 |
+
"content": "<|audio_eos|>",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"151649": {
|
53 |
+
"content": "<|box_end|>",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
},
|
60 |
+
"151650": {
|
61 |
+
"content": "<|quad_start|>",
|
62 |
+
"lstrip": false,
|
63 |
+
"normalized": false,
|
64 |
+
"rstrip": false,
|
65 |
+
"single_word": false,
|
66 |
+
"special": true
|
67 |
+
},
|
68 |
+
"151651": {
|
69 |
+
"content": "<|quad_end|>",
|
70 |
+
"lstrip": false,
|
71 |
+
"normalized": false,
|
72 |
+
"rstrip": false,
|
73 |
+
"single_word": false,
|
74 |
+
"special": true
|
75 |
+
},
|
76 |
+
"151652": {
|
77 |
+
"content": "<|vision_bos|>",
|
78 |
+
"lstrip": false,
|
79 |
+
"normalized": false,
|
80 |
+
"rstrip": false,
|
81 |
+
"single_word": false,
|
82 |
+
"special": true
|
83 |
+
},
|
84 |
+
"151653": {
|
85 |
+
"content": "<|vision_eos|>",
|
86 |
+
"lstrip": false,
|
87 |
+
"normalized": false,
|
88 |
+
"rstrip": false,
|
89 |
+
"single_word": false,
|
90 |
+
"special": true
|
91 |
+
},
|
92 |
+
"151654": {
|
93 |
+
"content": "<|vision_pad|>",
|
94 |
+
"lstrip": false,
|
95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"151655": {
|
101 |
+
"content": "<|IMAGE|>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"151656": {
|
109 |
+
"content": "<|VIDEO|>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
},
|
116 |
+
"151657": {
|
117 |
+
"content": "<tool_call>",
|
118 |
+
"lstrip": false,
|
119 |
+
"normalized": false,
|
120 |
+
"rstrip": false,
|
121 |
+
"single_word": false,
|
122 |
+
"special": false
|
123 |
+
},
|
124 |
+
"151658": {
|
125 |
+
"content": "</tool_call>",
|
126 |
+
"lstrip": false,
|
127 |
+
"normalized": false,
|
128 |
+
"rstrip": false,
|
129 |
+
"single_word": false,
|
130 |
+
"special": false
|
131 |
+
},
|
132 |
+
"151659": {
|
133 |
+
"content": "<|fim_prefix|>",
|
134 |
+
"lstrip": false,
|
135 |
+
"normalized": false,
|
136 |
+
"rstrip": false,
|
137 |
+
"single_word": false,
|
138 |
+
"special": false
|
139 |
+
},
|
140 |
+
"151660": {
|
141 |
+
"content": "<|fim_middle|>",
|
142 |
+
"lstrip": false,
|
143 |
+
"normalized": false,
|
144 |
+
"rstrip": false,
|
145 |
+
"single_word": false,
|
146 |
+
"special": false
|
147 |
+
},
|
148 |
+
"151661": {
|
149 |
+
"content": "<|fim_suffix|>",
|
150 |
+
"lstrip": false,
|
151 |
+
"normalized": false,
|
152 |
+
"rstrip": false,
|
153 |
+
"single_word": false,
|
154 |
+
"special": false
|
155 |
+
},
|
156 |
+
"151662": {
|
157 |
+
"content": "<|fim_pad|>",
|
158 |
+
"lstrip": false,
|
159 |
+
"normalized": false,
|
160 |
+
"rstrip": false,
|
161 |
+
"single_word": false,
|
162 |
+
"special": false
|
163 |
+
},
|
164 |
+
"151663": {
|
165 |
+
"content": "<|repo_name|>",
|
166 |
+
"lstrip": false,
|
167 |
+
"normalized": false,
|
168 |
+
"rstrip": false,
|
169 |
+
"single_word": false,
|
170 |
+
"special": false
|
171 |
+
},
|
172 |
+
"151664": {
|
173 |
+
"content": "<|file_sep|>",
|
174 |
+
"lstrip": false,
|
175 |
+
"normalized": false,
|
176 |
+
"rstrip": false,
|
177 |
+
"single_word": false,
|
178 |
+
"special": false
|
179 |
+
}
|
180 |
+
},
|
181 |
+
"additional_special_tokens": [
|
182 |
+
"<|im_start|>",
|
183 |
+
"<|im_end|>",
|
184 |
+
"<|AUDIO|>",
|
185 |
+
"<|audio_bos|>",
|
186 |
+
"<|audio_eos|>",
|
187 |
+
"<|box_end|>",
|
188 |
+
"<|quad_start|>",
|
189 |
+
"<|quad_end|>",
|
190 |
+
"<|vision_bos|>",
|
191 |
+
"<|vision_eos|>",
|
192 |
+
"<|vision_pad|>",
|
193 |
+
"<|IMAGE|>",
|
194 |
+
"<|VIDEO|>"
|
195 |
+
],
|
196 |
+
"audio_bos_token": "<|audio_bos|>",
|
197 |
+
"audio_eos_token": "<|audio_eos|>",
|
198 |
+
"audio_token": "<|AUDIO|>",
|
199 |
+
"bos_token": null,
|
200 |
+
"chat_template": "{% set audio_count = namespace(value=0) %}{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_bos|><|IMAGE|><|vision_eos|>{% elif content['type'] == 'audio' or 'audio' in content or 'audio_url' in content %}{% set audio_count.value = audio_count.value + 1 %}{% if add_audio_id %}Audio {{ audio_count.value }}: {% endif %}<|audio_bos|><|AUDIO|><|audio_eos|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_bos|><|VIDEO|><|vision_eos|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
201 |
+
"clean_up_tokenization_spaces": false,
|
202 |
+
"eos_token": "<|im_end|>",
|
203 |
+
"errors": "replace",
|
204 |
+
"extra_special_tokens": {
|
205 |
+
"audio_bos_token": "<|audio_bos|>",
|
206 |
+
"audio_eos_token": "<|audio_eos|>",
|
207 |
+
"audio_token": "<|AUDIO|>",
|
208 |
+
"image_token": "<|IMAGE|>",
|
209 |
+
"video_token": "<|VIDEO|>",
|
210 |
+
"vision_bos_token": "<|vision_bos|>",
|
211 |
+
"vision_eos_token": "<|vision_eos|>"
|
212 |
+
},
|
213 |
+
"image_token": "<|IMAGE|>",
|
214 |
+
"max_length": null,
|
215 |
+
"model_max_length": 32768,
|
216 |
+
"pad_to_multiple_of": null,
|
217 |
+
"pad_token": "<|endoftext|>",
|
218 |
+
"pad_token_type_id": 0,
|
219 |
+
"padding_side": "left",
|
220 |
+
"processor_class": "Qwen2_5OmniProcessor",
|
221 |
+
"split_special_tokens": false,
|
222 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
223 |
+
"unk_token": null,
|
224 |
+
"video_token": "<|VIDEO|>",
|
225 |
+
"vision_bos_token": "<|vision_bos|>",
|
226 |
+
"vision_eos_token": "<|vision_eos|>"
|
227 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1334 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 0.8,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 1000,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"completion_length": 46.553125,
|
14 |
+
"epoch": 0.008,
|
15 |
+
"grad_norm": 0.05134107172489166,
|
16 |
+
"kl": 0.012939453125,
|
17 |
+
"learning_rate": 9.95e-07,
|
18 |
+
"loss": 0.0001,
|
19 |
+
"reward": 2.703125,
|
20 |
+
"reward_std": 0.11205126643180847,
|
21 |
+
"rewards/accuracy_reward": 1.7125,
|
22 |
+
"rewards/format_reward": 0.990625,
|
23 |
+
"step": 10
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"completion_length": 49.34375,
|
27 |
+
"epoch": 0.016,
|
28 |
+
"grad_norm": 0.06966069340705872,
|
29 |
+
"kl": 0.01898193359375,
|
30 |
+
"learning_rate": 9.9e-07,
|
31 |
+
"loss": 0.0002,
|
32 |
+
"reward": 2.775,
|
33 |
+
"reward_std": 0.05,
|
34 |
+
"rewards/accuracy_reward": 1.78125,
|
35 |
+
"rewards/format_reward": 0.99375,
|
36 |
+
"step": 20
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"completion_length": 44.63125,
|
40 |
+
"epoch": 0.024,
|
41 |
+
"grad_norm": 5.11226749420166,
|
42 |
+
"kl": 0.0212158203125,
|
43 |
+
"learning_rate": 9.849999999999999e-07,
|
44 |
+
"loss": 0.0002,
|
45 |
+
"reward": 2.546875,
|
46 |
+
"reward_std": 0.09568375647068024,
|
47 |
+
"rewards/accuracy_reward": 1.55625,
|
48 |
+
"rewards/format_reward": 0.990625,
|
49 |
+
"step": 30
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"completion_length": 42.775,
|
53 |
+
"epoch": 0.032,
|
54 |
+
"grad_norm": 0.0820818841457367,
|
55 |
+
"kl": 0.042626953125,
|
56 |
+
"learning_rate": 9.8e-07,
|
57 |
+
"loss": 0.0004,
|
58 |
+
"reward": 2.775,
|
59 |
+
"reward_std": 0.03943375647068024,
|
60 |
+
"rewards/accuracy_reward": 1.775,
|
61 |
+
"rewards/format_reward": 1.0,
|
62 |
+
"step": 40
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"completion_length": 44.275,
|
66 |
+
"epoch": 0.04,
|
67 |
+
"grad_norm": 0.06030546873807907,
|
68 |
+
"kl": 0.03828125,
|
69 |
+
"learning_rate": 9.75e-07,
|
70 |
+
"loss": 0.0004,
|
71 |
+
"reward": 2.74375,
|
72 |
+
"reward_std": 0.026933756470680238,
|
73 |
+
"rewards/accuracy_reward": 1.74375,
|
74 |
+
"rewards/format_reward": 1.0,
|
75 |
+
"step": 50
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"completion_length": 50.990625,
|
79 |
+
"epoch": 0.048,
|
80 |
+
"grad_norm": 0.10005596280097961,
|
81 |
+
"kl": 0.03060302734375,
|
82 |
+
"learning_rate": 9.7e-07,
|
83 |
+
"loss": 0.0003,
|
84 |
+
"reward": 2.60625,
|
85 |
+
"reward_std": 0.10193375647068023,
|
86 |
+
"rewards/accuracy_reward": 1.60625,
|
87 |
+
"rewards/format_reward": 1.0,
|
88 |
+
"step": 60
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"completion_length": 54.375,
|
92 |
+
"epoch": 0.056,
|
93 |
+
"grad_norm": 4.453707695007324,
|
94 |
+
"kl": 0.0556640625,
|
95 |
+
"learning_rate": 9.649999999999999e-07,
|
96 |
+
"loss": 0.0006,
|
97 |
+
"reward": 2.590625,
|
98 |
+
"reward_std": 0.08318375647068024,
|
99 |
+
"rewards/accuracy_reward": 1.59375,
|
100 |
+
"rewards/format_reward": 0.996875,
|
101 |
+
"step": 70
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"completion_length": 48.815625,
|
105 |
+
"epoch": 0.064,
|
106 |
+
"grad_norm": 2.5629329681396484,
|
107 |
+
"kl": 0.040283203125,
|
108 |
+
"learning_rate": 9.6e-07,
|
109 |
+
"loss": 0.0004,
|
110 |
+
"reward": 2.765625,
|
111 |
+
"reward_std": 0.058183756470680234,
|
112 |
+
"rewards/accuracy_reward": 1.76875,
|
113 |
+
"rewards/format_reward": 0.996875,
|
114 |
+
"step": 80
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"completion_length": 47.53125,
|
118 |
+
"epoch": 0.072,
|
119 |
+
"grad_norm": 0.08292120695114136,
|
120 |
+
"kl": 0.0712646484375,
|
121 |
+
"learning_rate": 9.55e-07,
|
122 |
+
"loss": 0.0007,
|
123 |
+
"reward": 2.825,
|
124 |
+
"reward_std": 0.05,
|
125 |
+
"rewards/accuracy_reward": 1.825,
|
126 |
+
"rewards/format_reward": 1.0,
|
127 |
+
"step": 90
|
128 |
+
},
|
129 |
+
{
|
130 |
+
"completion_length": 46.703125,
|
131 |
+
"epoch": 0.08,
|
132 |
+
"grad_norm": 2.7465286254882812,
|
133 |
+
"kl": 0.05367431640625,
|
134 |
+
"learning_rate": 9.499999999999999e-07,
|
135 |
+
"loss": 0.0005,
|
136 |
+
"reward": 2.71875,
|
137 |
+
"reward_std": 0.07693375647068024,
|
138 |
+
"rewards/accuracy_reward": 1.71875,
|
139 |
+
"rewards/format_reward": 1.0,
|
140 |
+
"step": 100
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"completion_length": 46.225,
|
144 |
+
"epoch": 0.088,
|
145 |
+
"grad_norm": 2.1839213371276855,
|
146 |
+
"kl": 0.0655517578125,
|
147 |
+
"learning_rate": 9.45e-07,
|
148 |
+
"loss": 0.0007,
|
149 |
+
"reward": 2.609375,
|
150 |
+
"reward_std": 0.03125,
|
151 |
+
"rewards/accuracy_reward": 1.61875,
|
152 |
+
"rewards/format_reward": 0.990625,
|
153 |
+
"step": 110
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"completion_length": 44.096875,
|
157 |
+
"epoch": 0.096,
|
158 |
+
"grad_norm": 0.07181887328624725,
|
159 |
+
"kl": 0.06865234375,
|
160 |
+
"learning_rate": 9.399999999999999e-07,
|
161 |
+
"loss": 0.0007,
|
162 |
+
"reward": 2.71875,
|
163 |
+
"reward_std": 0.0125,
|
164 |
+
"rewards/accuracy_reward": 1.71875,
|
165 |
+
"rewards/format_reward": 1.0,
|
166 |
+
"step": 120
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"completion_length": 44.590625,
|
170 |
+
"epoch": 0.104,
|
171 |
+
"grad_norm": 0.09902142733335495,
|
172 |
+
"kl": 0.0936767578125,
|
173 |
+
"learning_rate": 9.35e-07,
|
174 |
+
"loss": 0.0009,
|
175 |
+
"reward": 2.56875,
|
176 |
+
"reward_std": 0.0625,
|
177 |
+
"rewards/accuracy_reward": 1.575,
|
178 |
+
"rewards/format_reward": 0.99375,
|
179 |
+
"step": 130
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"completion_length": 43.81875,
|
183 |
+
"epoch": 0.112,
|
184 |
+
"grad_norm": 2.340815305709839,
|
185 |
+
"kl": 0.066015625,
|
186 |
+
"learning_rate": 9.3e-07,
|
187 |
+
"loss": 0.0007,
|
188 |
+
"reward": 2.75,
|
189 |
+
"reward_std": 0.025,
|
190 |
+
"rewards/accuracy_reward": 1.75,
|
191 |
+
"rewards/format_reward": 1.0,
|
192 |
+
"step": 140
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"completion_length": 49.06875,
|
196 |
+
"epoch": 0.12,
|
197 |
+
"grad_norm": 2.58245849609375,
|
198 |
+
"kl": 0.0600341796875,
|
199 |
+
"learning_rate": 9.25e-07,
|
200 |
+
"loss": 0.0006,
|
201 |
+
"reward": 2.7125,
|
202 |
+
"reward_std": 0.125,
|
203 |
+
"rewards/accuracy_reward": 1.7125,
|
204 |
+
"rewards/format_reward": 1.0,
|
205 |
+
"step": 150
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"completion_length": 52.84375,
|
209 |
+
"epoch": 0.128,
|
210 |
+
"grad_norm": 0.06839890778064728,
|
211 |
+
"kl": 0.0785400390625,
|
212 |
+
"learning_rate": 9.2e-07,
|
213 |
+
"loss": 0.0008,
|
214 |
+
"reward": 2.7,
|
215 |
+
"reward_std": 0.03943375647068024,
|
216 |
+
"rewards/accuracy_reward": 1.7,
|
217 |
+
"rewards/format_reward": 1.0,
|
218 |
+
"step": 160
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"completion_length": 47.7,
|
222 |
+
"epoch": 0.136,
|
223 |
+
"grad_norm": 0.11428700387477875,
|
224 |
+
"kl": 0.06865234375,
|
225 |
+
"learning_rate": 9.15e-07,
|
226 |
+
"loss": 0.0007,
|
227 |
+
"reward": 2.75,
|
228 |
+
"reward_std": 0.025,
|
229 |
+
"rewards/accuracy_reward": 1.75,
|
230 |
+
"rewards/format_reward": 1.0,
|
231 |
+
"step": 170
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"completion_length": 43.478125,
|
235 |
+
"epoch": 0.144,
|
236 |
+
"grad_norm": 2.188392400741577,
|
237 |
+
"kl": 0.062451171875,
|
238 |
+
"learning_rate": 9.1e-07,
|
239 |
+
"loss": 0.0006,
|
240 |
+
"reward": 2.615625,
|
241 |
+
"reward_std": 0.06875,
|
242 |
+
"rewards/accuracy_reward": 1.61875,
|
243 |
+
"rewards/format_reward": 0.996875,
|
244 |
+
"step": 180
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"completion_length": 42.540625,
|
248 |
+
"epoch": 0.152,
|
249 |
+
"grad_norm": 3.399991512298584,
|
250 |
+
"kl": 0.076953125,
|
251 |
+
"learning_rate": 9.05e-07,
|
252 |
+
"loss": 0.0008,
|
253 |
+
"reward": 2.64375,
|
254 |
+
"reward_std": 0.09136751294136047,
|
255 |
+
"rewards/accuracy_reward": 1.64375,
|
256 |
+
"rewards/format_reward": 1.0,
|
257 |
+
"step": 190
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"completion_length": 50.21875,
|
261 |
+
"epoch": 0.16,
|
262 |
+
"grad_norm": 0.10214658826589584,
|
263 |
+
"kl": 0.09365234375,
|
264 |
+
"learning_rate": 9e-07,
|
265 |
+
"loss": 0.0009,
|
266 |
+
"reward": 2.784375,
|
267 |
+
"reward_std": 0.05625,
|
268 |
+
"rewards/accuracy_reward": 1.7875,
|
269 |
+
"rewards/format_reward": 0.996875,
|
270 |
+
"step": 200
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"completion_length": 54.35,
|
274 |
+
"epoch": 0.168,
|
275 |
+
"grad_norm": 0.08639144152402878,
|
276 |
+
"kl": 0.1749267578125,
|
277 |
+
"learning_rate": 8.95e-07,
|
278 |
+
"loss": 0.0017,
|
279 |
+
"reward": 2.7875,
|
280 |
+
"reward_std": 0.014433756470680237,
|
281 |
+
"rewards/accuracy_reward": 1.7875,
|
282 |
+
"rewards/format_reward": 1.0,
|
283 |
+
"step": 210
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"completion_length": 56.29375,
|
287 |
+
"epoch": 0.176,
|
288 |
+
"grad_norm": 0.06954076141119003,
|
289 |
+
"kl": 0.119091796875,
|
290 |
+
"learning_rate": 8.9e-07,
|
291 |
+
"loss": 0.0012,
|
292 |
+
"reward": 2.75,
|
293 |
+
"reward_std": 0.025,
|
294 |
+
"rewards/accuracy_reward": 1.75625,
|
295 |
+
"rewards/format_reward": 0.99375,
|
296 |
+
"step": 220
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"completion_length": 48.8875,
|
300 |
+
"epoch": 0.184,
|
301 |
+
"grad_norm": 0.06490013003349304,
|
302 |
+
"kl": 0.12080078125,
|
303 |
+
"learning_rate": 8.85e-07,
|
304 |
+
"loss": 0.0012,
|
305 |
+
"reward": 2.65,
|
306 |
+
"reward_std": 0.07886751294136048,
|
307 |
+
"rewards/accuracy_reward": 1.65,
|
308 |
+
"rewards/format_reward": 1.0,
|
309 |
+
"step": 230
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"completion_length": 41.115625,
|
313 |
+
"epoch": 0.192,
|
314 |
+
"grad_norm": 0.12679292261600494,
|
315 |
+
"kl": 0.12470703125,
|
316 |
+
"learning_rate": 8.799999999999999e-07,
|
317 |
+
"loss": 0.0012,
|
318 |
+
"reward": 2.8125,
|
319 |
+
"reward_std": 0.07886751294136048,
|
320 |
+
"rewards/accuracy_reward": 1.81875,
|
321 |
+
"rewards/format_reward": 0.99375,
|
322 |
+
"step": 240
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"completion_length": 40.4125,
|
326 |
+
"epoch": 0.2,
|
327 |
+
"grad_norm": 0.11438746750354767,
|
328 |
+
"kl": 30.11142578125,
|
329 |
+
"learning_rate": 8.75e-07,
|
330 |
+
"loss": 0.3012,
|
331 |
+
"reward": 2.725,
|
332 |
+
"reward_std": 0.05,
|
333 |
+
"rewards/accuracy_reward": 1.73125,
|
334 |
+
"rewards/format_reward": 0.99375,
|
335 |
+
"step": 250
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"completion_length": 46.790625,
|
339 |
+
"epoch": 0.208,
|
340 |
+
"grad_norm": 2.282456159591675,
|
341 |
+
"kl": 0.10205078125,
|
342 |
+
"learning_rate": 8.699999999999999e-07,
|
343 |
+
"loss": 0.001,
|
344 |
+
"reward": 2.578125,
|
345 |
+
"reward_std": 0.06875,
|
346 |
+
"rewards/accuracy_reward": 1.58125,
|
347 |
+
"rewards/format_reward": 0.996875,
|
348 |
+
"step": 260
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"completion_length": 52.253125,
|
352 |
+
"epoch": 0.216,
|
353 |
+
"grad_norm": 1.9098315238952637,
|
354 |
+
"kl": 0.105810546875,
|
355 |
+
"learning_rate": 8.65e-07,
|
356 |
+
"loss": 0.0011,
|
357 |
+
"reward": 2.8,
|
358 |
+
"reward_std": 0.07886751294136048,
|
359 |
+
"rewards/accuracy_reward": 1.8,
|
360 |
+
"rewards/format_reward": 1.0,
|
361 |
+
"step": 270
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"completion_length": 49.828125,
|
365 |
+
"epoch": 0.224,
|
366 |
+
"grad_norm": 0.058336157351732254,
|
367 |
+
"kl": 0.0714599609375,
|
368 |
+
"learning_rate": 8.599999999999999e-07,
|
369 |
+
"loss": 0.0007,
|
370 |
+
"reward": 2.73125,
|
371 |
+
"reward_std": 0.0375,
|
372 |
+
"rewards/accuracy_reward": 1.73125,
|
373 |
+
"rewards/format_reward": 1.0,
|
374 |
+
"step": 280
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"completion_length": 47.14375,
|
378 |
+
"epoch": 0.232,
|
379 |
+
"grad_norm": 0.07711385935544968,
|
380 |
+
"kl": 0.08037109375,
|
381 |
+
"learning_rate": 8.55e-07,
|
382 |
+
"loss": 0.0008,
|
383 |
+
"reward": 2.875,
|
384 |
+
"reward_std": 0.03943375647068024,
|
385 |
+
"rewards/accuracy_reward": 1.875,
|
386 |
+
"rewards/format_reward": 1.0,
|
387 |
+
"step": 290
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"completion_length": 46.759375,
|
391 |
+
"epoch": 0.24,
|
392 |
+
"grad_norm": 0.059466563165187836,
|
393 |
+
"kl": 0.079248046875,
|
394 |
+
"learning_rate": 8.499999999999999e-07,
|
395 |
+
"loss": 0.0008,
|
396 |
+
"reward": 2.70625,
|
397 |
+
"reward_std": 0.051933756470680235,
|
398 |
+
"rewards/accuracy_reward": 1.70625,
|
399 |
+
"rewards/format_reward": 1.0,
|
400 |
+
"step": 300
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"completion_length": 48.540625,
|
404 |
+
"epoch": 0.248,
|
405 |
+
"grad_norm": 3.2264294624328613,
|
406 |
+
"kl": 0.0768310546875,
|
407 |
+
"learning_rate": 8.45e-07,
|
408 |
+
"loss": 0.0008,
|
409 |
+
"reward": 2.7375,
|
410 |
+
"reward_std": 0.075,
|
411 |
+
"rewards/accuracy_reward": 1.7375,
|
412 |
+
"rewards/format_reward": 1.0,
|
413 |
+
"step": 310
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"completion_length": 46.85,
|
417 |
+
"epoch": 0.256,
|
418 |
+
"grad_norm": 0.08373435586690903,
|
419 |
+
"kl": 0.088037109375,
|
420 |
+
"learning_rate": 8.399999999999999e-07,
|
421 |
+
"loss": 0.0009,
|
422 |
+
"reward": 2.728125,
|
423 |
+
"reward_std": 0.08318375647068024,
|
424 |
+
"rewards/accuracy_reward": 1.73125,
|
425 |
+
"rewards/format_reward": 0.996875,
|
426 |
+
"step": 320
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"completion_length": 45.0125,
|
430 |
+
"epoch": 0.264,
|
431 |
+
"grad_norm": 0.08248328417539597,
|
432 |
+
"kl": 0.084375,
|
433 |
+
"learning_rate": 8.349999999999999e-07,
|
434 |
+
"loss": 0.0008,
|
435 |
+
"reward": 2.684375,
|
436 |
+
"reward_std": 0.04568375647068024,
|
437 |
+
"rewards/accuracy_reward": 1.6875,
|
438 |
+
"rewards/format_reward": 0.996875,
|
439 |
+
"step": 330
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"completion_length": 47.1,
|
443 |
+
"epoch": 0.272,
|
444 |
+
"grad_norm": 0.08357389271259308,
|
445 |
+
"kl": 0.07880859375,
|
446 |
+
"learning_rate": 8.299999999999999e-07,
|
447 |
+
"loss": 0.0008,
|
448 |
+
"reward": 2.628125,
|
449 |
+
"reward_std": 0.03318375647068024,
|
450 |
+
"rewards/accuracy_reward": 1.63125,
|
451 |
+
"rewards/format_reward": 0.996875,
|
452 |
+
"step": 340
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"completion_length": 48.95625,
|
456 |
+
"epoch": 0.28,
|
457 |
+
"grad_norm": 1.7901896238327026,
|
458 |
+
"kl": 0.084033203125,
|
459 |
+
"learning_rate": 8.249999999999999e-07,
|
460 |
+
"loss": 0.0008,
|
461 |
+
"reward": 2.609375,
|
462 |
+
"reward_std": 0.03125,
|
463 |
+
"rewards/accuracy_reward": 1.6125,
|
464 |
+
"rewards/format_reward": 0.996875,
|
465 |
+
"step": 350
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"completion_length": 46.15,
|
469 |
+
"epoch": 0.288,
|
470 |
+
"grad_norm": 0.07559721171855927,
|
471 |
+
"kl": 0.14404296875,
|
472 |
+
"learning_rate": 8.199999999999999e-07,
|
473 |
+
"loss": 0.0014,
|
474 |
+
"reward": 2.778125,
|
475 |
+
"reward_std": 0.04375,
|
476 |
+
"rewards/accuracy_reward": 1.78125,
|
477 |
+
"rewards/format_reward": 0.996875,
|
478 |
+
"step": 360
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"completion_length": 43.8375,
|
482 |
+
"epoch": 0.296,
|
483 |
+
"grad_norm": 3.8727450370788574,
|
484 |
+
"kl": 0.109521484375,
|
485 |
+
"learning_rate": 8.149999999999999e-07,
|
486 |
+
"loss": 0.0011,
|
487 |
+
"reward": 2.83125,
|
488 |
+
"reward_std": 0.0375,
|
489 |
+
"rewards/accuracy_reward": 1.83125,
|
490 |
+
"rewards/format_reward": 1.0,
|
491 |
+
"step": 370
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"completion_length": 45.9625,
|
495 |
+
"epoch": 0.304,
|
496 |
+
"grad_norm": 0.05233932286500931,
|
497 |
+
"kl": 0.0930908203125,
|
498 |
+
"learning_rate": 8.1e-07,
|
499 |
+
"loss": 0.0009,
|
500 |
+
"reward": 2.796875,
|
501 |
+
"reward_std": 0.00625,
|
502 |
+
"rewards/accuracy_reward": 1.8,
|
503 |
+
"rewards/format_reward": 0.996875,
|
504 |
+
"step": 380
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"completion_length": 49.55,
|
508 |
+
"epoch": 0.312,
|
509 |
+
"grad_norm": 4.457919120788574,
|
510 |
+
"kl": 0.0723876953125,
|
511 |
+
"learning_rate": 8.05e-07,
|
512 |
+
"loss": 0.0007,
|
513 |
+
"reward": 2.75,
|
514 |
+
"reward_std": 0.053867512941360475,
|
515 |
+
"rewards/accuracy_reward": 1.75,
|
516 |
+
"rewards/format_reward": 1.0,
|
517 |
+
"step": 390
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"completion_length": 50.909375,
|
521 |
+
"epoch": 0.32,
|
522 |
+
"grad_norm": 0.050397127866744995,
|
523 |
+
"kl": 0.08388671875,
|
524 |
+
"learning_rate": 8e-07,
|
525 |
+
"loss": 0.0008,
|
526 |
+
"reward": 2.7625,
|
527 |
+
"reward_std": 0.025,
|
528 |
+
"rewards/accuracy_reward": 1.7625,
|
529 |
+
"rewards/format_reward": 1.0,
|
530 |
+
"step": 400
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"completion_length": 49.165625,
|
534 |
+
"epoch": 0.328,
|
535 |
+
"grad_norm": 0.1388678401708603,
|
536 |
+
"kl": 0.084033203125,
|
537 |
+
"learning_rate": 7.95e-07,
|
538 |
+
"loss": 0.0008,
|
539 |
+
"reward": 2.6875,
|
540 |
+
"reward_std": 0.014433756470680237,
|
541 |
+
"rewards/accuracy_reward": 1.6875,
|
542 |
+
"rewards/format_reward": 1.0,
|
543 |
+
"step": 410
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"completion_length": 48.190625,
|
547 |
+
"epoch": 0.336,
|
548 |
+
"grad_norm": 2.034395933151245,
|
549 |
+
"kl": 0.078125,
|
550 |
+
"learning_rate": 7.9e-07,
|
551 |
+
"loss": 0.0008,
|
552 |
+
"reward": 2.76875,
|
553 |
+
"reward_std": 0.0375,
|
554 |
+
"rewards/accuracy_reward": 1.76875,
|
555 |
+
"rewards/format_reward": 1.0,
|
556 |
+
"step": 420
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"completion_length": 49.45,
|
560 |
+
"epoch": 0.344,
|
561 |
+
"grad_norm": 2.2621846199035645,
|
562 |
+
"kl": 0.075048828125,
|
563 |
+
"learning_rate": 7.85e-07,
|
564 |
+
"loss": 0.0008,
|
565 |
+
"reward": 2.634375,
|
566 |
+
"reward_std": 0.03125,
|
567 |
+
"rewards/accuracy_reward": 1.6375,
|
568 |
+
"rewards/format_reward": 0.996875,
|
569 |
+
"step": 430
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"completion_length": 52.03125,
|
573 |
+
"epoch": 0.352,
|
574 |
+
"grad_norm": 2.9660024642944336,
|
575 |
+
"kl": 0.0776123046875,
|
576 |
+
"learning_rate": 7.799999999999999e-07,
|
577 |
+
"loss": 0.0008,
|
578 |
+
"reward": 2.7625,
|
579 |
+
"reward_std": 0.03943375647068024,
|
580 |
+
"rewards/accuracy_reward": 1.7625,
|
581 |
+
"rewards/format_reward": 1.0,
|
582 |
+
"step": 440
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"completion_length": 52.496875,
|
586 |
+
"epoch": 0.36,
|
587 |
+
"grad_norm": 0.040182050317525864,
|
588 |
+
"kl": 0.0726806640625,
|
589 |
+
"learning_rate": 7.75e-07,
|
590 |
+
"loss": 0.0007,
|
591 |
+
"reward": 2.6875,
|
592 |
+
"reward_std": 0.025,
|
593 |
+
"rewards/accuracy_reward": 1.6875,
|
594 |
+
"rewards/format_reward": 1.0,
|
595 |
+
"step": 450
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"completion_length": 51.725,
|
599 |
+
"epoch": 0.368,
|
600 |
+
"grad_norm": 0.06841447949409485,
|
601 |
+
"kl": 0.0802001953125,
|
602 |
+
"learning_rate": 7.699999999999999e-07,
|
603 |
+
"loss": 0.0008,
|
604 |
+
"reward": 2.8,
|
605 |
+
"reward_std": 0.0,
|
606 |
+
"rewards/accuracy_reward": 1.8,
|
607 |
+
"rewards/format_reward": 1.0,
|
608 |
+
"step": 460
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"completion_length": 48.14375,
|
612 |
+
"epoch": 0.376,
|
613 |
+
"grad_norm": 0.04733005911111832,
|
614 |
+
"kl": 0.0659912109375,
|
615 |
+
"learning_rate": 7.65e-07,
|
616 |
+
"loss": 0.0007,
|
617 |
+
"reward": 2.61875,
|
618 |
+
"reward_std": 0.0125,
|
619 |
+
"rewards/accuracy_reward": 1.61875,
|
620 |
+
"rewards/format_reward": 1.0,
|
621 |
+
"step": 470
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"completion_length": 46.89375,
|
625 |
+
"epoch": 0.384,
|
626 |
+
"grad_norm": 2.7484917640686035,
|
627 |
+
"kl": 0.0697998046875,
|
628 |
+
"learning_rate": 7.599999999999999e-07,
|
629 |
+
"loss": 0.0007,
|
630 |
+
"reward": 2.74375,
|
631 |
+
"reward_std": 0.09136751294136047,
|
632 |
+
"rewards/accuracy_reward": 1.74375,
|
633 |
+
"rewards/format_reward": 1.0,
|
634 |
+
"step": 480
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"completion_length": 48.48125,
|
638 |
+
"epoch": 0.392,
|
639 |
+
"grad_norm": 1.7968782186508179,
|
640 |
+
"kl": 0.0580078125,
|
641 |
+
"learning_rate": 7.55e-07,
|
642 |
+
"loss": 0.0006,
|
643 |
+
"reward": 2.7125,
|
644 |
+
"reward_std": 0.025,
|
645 |
+
"rewards/accuracy_reward": 1.7125,
|
646 |
+
"rewards/format_reward": 1.0,
|
647 |
+
"step": 490
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"completion_length": 50.034375,
|
651 |
+
"epoch": 0.4,
|
652 |
+
"grad_norm": 0.08426347374916077,
|
653 |
+
"kl": 0.077099609375,
|
654 |
+
"learning_rate": 7.5e-07,
|
655 |
+
"loss": 0.0008,
|
656 |
+
"reward": 2.68125,
|
657 |
+
"reward_std": 0.04136751294136047,
|
658 |
+
"rewards/accuracy_reward": 1.68125,
|
659 |
+
"rewards/format_reward": 1.0,
|
660 |
+
"step": 500
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"completion_length": 51.378125,
|
664 |
+
"epoch": 0.408,
|
665 |
+
"grad_norm": 0.040815118700265884,
|
666 |
+
"kl": 0.06416015625,
|
667 |
+
"learning_rate": 7.45e-07,
|
668 |
+
"loss": 0.0006,
|
669 |
+
"reward": 2.73125,
|
670 |
+
"reward_std": 0.026933756470680238,
|
671 |
+
"rewards/accuracy_reward": 1.73125,
|
672 |
+
"rewards/format_reward": 1.0,
|
673 |
+
"step": 510
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"completion_length": 49.878125,
|
677 |
+
"epoch": 0.416,
|
678 |
+
"grad_norm": 0.06027600169181824,
|
679 |
+
"kl": 0.0675537109375,
|
680 |
+
"learning_rate": 7.4e-07,
|
681 |
+
"loss": 0.0007,
|
682 |
+
"reward": 2.671875,
|
683 |
+
"reward_std": 0.00625,
|
684 |
+
"rewards/accuracy_reward": 1.675,
|
685 |
+
"rewards/format_reward": 0.996875,
|
686 |
+
"step": 520
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"completion_length": 47.921875,
|
690 |
+
"epoch": 0.424,
|
691 |
+
"grad_norm": 0.06604389101266861,
|
692 |
+
"kl": 0.07177734375,
|
693 |
+
"learning_rate": 7.35e-07,
|
694 |
+
"loss": 0.0007,
|
695 |
+
"reward": 2.675,
|
696 |
+
"reward_std": 0.08943375647068023,
|
697 |
+
"rewards/accuracy_reward": 1.68125,
|
698 |
+
"rewards/format_reward": 0.99375,
|
699 |
+
"step": 530
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"completion_length": 41.890625,
|
703 |
+
"epoch": 0.432,
|
704 |
+
"grad_norm": 2.579275608062744,
|
705 |
+
"kl": 0.080859375,
|
706 |
+
"learning_rate": 7.3e-07,
|
707 |
+
"loss": 0.0008,
|
708 |
+
"reward": 2.75,
|
709 |
+
"reward_std": 0.03943375647068024,
|
710 |
+
"rewards/accuracy_reward": 1.75,
|
711 |
+
"rewards/format_reward": 1.0,
|
712 |
+
"step": 540
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"completion_length": 44.046875,
|
716 |
+
"epoch": 0.44,
|
717 |
+
"grad_norm": 0.04179125651717186,
|
718 |
+
"kl": 0.076025390625,
|
719 |
+
"learning_rate": 7.249999999999999e-07,
|
720 |
+
"loss": 0.0008,
|
721 |
+
"reward": 2.5375,
|
722 |
+
"reward_std": 0.025,
|
723 |
+
"rewards/accuracy_reward": 1.5375,
|
724 |
+
"rewards/format_reward": 1.0,
|
725 |
+
"step": 550
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"completion_length": 46.725,
|
729 |
+
"epoch": 0.448,
|
730 |
+
"grad_norm": 0.04865502566099167,
|
731 |
+
"kl": 0.075830078125,
|
732 |
+
"learning_rate": 7.2e-07,
|
733 |
+
"loss": 0.0008,
|
734 |
+
"reward": 2.66875,
|
735 |
+
"reward_std": 0.0125,
|
736 |
+
"rewards/accuracy_reward": 1.66875,
|
737 |
+
"rewards/format_reward": 1.0,
|
738 |
+
"step": 560
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"completion_length": 48.0875,
|
742 |
+
"epoch": 0.456,
|
743 |
+
"grad_norm": 0.1781499981880188,
|
744 |
+
"kl": 92.47451171875,
|
745 |
+
"learning_rate": 7.149999999999999e-07,
|
746 |
+
"loss": 0.9243,
|
747 |
+
"reward": 2.8,
|
748 |
+
"reward_std": 0.025,
|
749 |
+
"rewards/accuracy_reward": 1.8,
|
750 |
+
"rewards/format_reward": 1.0,
|
751 |
+
"step": 570
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"completion_length": 49.703125,
|
755 |
+
"epoch": 0.464,
|
756 |
+
"grad_norm": 0.05255131423473358,
|
757 |
+
"kl": 0.0656982421875,
|
758 |
+
"learning_rate": 7.1e-07,
|
759 |
+
"loss": 0.0007,
|
760 |
+
"reward": 2.6625,
|
761 |
+
"reward_std": 0.025,
|
762 |
+
"rewards/accuracy_reward": 1.6625,
|
763 |
+
"rewards/format_reward": 1.0,
|
764 |
+
"step": 580
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"completion_length": 52.06875,
|
768 |
+
"epoch": 0.472,
|
769 |
+
"grad_norm": 0.1266418695449829,
|
770 |
+
"kl": 0.0781005859375,
|
771 |
+
"learning_rate": 7.049999999999999e-07,
|
772 |
+
"loss": 0.0008,
|
773 |
+
"reward": 2.75,
|
774 |
+
"reward_std": 0.025,
|
775 |
+
"rewards/accuracy_reward": 1.75,
|
776 |
+
"rewards/format_reward": 1.0,
|
777 |
+
"step": 590
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"completion_length": 53.475,
|
781 |
+
"epoch": 0.48,
|
782 |
+
"grad_norm": 0.07561592757701874,
|
783 |
+
"kl": 0.0699951171875,
|
784 |
+
"learning_rate": 7e-07,
|
785 |
+
"loss": 0.0007,
|
786 |
+
"reward": 2.6875,
|
787 |
+
"reward_std": 0.053867512941360475,
|
788 |
+
"rewards/accuracy_reward": 1.6875,
|
789 |
+
"rewards/format_reward": 1.0,
|
790 |
+
"step": 600
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"completion_length": 52.0625,
|
794 |
+
"epoch": 0.488,
|
795 |
+
"grad_norm": 0.04883831739425659,
|
796 |
+
"kl": 0.0799560546875,
|
797 |
+
"learning_rate": 6.949999999999999e-07,
|
798 |
+
"loss": 0.0008,
|
799 |
+
"reward": 2.65625,
|
800 |
+
"reward_std": 0.0125,
|
801 |
+
"rewards/accuracy_reward": 1.65625,
|
802 |
+
"rewards/format_reward": 1.0,
|
803 |
+
"step": 610
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"completion_length": 49.54375,
|
807 |
+
"epoch": 0.496,
|
808 |
+
"grad_norm": 2.3243064880371094,
|
809 |
+
"kl": 0.0752685546875,
|
810 |
+
"learning_rate": 6.9e-07,
|
811 |
+
"loss": 0.0008,
|
812 |
+
"reward": 2.815625,
|
813 |
+
"reward_std": 0.058183756470680234,
|
814 |
+
"rewards/accuracy_reward": 1.81875,
|
815 |
+
"rewards/format_reward": 0.996875,
|
816 |
+
"step": 620
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"completion_length": 48.690625,
|
820 |
+
"epoch": 0.504,
|
821 |
+
"grad_norm": 0.06750122457742691,
|
822 |
+
"kl": 0.06513671875,
|
823 |
+
"learning_rate": 6.85e-07,
|
824 |
+
"loss": 0.0007,
|
825 |
+
"reward": 2.84375,
|
826 |
+
"reward_std": 0.0375,
|
827 |
+
"rewards/accuracy_reward": 1.84375,
|
828 |
+
"rewards/format_reward": 1.0,
|
829 |
+
"step": 630
|
830 |
+
},
|
831 |
+
{
|
832 |
+
"completion_length": 49.271875,
|
833 |
+
"epoch": 0.512,
|
834 |
+
"grad_norm": 0.056099992245435715,
|
835 |
+
"kl": 0.0666259765625,
|
836 |
+
"learning_rate": 6.800000000000001e-07,
|
837 |
+
"loss": 0.0007,
|
838 |
+
"reward": 2.69375,
|
839 |
+
"reward_std": 0.0125,
|
840 |
+
"rewards/accuracy_reward": 1.69375,
|
841 |
+
"rewards/format_reward": 1.0,
|
842 |
+
"step": 640
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"completion_length": 46.4375,
|
846 |
+
"epoch": 0.52,
|
847 |
+
"grad_norm": 0.0455087348818779,
|
848 |
+
"kl": 0.0546630859375,
|
849 |
+
"learning_rate": 6.75e-07,
|
850 |
+
"loss": 0.0005,
|
851 |
+
"reward": 2.75625,
|
852 |
+
"reward_std": 0.0125,
|
853 |
+
"rewards/accuracy_reward": 1.75625,
|
854 |
+
"rewards/format_reward": 1.0,
|
855 |
+
"step": 650
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"completion_length": 46.496875,
|
859 |
+
"epoch": 0.528,
|
860 |
+
"grad_norm": 0.05418640747666359,
|
861 |
+
"kl": 0.0645263671875,
|
862 |
+
"learning_rate": 6.7e-07,
|
863 |
+
"loss": 0.0006,
|
864 |
+
"reward": 2.6875,
|
865 |
+
"reward_std": 0.014433756470680237,
|
866 |
+
"rewards/accuracy_reward": 1.6875,
|
867 |
+
"rewards/format_reward": 1.0,
|
868 |
+
"step": 660
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"completion_length": 46.328125,
|
872 |
+
"epoch": 0.536,
|
873 |
+
"grad_norm": 4.0458455085754395,
|
874 |
+
"kl": 0.081103515625,
|
875 |
+
"learning_rate": 6.65e-07,
|
876 |
+
"loss": 0.0008,
|
877 |
+
"reward": 2.65625,
|
878 |
+
"reward_std": 0.08080126941204072,
|
879 |
+
"rewards/accuracy_reward": 1.65625,
|
880 |
+
"rewards/format_reward": 1.0,
|
881 |
+
"step": 670
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"completion_length": 48.91875,
|
885 |
+
"epoch": 0.544,
|
886 |
+
"grad_norm": 0.04970540851354599,
|
887 |
+
"kl": 0.0717041015625,
|
888 |
+
"learning_rate": 6.6e-07,
|
889 |
+
"loss": 0.0007,
|
890 |
+
"reward": 2.7625,
|
891 |
+
"reward_std": 0.04330126941204071,
|
892 |
+
"rewards/accuracy_reward": 1.7625,
|
893 |
+
"rewards/format_reward": 1.0,
|
894 |
+
"step": 680
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"completion_length": 49.01875,
|
898 |
+
"epoch": 0.552,
|
899 |
+
"grad_norm": 0.1746923178434372,
|
900 |
+
"kl": 0.073779296875,
|
901 |
+
"learning_rate": 6.55e-07,
|
902 |
+
"loss": 0.0007,
|
903 |
+
"reward": 2.75,
|
904 |
+
"reward_std": 0.025,
|
905 |
+
"rewards/accuracy_reward": 1.75,
|
906 |
+
"rewards/format_reward": 1.0,
|
907 |
+
"step": 690
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"completion_length": 48.3125,
|
911 |
+
"epoch": 0.56,
|
912 |
+
"grad_norm": 0.051023293286561966,
|
913 |
+
"kl": 0.06783447265625,
|
914 |
+
"learning_rate": 6.5e-07,
|
915 |
+
"loss": 0.0007,
|
916 |
+
"reward": 2.7625,
|
917 |
+
"reward_std": 0.025,
|
918 |
+
"rewards/accuracy_reward": 1.7625,
|
919 |
+
"rewards/format_reward": 1.0,
|
920 |
+
"step": 700
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"completion_length": 49.11875,
|
924 |
+
"epoch": 0.568,
|
925 |
+
"grad_norm": 0.07166194915771484,
|
926 |
+
"kl": 0.0619384765625,
|
927 |
+
"learning_rate": 6.45e-07,
|
928 |
+
"loss": 0.0006,
|
929 |
+
"reward": 2.7375,
|
930 |
+
"reward_std": 0.014433756470680237,
|
931 |
+
"rewards/accuracy_reward": 1.7375,
|
932 |
+
"rewards/format_reward": 1.0,
|
933 |
+
"step": 710
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"completion_length": 51.103125,
|
937 |
+
"epoch": 0.576,
|
938 |
+
"grad_norm": 0.08520376682281494,
|
939 |
+
"kl": 0.0830078125,
|
940 |
+
"learning_rate": 6.4e-07,
|
941 |
+
"loss": 0.0008,
|
942 |
+
"reward": 2.7375,
|
943 |
+
"reward_std": 0.014433756470680237,
|
944 |
+
"rewards/accuracy_reward": 1.7375,
|
945 |
+
"rewards/format_reward": 1.0,
|
946 |
+
"step": 720
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"completion_length": 49.615625,
|
950 |
+
"epoch": 0.584,
|
951 |
+
"grad_norm": 0.10399647802114487,
|
952 |
+
"kl": 0.0688232421875,
|
953 |
+
"learning_rate": 6.35e-07,
|
954 |
+
"loss": 0.0007,
|
955 |
+
"reward": 2.69375,
|
956 |
+
"reward_std": 0.0125,
|
957 |
+
"rewards/accuracy_reward": 1.69375,
|
958 |
+
"rewards/format_reward": 1.0,
|
959 |
+
"step": 730
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"completion_length": 50.596875,
|
963 |
+
"epoch": 0.592,
|
964 |
+
"grad_norm": 0.06369677186012268,
|
965 |
+
"kl": 0.087890625,
|
966 |
+
"learning_rate": 6.3e-07,
|
967 |
+
"loss": 0.0009,
|
968 |
+
"reward": 2.61875,
|
969 |
+
"reward_std": 0.0375,
|
970 |
+
"rewards/accuracy_reward": 1.61875,
|
971 |
+
"rewards/format_reward": 1.0,
|
972 |
+
"step": 740
|
973 |
+
},
|
974 |
+
{
|
975 |
+
"completion_length": 50.56875,
|
976 |
+
"epoch": 0.6,
|
977 |
+
"grad_norm": 0.07198835164308548,
|
978 |
+
"kl": 0.10087890625,
|
979 |
+
"learning_rate": 6.249999999999999e-07,
|
980 |
+
"loss": 0.001,
|
981 |
+
"reward": 2.625,
|
982 |
+
"reward_std": 0.06443375647068024,
|
983 |
+
"rewards/accuracy_reward": 1.625,
|
984 |
+
"rewards/format_reward": 1.0,
|
985 |
+
"step": 750
|
986 |
+
},
|
987 |
+
{
|
988 |
+
"completion_length": 50.953125,
|
989 |
+
"epoch": 0.608,
|
990 |
+
"grad_norm": 0.04980659857392311,
|
991 |
+
"kl": 0.101806640625,
|
992 |
+
"learning_rate": 6.2e-07,
|
993 |
+
"loss": 0.001,
|
994 |
+
"reward": 2.721875,
|
995 |
+
"reward_std": 0.03125,
|
996 |
+
"rewards/accuracy_reward": 1.725,
|
997 |
+
"rewards/format_reward": 0.996875,
|
998 |
+
"step": 760
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"completion_length": 46.609375,
|
1002 |
+
"epoch": 0.616,
|
1003 |
+
"grad_norm": 2.673631191253662,
|
1004 |
+
"kl": 0.0730224609375,
|
1005 |
+
"learning_rate": 6.149999999999999e-07,
|
1006 |
+
"loss": 0.0007,
|
1007 |
+
"reward": 2.6875,
|
1008 |
+
"reward_std": 0.03943375647068024,
|
1009 |
+
"rewards/accuracy_reward": 1.6875,
|
1010 |
+
"rewards/format_reward": 1.0,
|
1011 |
+
"step": 770
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"completion_length": 46.16875,
|
1015 |
+
"epoch": 0.624,
|
1016 |
+
"grad_norm": 0.07191024720668793,
|
1017 |
+
"kl": 0.07197265625,
|
1018 |
+
"learning_rate": 6.1e-07,
|
1019 |
+
"loss": 0.0007,
|
1020 |
+
"reward": 2.6125,
|
1021 |
+
"reward_std": 0.03943375647068024,
|
1022 |
+
"rewards/accuracy_reward": 1.6125,
|
1023 |
+
"rewards/format_reward": 1.0,
|
1024 |
+
"step": 780
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"completion_length": 47.346875,
|
1028 |
+
"epoch": 0.632,
|
1029 |
+
"grad_norm": 0.31487828493118286,
|
1030 |
+
"kl": 0.0890625,
|
1031 |
+
"learning_rate": 6.049999999999999e-07,
|
1032 |
+
"loss": 0.0009,
|
1033 |
+
"reward": 2.7,
|
1034 |
+
"reward_std": 0.0,
|
1035 |
+
"rewards/accuracy_reward": 1.7,
|
1036 |
+
"rewards/format_reward": 1.0,
|
1037 |
+
"step": 790
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"completion_length": 48.5125,
|
1041 |
+
"epoch": 0.64,
|
1042 |
+
"grad_norm": 0.04281134530901909,
|
1043 |
+
"kl": 0.0651611328125,
|
1044 |
+
"learning_rate": 6e-07,
|
1045 |
+
"loss": 0.0007,
|
1046 |
+
"reward": 2.65,
|
1047 |
+
"reward_std": 0.0,
|
1048 |
+
"rewards/accuracy_reward": 1.65,
|
1049 |
+
"rewards/format_reward": 1.0,
|
1050 |
+
"step": 800
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"completion_length": 47.9625,
|
1054 |
+
"epoch": 0.648,
|
1055 |
+
"grad_norm": 1.7782899141311646,
|
1056 |
+
"kl": 0.0711669921875,
|
1057 |
+
"learning_rate": 5.949999999999999e-07,
|
1058 |
+
"loss": 0.0007,
|
1059 |
+
"reward": 2.634375,
|
1060 |
+
"reward_std": 0.04568375647068024,
|
1061 |
+
"rewards/accuracy_reward": 1.6375,
|
1062 |
+
"rewards/format_reward": 0.996875,
|
1063 |
+
"step": 810
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"completion_length": 47.7,
|
1067 |
+
"epoch": 0.656,
|
1068 |
+
"grad_norm": 0.9939271211624146,
|
1069 |
+
"kl": 0.07099609375,
|
1070 |
+
"learning_rate": 5.9e-07,
|
1071 |
+
"loss": 0.0007,
|
1072 |
+
"reward": 2.6625,
|
1073 |
+
"reward_std": 0.025,
|
1074 |
+
"rewards/accuracy_reward": 1.6625,
|
1075 |
+
"rewards/format_reward": 1.0,
|
1076 |
+
"step": 820
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"completion_length": 45.790625,
|
1080 |
+
"epoch": 0.664,
|
1081 |
+
"grad_norm": 0.05890406668186188,
|
1082 |
+
"kl": 0.0596923828125,
|
1083 |
+
"learning_rate": 5.849999999999999e-07,
|
1084 |
+
"loss": 0.0006,
|
1085 |
+
"reward": 2.696875,
|
1086 |
+
"reward_std": 0.00625,
|
1087 |
+
"rewards/accuracy_reward": 1.7,
|
1088 |
+
"rewards/format_reward": 0.996875,
|
1089 |
+
"step": 830
|
1090 |
+
},
|
1091 |
+
{
|
1092 |
+
"completion_length": 46.675,
|
1093 |
+
"epoch": 0.672,
|
1094 |
+
"grad_norm": 0.062360286712646484,
|
1095 |
+
"kl": 0.071240234375,
|
1096 |
+
"learning_rate": 5.8e-07,
|
1097 |
+
"loss": 0.0007,
|
1098 |
+
"reward": 2.5875,
|
1099 |
+
"reward_std": 0.025,
|
1100 |
+
"rewards/accuracy_reward": 1.5875,
|
1101 |
+
"rewards/format_reward": 1.0,
|
1102 |
+
"step": 840
|
1103 |
+
},
|
1104 |
+
{
|
1105 |
+
"completion_length": 47.621875,
|
1106 |
+
"epoch": 0.68,
|
1107 |
+
"grad_norm": 2.2732224464416504,
|
1108 |
+
"kl": 1.6703369140625,
|
1109 |
+
"learning_rate": 5.749999999999999e-07,
|
1110 |
+
"loss": 0.0167,
|
1111 |
+
"reward": 2.64375,
|
1112 |
+
"reward_std": 0.04136751294136047,
|
1113 |
+
"rewards/accuracy_reward": 1.64375,
|
1114 |
+
"rewards/format_reward": 1.0,
|
1115 |
+
"step": 850
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"completion_length": 50.35,
|
1119 |
+
"epoch": 0.688,
|
1120 |
+
"grad_norm": 2.1026487350463867,
|
1121 |
+
"kl": 0.09111328125,
|
1122 |
+
"learning_rate": 5.699999999999999e-07,
|
1123 |
+
"loss": 0.0009,
|
1124 |
+
"reward": 2.6625,
|
1125 |
+
"reward_std": 0.053867512941360475,
|
1126 |
+
"rewards/accuracy_reward": 1.6625,
|
1127 |
+
"rewards/format_reward": 1.0,
|
1128 |
+
"step": 860
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"completion_length": 52.321875,
|
1132 |
+
"epoch": 0.696,
|
1133 |
+
"grad_norm": 3.0173561573028564,
|
1134 |
+
"kl": 321.521728515625,
|
1135 |
+
"learning_rate": 5.649999999999999e-07,
|
1136 |
+
"loss": 3.2171,
|
1137 |
+
"reward": 2.46875,
|
1138 |
+
"reward_std": 0.04136751294136047,
|
1139 |
+
"rewards/accuracy_reward": 1.46875,
|
1140 |
+
"rewards/format_reward": 1.0,
|
1141 |
+
"step": 870
|
1142 |
+
},
|
1143 |
+
{
|
1144 |
+
"completion_length": 49.7625,
|
1145 |
+
"epoch": 0.704,
|
1146 |
+
"grad_norm": 0.06468257308006287,
|
1147 |
+
"kl": 0.39306640625,
|
1148 |
+
"learning_rate": 5.6e-07,
|
1149 |
+
"loss": 0.0039,
|
1150 |
+
"reward": 2.7125,
|
1151 |
+
"reward_std": 0.06443375647068024,
|
1152 |
+
"rewards/accuracy_reward": 1.7125,
|
1153 |
+
"rewards/format_reward": 1.0,
|
1154 |
+
"step": 880
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"completion_length": 48.240625,
|
1158 |
+
"epoch": 0.712,
|
1159 |
+
"grad_norm": 0.07906866073608398,
|
1160 |
+
"kl": 0.12939453125,
|
1161 |
+
"learning_rate": 5.55e-07,
|
1162 |
+
"loss": 0.0013,
|
1163 |
+
"reward": 2.68125,
|
1164 |
+
"reward_std": 0.026933756470680238,
|
1165 |
+
"rewards/accuracy_reward": 1.68125,
|
1166 |
+
"rewards/format_reward": 1.0,
|
1167 |
+
"step": 890
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"completion_length": 49.03125,
|
1171 |
+
"epoch": 0.72,
|
1172 |
+
"grad_norm": 0.07313551008701324,
|
1173 |
+
"kl": 0.18505859375,
|
1174 |
+
"learning_rate": 5.5e-07,
|
1175 |
+
"loss": 0.0019,
|
1176 |
+
"reward": 2.69375,
|
1177 |
+
"reward_std": 0.026933756470680238,
|
1178 |
+
"rewards/accuracy_reward": 1.69375,
|
1179 |
+
"rewards/format_reward": 1.0,
|
1180 |
+
"step": 900
|
1181 |
+
},
|
1182 |
+
{
|
1183 |
+
"completion_length": 49.60625,
|
1184 |
+
"epoch": 0.728,
|
1185 |
+
"grad_norm": 4.0763630867004395,
|
1186 |
+
"kl": 2.13671875,
|
1187 |
+
"learning_rate": 5.45e-07,
|
1188 |
+
"loss": 0.0213,
|
1189 |
+
"reward": 2.753125,
|
1190 |
+
"reward_std": 0.058183756470680234,
|
1191 |
+
"rewards/accuracy_reward": 1.75625,
|
1192 |
+
"rewards/format_reward": 0.996875,
|
1193 |
+
"step": 910
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"completion_length": 49.83125,
|
1197 |
+
"epoch": 0.736,
|
1198 |
+
"grad_norm": 4.245804786682129,
|
1199 |
+
"kl": 0.094384765625,
|
1200 |
+
"learning_rate": 5.4e-07,
|
1201 |
+
"loss": 0.0009,
|
1202 |
+
"reward": 2.75625,
|
1203 |
+
"reward_std": 0.04136751294136047,
|
1204 |
+
"rewards/accuracy_reward": 1.75625,
|
1205 |
+
"rewards/format_reward": 1.0,
|
1206 |
+
"step": 920
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"completion_length": 50.996875,
|
1210 |
+
"epoch": 0.744,
|
1211 |
+
"grad_norm": 39.86748504638672,
|
1212 |
+
"kl": 3.122021484375,
|
1213 |
+
"learning_rate": 5.35e-07,
|
1214 |
+
"loss": 0.0313,
|
1215 |
+
"reward": 2.8125,
|
1216 |
+
"reward_std": 0.03943375647068024,
|
1217 |
+
"rewards/accuracy_reward": 1.8125,
|
1218 |
+
"rewards/format_reward": 1.0,
|
1219 |
+
"step": 930
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"completion_length": 49.59375,
|
1223 |
+
"epoch": 0.752,
|
1224 |
+
"grad_norm": 0.05779128894209862,
|
1225 |
+
"kl": 0.0998046875,
|
1226 |
+
"learning_rate": 5.3e-07,
|
1227 |
+
"loss": 0.001,
|
1228 |
+
"reward": 2.79375,
|
1229 |
+
"reward_std": 0.051933756470680235,
|
1230 |
+
"rewards/accuracy_reward": 1.79375,
|
1231 |
+
"rewards/format_reward": 1.0,
|
1232 |
+
"step": 940
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"completion_length": 47.74375,
|
1236 |
+
"epoch": 0.76,
|
1237 |
+
"grad_norm": 0.056427907198667526,
|
1238 |
+
"kl": 0.445361328125,
|
1239 |
+
"learning_rate": 5.25e-07,
|
1240 |
+
"loss": 0.0045,
|
1241 |
+
"reward": 2.76875,
|
1242 |
+
"reward_std": 0.0125,
|
1243 |
+
"rewards/accuracy_reward": 1.76875,
|
1244 |
+
"rewards/format_reward": 1.0,
|
1245 |
+
"step": 950
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"completion_length": 48.50625,
|
1249 |
+
"epoch": 0.768,
|
1250 |
+
"grad_norm": 66.90420532226562,
|
1251 |
+
"kl": 2.232958984375,
|
1252 |
+
"learning_rate": 5.2e-07,
|
1253 |
+
"loss": 0.0223,
|
1254 |
+
"reward": 2.80625,
|
1255 |
+
"reward_std": 0.0375,
|
1256 |
+
"rewards/accuracy_reward": 1.80625,
|
1257 |
+
"rewards/format_reward": 1.0,
|
1258 |
+
"step": 960
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"completion_length": 51.01875,
|
1262 |
+
"epoch": 0.776,
|
1263 |
+
"grad_norm": 0.09945037215948105,
|
1264 |
+
"kl": 0.09228515625,
|
1265 |
+
"learning_rate": 5.149999999999999e-07,
|
1266 |
+
"loss": 0.0009,
|
1267 |
+
"reward": 2.775,
|
1268 |
+
"reward_std": 0.0,
|
1269 |
+
"rewards/accuracy_reward": 1.775,
|
1270 |
+
"rewards/format_reward": 1.0,
|
1271 |
+
"step": 970
|
1272 |
+
},
|
1273 |
+
{
|
1274 |
+
"completion_length": 50.090625,
|
1275 |
+
"epoch": 0.784,
|
1276 |
+
"grad_norm": 0.07448896020650864,
|
1277 |
+
"kl": 0.15419921875,
|
1278 |
+
"learning_rate": 5.1e-07,
|
1279 |
+
"loss": 0.0015,
|
1280 |
+
"reward": 2.76875,
|
1281 |
+
"reward_std": 0.0375,
|
1282 |
+
"rewards/accuracy_reward": 1.76875,
|
1283 |
+
"rewards/format_reward": 1.0,
|
1284 |
+
"step": 980
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"completion_length": 49.23125,
|
1288 |
+
"epoch": 0.792,
|
1289 |
+
"grad_norm": 2.0038902759552,
|
1290 |
+
"kl": 0.098828125,
|
1291 |
+
"learning_rate": 5.049999999999999e-07,
|
1292 |
+
"loss": 0.001,
|
1293 |
+
"reward": 2.64375,
|
1294 |
+
"reward_std": 0.0125,
|
1295 |
+
"rewards/accuracy_reward": 1.64375,
|
1296 |
+
"rewards/format_reward": 1.0,
|
1297 |
+
"step": 990
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"completion_length": 49.790625,
|
1301 |
+
"epoch": 0.8,
|
1302 |
+
"grad_norm": 0.03871207684278488,
|
1303 |
+
"kl": 0.31083984375,
|
1304 |
+
"learning_rate": 5e-07,
|
1305 |
+
"loss": 0.0031,
|
1306 |
+
"reward": 2.7625,
|
1307 |
+
"reward_std": 0.025,
|
1308 |
+
"rewards/accuracy_reward": 1.7625,
|
1309 |
+
"rewards/format_reward": 1.0,
|
1310 |
+
"step": 1000
|
1311 |
+
}
|
1312 |
+
],
|
1313 |
+
"logging_steps": 10,
|
1314 |
+
"max_steps": 2000,
|
1315 |
+
"num_input_tokens_seen": 0,
|
1316 |
+
"num_train_epochs": 2,
|
1317 |
+
"save_steps": 50,
|
1318 |
+
"stateful_callbacks": {
|
1319 |
+
"TrainerControl": {
|
1320 |
+
"args": {
|
1321 |
+
"should_epoch_stop": false,
|
1322 |
+
"should_evaluate": false,
|
1323 |
+
"should_log": false,
|
1324 |
+
"should_save": true,
|
1325 |
+
"should_training_stop": false
|
1326 |
+
},
|
1327 |
+
"attributes": {}
|
1328 |
+
}
|
1329 |
+
},
|
1330 |
+
"total_flos": 0.0,
|
1331 |
+
"train_batch_size": 1,
|
1332 |
+
"trial_name": null,
|
1333 |
+
"trial_params": null
|
1334 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fb811bdf08644d6639823c42b896641f215d0f15930e3300fe988259822e6a0f
|
3 |
+
size 7992
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|