Training in progress, step 200, checkpoint
Browse files- .gitattributes +1 -0
- checkpoint-200/README.md +209 -0
- checkpoint-200/adapter_config.json +47 -0
- checkpoint-200/adapter_model.safetensors +3 -0
- checkpoint-200/added_tokens.json +3 -0
- checkpoint-200/chat_template.jinja +47 -0
- checkpoint-200/optimizer.pt +3 -0
- checkpoint-200/preprocessor_config.json +29 -0
- checkpoint-200/processor_config.json +4 -0
- checkpoint-200/rng_state.pth +3 -0
- checkpoint-200/scheduler.pt +3 -0
- checkpoint-200/special_tokens_map.json +33 -0
- checkpoint-200/tokenizer.json +3 -0
- checkpoint-200/tokenizer.model +3 -0
- checkpoint-200/tokenizer_config.json +0 -0
- checkpoint-200/trainer_state.json +414 -0
- checkpoint-200/training_args.bin +3 -0
.gitattributes
CHANGED
@@ -43,3 +43,4 @@ checkpoint-120/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
43 |
checkpoint-140/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
44 |
checkpoint-160/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
45 |
checkpoint-180/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
43 |
checkpoint-140/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
44 |
checkpoint-160/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
45 |
checkpoint-180/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
46 |
+
checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
checkpoint-200/README.md
ADDED
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: google/medgemma-4b-it
|
3 |
+
library_name: peft
|
4 |
+
pipeline_tag: text-generation
|
5 |
+
tags:
|
6 |
+
- base_model:adapter:google/medgemma-4b-it
|
7 |
+
- lora
|
8 |
+
- sft
|
9 |
+
- transformers
|
10 |
+
- trl
|
11 |
+
---
|
12 |
+
|
13 |
+
# Model Card for Model ID
|
14 |
+
|
15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
## Model Details
|
20 |
+
|
21 |
+
### Model Description
|
22 |
+
|
23 |
+
<!-- Provide a longer summary of what this model is. -->
|
24 |
+
|
25 |
+
|
26 |
+
|
27 |
+
- **Developed by:** [More Information Needed]
|
28 |
+
- **Funded by [optional]:** [More Information Needed]
|
29 |
+
- **Shared by [optional]:** [More Information Needed]
|
30 |
+
- **Model type:** [More Information Needed]
|
31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
32 |
+
- **License:** [More Information Needed]
|
33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
34 |
+
|
35 |
+
### Model Sources [optional]
|
36 |
+
|
37 |
+
<!-- Provide the basic links for the model. -->
|
38 |
+
|
39 |
+
- **Repository:** [More Information Needed]
|
40 |
+
- **Paper [optional]:** [More Information Needed]
|
41 |
+
- **Demo [optional]:** [More Information Needed]
|
42 |
+
|
43 |
+
## Uses
|
44 |
+
|
45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
46 |
+
|
47 |
+
### Direct Use
|
48 |
+
|
49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
50 |
+
|
51 |
+
[More Information Needed]
|
52 |
+
|
53 |
+
### Downstream Use [optional]
|
54 |
+
|
55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
56 |
+
|
57 |
+
[More Information Needed]
|
58 |
+
|
59 |
+
### Out-of-Scope Use
|
60 |
+
|
61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
62 |
+
|
63 |
+
[More Information Needed]
|
64 |
+
|
65 |
+
## Bias, Risks, and Limitations
|
66 |
+
|
67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
68 |
+
|
69 |
+
[More Information Needed]
|
70 |
+
|
71 |
+
### Recommendations
|
72 |
+
|
73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
74 |
+
|
75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
76 |
+
|
77 |
+
## How to Get Started with the Model
|
78 |
+
|
79 |
+
Use the code below to get started with the model.
|
80 |
+
|
81 |
+
[More Information Needed]
|
82 |
+
|
83 |
+
## Training Details
|
84 |
+
|
85 |
+
### Training Data
|
86 |
+
|
87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
### Training Procedure
|
92 |
+
|
93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
94 |
+
|
95 |
+
#### Preprocessing [optional]
|
96 |
+
|
97 |
+
[More Information Needed]
|
98 |
+
|
99 |
+
|
100 |
+
#### Training Hyperparameters
|
101 |
+
|
102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
103 |
+
|
104 |
+
#### Speeds, Sizes, Times [optional]
|
105 |
+
|
106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
107 |
+
|
108 |
+
[More Information Needed]
|
109 |
+
|
110 |
+
## Evaluation
|
111 |
+
|
112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
113 |
+
|
114 |
+
### Testing Data, Factors & Metrics
|
115 |
+
|
116 |
+
#### Testing Data
|
117 |
+
|
118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
119 |
+
|
120 |
+
[More Information Needed]
|
121 |
+
|
122 |
+
#### Factors
|
123 |
+
|
124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
125 |
+
|
126 |
+
[More Information Needed]
|
127 |
+
|
128 |
+
#### Metrics
|
129 |
+
|
130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
131 |
+
|
132 |
+
[More Information Needed]
|
133 |
+
|
134 |
+
### Results
|
135 |
+
|
136 |
+
[More Information Needed]
|
137 |
+
|
138 |
+
#### Summary
|
139 |
+
|
140 |
+
|
141 |
+
|
142 |
+
## Model Examination [optional]
|
143 |
+
|
144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
145 |
+
|
146 |
+
[More Information Needed]
|
147 |
+
|
148 |
+
## Environmental Impact
|
149 |
+
|
150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
151 |
+
|
152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
153 |
+
|
154 |
+
- **Hardware Type:** [More Information Needed]
|
155 |
+
- **Hours used:** [More Information Needed]
|
156 |
+
- **Cloud Provider:** [More Information Needed]
|
157 |
+
- **Compute Region:** [More Information Needed]
|
158 |
+
- **Carbon Emitted:** [More Information Needed]
|
159 |
+
|
160 |
+
## Technical Specifications [optional]
|
161 |
+
|
162 |
+
### Model Architecture and Objective
|
163 |
+
|
164 |
+
[More Information Needed]
|
165 |
+
|
166 |
+
### Compute Infrastructure
|
167 |
+
|
168 |
+
[More Information Needed]
|
169 |
+
|
170 |
+
#### Hardware
|
171 |
+
|
172 |
+
[More Information Needed]
|
173 |
+
|
174 |
+
#### Software
|
175 |
+
|
176 |
+
[More Information Needed]
|
177 |
+
|
178 |
+
## Citation [optional]
|
179 |
+
|
180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
181 |
+
|
182 |
+
**BibTeX:**
|
183 |
+
|
184 |
+
[More Information Needed]
|
185 |
+
|
186 |
+
**APA:**
|
187 |
+
|
188 |
+
[More Information Needed]
|
189 |
+
|
190 |
+
## Glossary [optional]
|
191 |
+
|
192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
193 |
+
|
194 |
+
[More Information Needed]
|
195 |
+
|
196 |
+
## More Information [optional]
|
197 |
+
|
198 |
+
[More Information Needed]
|
199 |
+
|
200 |
+
## Model Card Authors [optional]
|
201 |
+
|
202 |
+
[More Information Needed]
|
203 |
+
|
204 |
+
## Model Card Contact
|
205 |
+
|
206 |
+
[More Information Needed]
|
207 |
+
### Framework versions
|
208 |
+
|
209 |
+
- PEFT 0.16.0
|
checkpoint-200/adapter_config.json
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "google/medgemma-4b-it",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 16,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0.05,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": [
|
22 |
+
"lm_head",
|
23 |
+
"embed_tokens"
|
24 |
+
],
|
25 |
+
"peft_type": "LORA",
|
26 |
+
"qalora_group_size": 16,
|
27 |
+
"r": 16,
|
28 |
+
"rank_pattern": {},
|
29 |
+
"revision": null,
|
30 |
+
"target_modules": [
|
31 |
+
"fc1",
|
32 |
+
"up_proj",
|
33 |
+
"out_proj",
|
34 |
+
"v_proj",
|
35 |
+
"k_proj",
|
36 |
+
"fc2",
|
37 |
+
"o_proj",
|
38 |
+
"gate_proj",
|
39 |
+
"q_proj",
|
40 |
+
"down_proj"
|
41 |
+
],
|
42 |
+
"task_type": "CAUSAL_LM",
|
43 |
+
"trainable_token_indices": null,
|
44 |
+
"use_dora": false,
|
45 |
+
"use_qalora": false,
|
46 |
+
"use_rslora": false
|
47 |
+
}
|
checkpoint-200/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6a8b3ce2a5874bba10ff4c5b6f91ea5fd92e062b5d3606b48e2a3af1c6a7bb9c
|
3 |
+
size 2839126480
|
checkpoint-200/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<image_soft_token>": 262144
|
3 |
+
}
|
checkpoint-200/chat_template.jinja
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{{ bos_token }}
|
2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
3 |
+
{%- if messages[0]['content'] is string -%}
|
4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
5 |
+
|
6 |
+
' -%}
|
7 |
+
{%- else -%}
|
8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
9 |
+
|
10 |
+
' -%}
|
11 |
+
{%- endif -%}
|
12 |
+
{%- set loop_messages = messages[1:] -%}
|
13 |
+
{%- else -%}
|
14 |
+
{%- set first_user_prefix = "" -%}
|
15 |
+
{%- set loop_messages = messages -%}
|
16 |
+
{%- endif -%}
|
17 |
+
{%- for message in loop_messages -%}
|
18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
20 |
+
{%- endif -%}
|
21 |
+
{%- if (message['role'] == 'assistant') -%}
|
22 |
+
{%- set role = "model" -%}
|
23 |
+
{%- else -%}
|
24 |
+
{%- set role = message['role'] -%}
|
25 |
+
{%- endif -%}
|
26 |
+
{{ '<start_of_turn>' + role + '
|
27 |
+
' + (first_user_prefix if loop.first else "") }}
|
28 |
+
{%- if message['content'] is string -%}
|
29 |
+
{{ message['content'] | trim }}
|
30 |
+
{%- elif message['content'] is iterable -%}
|
31 |
+
{%- for item in message['content'] -%}
|
32 |
+
{%- if item['type'] == 'image' -%}
|
33 |
+
{{ '<start_of_image>' }}
|
34 |
+
{%- elif item['type'] == 'text' -%}
|
35 |
+
{{ item['text'] | trim }}
|
36 |
+
{%- endif -%}
|
37 |
+
{%- endfor -%}
|
38 |
+
{%- else -%}
|
39 |
+
{{ raise_exception("Invalid content type") }}
|
40 |
+
{%- endif -%}
|
41 |
+
{{ '<end_of_turn>
|
42 |
+
' }}
|
43 |
+
{%- endfor -%}
|
44 |
+
{%- if add_generation_prompt -%}
|
45 |
+
{{'<start_of_turn>model
|
46 |
+
'}}
|
47 |
+
{%- endif -%}
|
checkpoint-200/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9a3d89c810dc492716fbb229e79871c5d22dddbe14076858718df3f821652a7e
|
3 |
+
size 5678690152
|
checkpoint-200/preprocessor_config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": null,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_pan_and_scan": null,
|
5 |
+
"do_rescale": true,
|
6 |
+
"do_resize": true,
|
7 |
+
"image_mean": [
|
8 |
+
0.5,
|
9 |
+
0.5,
|
10 |
+
0.5
|
11 |
+
],
|
12 |
+
"image_processor_type": "Gemma3ImageProcessor",
|
13 |
+
"image_seq_length": 256,
|
14 |
+
"image_std": [
|
15 |
+
0.5,
|
16 |
+
0.5,
|
17 |
+
0.5
|
18 |
+
],
|
19 |
+
"pan_and_scan_max_num_crops": null,
|
20 |
+
"pan_and_scan_min_crop_size": null,
|
21 |
+
"pan_and_scan_min_ratio_to_activate": null,
|
22 |
+
"processor_class": "Gemma3Processor",
|
23 |
+
"resample": 2,
|
24 |
+
"rescale_factor": 0.00392156862745098,
|
25 |
+
"size": {
|
26 |
+
"height": 896,
|
27 |
+
"width": 896
|
28 |
+
}
|
29 |
+
}
|
checkpoint-200/processor_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"image_seq_length": 256,
|
3 |
+
"processor_class": "Gemma3Processor"
|
4 |
+
}
|
checkpoint-200/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0388007945f3e734d32545b5f44ce4b7f49ca7e40db0df9a2520ef3bb57df646
|
3 |
+
size 14244
|
checkpoint-200/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:634885e690eb5069411239e084e0ea4bd1bdd08a174adeb32c843b72d498c89a
|
3 |
+
size 1064
|
checkpoint-200/special_tokens_map.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"boi_token": "<start_of_image>",
|
3 |
+
"bos_token": {
|
4 |
+
"content": "<bos>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"eoi_token": "<end_of_image>",
|
11 |
+
"eos_token": {
|
12 |
+
"content": "<eos>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false
|
17 |
+
},
|
18 |
+
"image_token": "<image_soft_token>",
|
19 |
+
"pad_token": {
|
20 |
+
"content": "<pad>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false
|
25 |
+
},
|
26 |
+
"unk_token": {
|
27 |
+
"content": "<unk>",
|
28 |
+
"lstrip": false,
|
29 |
+
"normalized": false,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
}
|
33 |
+
}
|
checkpoint-200/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1ebf1915455f8237564395182c49e3c685cfe3533b3d50ec6d49ce65ec43c32e
|
3 |
+
size 33384723
|
checkpoint-200/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
|
3 |
+
size 4689074
|
checkpoint-200/tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-200/trainer_state.json
ADDED
@@ -0,0 +1,414 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 0.9615384615384616,
|
6 |
+
"eval_steps": 10,
|
7 |
+
"global_step": 200,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.04807692307692308,
|
14 |
+
"grad_norm": 19.535831451416016,
|
15 |
+
"learning_rate": 0.00019800995024875625,
|
16 |
+
"loss": 15.9815,
|
17 |
+
"mean_token_accuracy": 0.6259999990463256,
|
18 |
+
"num_tokens": 49120.0,
|
19 |
+
"step": 10
|
20 |
+
},
|
21 |
+
{
|
22 |
+
"epoch": 0.04807692307692308,
|
23 |
+
"eval_loss": 1.2629932165145874,
|
24 |
+
"eval_mean_token_accuracy": 0.8946153659086961,
|
25 |
+
"eval_num_tokens": 49120.0,
|
26 |
+
"eval_runtime": 17.4778,
|
27 |
+
"eval_samples_per_second": 2.861,
|
28 |
+
"eval_steps_per_second": 0.744,
|
29 |
+
"step": 10
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.09615384615384616,
|
33 |
+
"grad_norm": 7.8091559410095215,
|
34 |
+
"learning_rate": 0.00018805970149253734,
|
35 |
+
"loss": 2.5529,
|
36 |
+
"mean_token_accuracy": 0.9347499996423722,
|
37 |
+
"num_tokens": 98240.0,
|
38 |
+
"step": 20
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.09615384615384616,
|
42 |
+
"eval_loss": 0.14167079329490662,
|
43 |
+
"eval_mean_token_accuracy": 0.9773077139487634,
|
44 |
+
"eval_num_tokens": 98240.0,
|
45 |
+
"eval_runtime": 17.4221,
|
46 |
+
"eval_samples_per_second": 2.87,
|
47 |
+
"eval_steps_per_second": 0.746,
|
48 |
+
"step": 20
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 0.14423076923076922,
|
52 |
+
"grad_norm": 3.069196939468384,
|
53 |
+
"learning_rate": 0.00017810945273631843,
|
54 |
+
"loss": 0.3788,
|
55 |
+
"mean_token_accuracy": 0.9778750196099282,
|
56 |
+
"num_tokens": 147360.0,
|
57 |
+
"step": 30
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.14423076923076922,
|
61 |
+
"eval_loss": 0.03845745697617531,
|
62 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
63 |
+
"eval_num_tokens": 147360.0,
|
64 |
+
"eval_runtime": 17.5754,
|
65 |
+
"eval_samples_per_second": 2.845,
|
66 |
+
"eval_steps_per_second": 0.74,
|
67 |
+
"step": 30
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 0.19230769230769232,
|
71 |
+
"grad_norm": 6.14934778213501,
|
72 |
+
"learning_rate": 0.0001681592039800995,
|
73 |
+
"loss": 0.1621,
|
74 |
+
"mean_token_accuracy": 0.9760000124573708,
|
75 |
+
"num_tokens": 196480.0,
|
76 |
+
"step": 40
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.19230769230769232,
|
80 |
+
"eval_loss": 0.03434291481971741,
|
81 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
82 |
+
"eval_num_tokens": 196480.0,
|
83 |
+
"eval_runtime": 17.4843,
|
84 |
+
"eval_samples_per_second": 2.86,
|
85 |
+
"eval_steps_per_second": 0.744,
|
86 |
+
"step": 40
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.2403846153846154,
|
90 |
+
"grad_norm": 7.388150691986084,
|
91 |
+
"learning_rate": 0.00015820895522388059,
|
92 |
+
"loss": 0.1563,
|
93 |
+
"mean_token_accuracy": 0.9780000209808349,
|
94 |
+
"num_tokens": 245600.0,
|
95 |
+
"step": 50
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 0.2403846153846154,
|
99 |
+
"eval_loss": 0.05149823799729347,
|
100 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
101 |
+
"eval_num_tokens": 245600.0,
|
102 |
+
"eval_runtime": 17.5208,
|
103 |
+
"eval_samples_per_second": 2.854,
|
104 |
+
"eval_steps_per_second": 0.742,
|
105 |
+
"step": 50
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.28846153846153844,
|
109 |
+
"grad_norm": 5.478137969970703,
|
110 |
+
"learning_rate": 0.00014825870646766168,
|
111 |
+
"loss": 0.177,
|
112 |
+
"mean_token_accuracy": 0.9782500207424164,
|
113 |
+
"num_tokens": 294720.0,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.28846153846153844,
|
118 |
+
"eval_loss": 0.03306853771209717,
|
119 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
120 |
+
"eval_num_tokens": 294720.0,
|
121 |
+
"eval_runtime": 17.4723,
|
122 |
+
"eval_samples_per_second": 2.862,
|
123 |
+
"eval_steps_per_second": 0.744,
|
124 |
+
"step": 60
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 0.33653846153846156,
|
128 |
+
"grad_norm": 4.636706352233887,
|
129 |
+
"learning_rate": 0.0001383084577114428,
|
130 |
+
"loss": 0.1614,
|
131 |
+
"mean_token_accuracy": 0.9776250213384629,
|
132 |
+
"num_tokens": 343840.0,
|
133 |
+
"step": 70
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 0.33653846153846156,
|
137 |
+
"eval_loss": 0.041035111993551254,
|
138 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
139 |
+
"eval_num_tokens": 343840.0,
|
140 |
+
"eval_runtime": 17.567,
|
141 |
+
"eval_samples_per_second": 2.846,
|
142 |
+
"eval_steps_per_second": 0.74,
|
143 |
+
"step": 70
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.38461538461538464,
|
147 |
+
"grad_norm": 1.8013979196548462,
|
148 |
+
"learning_rate": 0.00012835820895522389,
|
149 |
+
"loss": 0.1449,
|
150 |
+
"mean_token_accuracy": 0.9785000205039978,
|
151 |
+
"num_tokens": 392960.0,
|
152 |
+
"step": 80
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.38461538461538464,
|
156 |
+
"eval_loss": 0.033909473568201065,
|
157 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
158 |
+
"eval_num_tokens": 392960.0,
|
159 |
+
"eval_runtime": 17.4599,
|
160 |
+
"eval_samples_per_second": 2.864,
|
161 |
+
"eval_steps_per_second": 0.745,
|
162 |
+
"step": 80
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 0.4326923076923077,
|
166 |
+
"grad_norm": 0.7925957441329956,
|
167 |
+
"learning_rate": 0.00011840796019900498,
|
168 |
+
"loss": 0.1343,
|
169 |
+
"mean_token_accuracy": 0.979250019788742,
|
170 |
+
"num_tokens": 442080.0,
|
171 |
+
"step": 90
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.4326923076923077,
|
175 |
+
"eval_loss": 0.03350621089339256,
|
176 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
177 |
+
"eval_num_tokens": 442080.0,
|
178 |
+
"eval_runtime": 17.5312,
|
179 |
+
"eval_samples_per_second": 2.852,
|
180 |
+
"eval_steps_per_second": 0.742,
|
181 |
+
"step": 90
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 0.4807692307692308,
|
185 |
+
"grad_norm": 3.3666160106658936,
|
186 |
+
"learning_rate": 0.00010845771144278607,
|
187 |
+
"loss": 0.1484,
|
188 |
+
"mean_token_accuracy": 0.9778750211000442,
|
189 |
+
"num_tokens": 491200.0,
|
190 |
+
"step": 100
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 0.4807692307692308,
|
194 |
+
"eval_loss": 0.03422728180885315,
|
195 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
196 |
+
"eval_num_tokens": 491200.0,
|
197 |
+
"eval_runtime": 17.4416,
|
198 |
+
"eval_samples_per_second": 2.867,
|
199 |
+
"eval_steps_per_second": 0.745,
|
200 |
+
"step": 100
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.5288461538461539,
|
204 |
+
"grad_norm": 1.1528574228286743,
|
205 |
+
"learning_rate": 9.850746268656717e-05,
|
206 |
+
"loss": 0.1372,
|
207 |
+
"mean_token_accuracy": 0.9783750206232071,
|
208 |
+
"num_tokens": 540320.0,
|
209 |
+
"step": 110
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.5288461538461539,
|
213 |
+
"eval_loss": 0.03267410025000572,
|
214 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
215 |
+
"eval_num_tokens": 540320.0,
|
216 |
+
"eval_runtime": 17.6379,
|
217 |
+
"eval_samples_per_second": 2.835,
|
218 |
+
"eval_steps_per_second": 0.737,
|
219 |
+
"step": 110
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.5769230769230769,
|
223 |
+
"grad_norm": 1.7770888805389404,
|
224 |
+
"learning_rate": 8.855721393034826e-05,
|
225 |
+
"loss": 0.1499,
|
226 |
+
"mean_token_accuracy": 0.9773750215768814,
|
227 |
+
"num_tokens": 589440.0,
|
228 |
+
"step": 120
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.5769230769230769,
|
232 |
+
"eval_loss": 0.03415742516517639,
|
233 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
234 |
+
"eval_num_tokens": 589440.0,
|
235 |
+
"eval_runtime": 17.4268,
|
236 |
+
"eval_samples_per_second": 2.869,
|
237 |
+
"eval_steps_per_second": 0.746,
|
238 |
+
"step": 120
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 0.625,
|
242 |
+
"grad_norm": 0.9424811601638794,
|
243 |
+
"learning_rate": 7.860696517412935e-05,
|
244 |
+
"loss": 0.1354,
|
245 |
+
"mean_token_accuracy": 0.9777500197291374,
|
246 |
+
"num_tokens": 638560.0,
|
247 |
+
"step": 130
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.625,
|
251 |
+
"eval_loss": 0.03265358507633209,
|
252 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
253 |
+
"eval_num_tokens": 638560.0,
|
254 |
+
"eval_runtime": 17.6065,
|
255 |
+
"eval_samples_per_second": 2.84,
|
256 |
+
"eval_steps_per_second": 0.738,
|
257 |
+
"step": 130
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.6730769230769231,
|
261 |
+
"grad_norm": 2.114447593688965,
|
262 |
+
"learning_rate": 6.865671641791044e-05,
|
263 |
+
"loss": 0.1343,
|
264 |
+
"mean_token_accuracy": 0.97887502014637,
|
265 |
+
"num_tokens": 687680.0,
|
266 |
+
"step": 140
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.6730769230769231,
|
270 |
+
"eval_loss": 0.033645644783973694,
|
271 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
272 |
+
"eval_num_tokens": 687680.0,
|
273 |
+
"eval_runtime": 17.4491,
|
274 |
+
"eval_samples_per_second": 2.865,
|
275 |
+
"eval_steps_per_second": 0.745,
|
276 |
+
"step": 140
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.7211538461538461,
|
280 |
+
"grad_norm": 1.5852668285369873,
|
281 |
+
"learning_rate": 5.870646766169154e-05,
|
282 |
+
"loss": 0.142,
|
283 |
+
"mean_token_accuracy": 0.9767500206828117,
|
284 |
+
"num_tokens": 736800.0,
|
285 |
+
"step": 150
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.7211538461538461,
|
289 |
+
"eval_loss": 0.03248896449804306,
|
290 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
291 |
+
"eval_num_tokens": 736800.0,
|
292 |
+
"eval_runtime": 17.6031,
|
293 |
+
"eval_samples_per_second": 2.84,
|
294 |
+
"eval_steps_per_second": 0.739,
|
295 |
+
"step": 150
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.7692307692307693,
|
299 |
+
"grad_norm": 0.6951805949211121,
|
300 |
+
"learning_rate": 4.875621890547264e-05,
|
301 |
+
"loss": 0.1486,
|
302 |
+
"mean_token_accuracy": 0.9771250188350677,
|
303 |
+
"num_tokens": 785920.0,
|
304 |
+
"step": 160
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.7692307692307693,
|
308 |
+
"eval_loss": 0.033385761082172394,
|
309 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
310 |
+
"eval_num_tokens": 785920.0,
|
311 |
+
"eval_runtime": 17.4166,
|
312 |
+
"eval_samples_per_second": 2.871,
|
313 |
+
"eval_steps_per_second": 0.746,
|
314 |
+
"step": 160
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.8173076923076923,
|
318 |
+
"grad_norm": 0.43215373158454895,
|
319 |
+
"learning_rate": 3.8805970149253736e-05,
|
320 |
+
"loss": 0.1278,
|
321 |
+
"mean_token_accuracy": 0.9788750171661377,
|
322 |
+
"num_tokens": 835040.0,
|
323 |
+
"step": 170
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 0.8173076923076923,
|
327 |
+
"eval_loss": 0.032722774893045425,
|
328 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
329 |
+
"eval_num_tokens": 835040.0,
|
330 |
+
"eval_runtime": 17.5568,
|
331 |
+
"eval_samples_per_second": 2.848,
|
332 |
+
"eval_steps_per_second": 0.74,
|
333 |
+
"step": 170
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.8653846153846154,
|
337 |
+
"grad_norm": 0.8934823870658875,
|
338 |
+
"learning_rate": 2.885572139303483e-05,
|
339 |
+
"loss": 0.137,
|
340 |
+
"mean_token_accuracy": 0.9796250179409981,
|
341 |
+
"num_tokens": 884160.0,
|
342 |
+
"step": 180
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 0.8653846153846154,
|
346 |
+
"eval_loss": 0.03241568058729172,
|
347 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
348 |
+
"eval_num_tokens": 884160.0,
|
349 |
+
"eval_runtime": 17.4308,
|
350 |
+
"eval_samples_per_second": 2.868,
|
351 |
+
"eval_steps_per_second": 0.746,
|
352 |
+
"step": 180
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.9134615384615384,
|
356 |
+
"grad_norm": 0.7338240146636963,
|
357 |
+
"learning_rate": 1.890547263681592e-05,
|
358 |
+
"loss": 0.1268,
|
359 |
+
"mean_token_accuracy": 0.9800000175833702,
|
360 |
+
"num_tokens": 933280.0,
|
361 |
+
"step": 190
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.9134615384615384,
|
365 |
+
"eval_loss": 0.03231397643685341,
|
366 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
367 |
+
"eval_num_tokens": 933280.0,
|
368 |
+
"eval_runtime": 17.5989,
|
369 |
+
"eval_samples_per_second": 2.841,
|
370 |
+
"eval_steps_per_second": 0.739,
|
371 |
+
"step": 190
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 0.9615384615384616,
|
375 |
+
"grad_norm": 0.2547163665294647,
|
376 |
+
"learning_rate": 8.955223880597016e-06,
|
377 |
+
"loss": 0.1333,
|
378 |
+
"mean_token_accuracy": 0.9778750196099282,
|
379 |
+
"num_tokens": 982400.0,
|
380 |
+
"step": 200
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.9615384615384616,
|
384 |
+
"eval_loss": 0.03236151114106178,
|
385 |
+
"eval_mean_token_accuracy": 0.9788461740200336,
|
386 |
+
"eval_num_tokens": 982400.0,
|
387 |
+
"eval_runtime": 17.4212,
|
388 |
+
"eval_samples_per_second": 2.87,
|
389 |
+
"eval_steps_per_second": 0.746,
|
390 |
+
"step": 200
|
391 |
+
}
|
392 |
+
],
|
393 |
+
"logging_steps": 10,
|
394 |
+
"max_steps": 208,
|
395 |
+
"num_input_tokens_seen": 0,
|
396 |
+
"num_train_epochs": 1,
|
397 |
+
"save_steps": 20,
|
398 |
+
"stateful_callbacks": {
|
399 |
+
"TrainerControl": {
|
400 |
+
"args": {
|
401 |
+
"should_epoch_stop": false,
|
402 |
+
"should_evaluate": false,
|
403 |
+
"should_log": false,
|
404 |
+
"should_save": true,
|
405 |
+
"should_training_stop": false
|
406 |
+
},
|
407 |
+
"attributes": {}
|
408 |
+
}
|
409 |
+
},
|
410 |
+
"total_flos": 2.55454965562368e+16,
|
411 |
+
"train_batch_size": 4,
|
412 |
+
"trial_name": null,
|
413 |
+
"trial_params": null
|
414 |
+
}
|
checkpoint-200/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:09a9baff00283695ce70ca75d7d996c90cc5734afa7d9ed3f9a6113fde47b709
|
3 |
+
size 5880
|