jmz365 commited on
Commit
d3f364e
·
verified ·
1 Parent(s): 6e2f014

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +189 -28
  2. adapter_config.json +6 -6
  3. adapter_model.safetensors +2 -2
  4. added_tokens.json +5 -0
  5. checkpoint-1200/README.md +202 -0
  6. checkpoint-1200/adapter_config.json +34 -0
  7. checkpoint-1200/adapter_model.safetensors +3 -0
  8. checkpoint-1200/added_tokens.json +5 -0
  9. checkpoint-1200/merges.txt +0 -0
  10. checkpoint-1200/optimizer.pt +3 -0
  11. checkpoint-1200/rng_state.pth +3 -0
  12. checkpoint-1200/scaler.pt +3 -0
  13. checkpoint-1200/scheduler.pt +3 -0
  14. checkpoint-1200/special_tokens_map.json +47 -0
  15. checkpoint-1200/tokenizer.json +0 -0
  16. checkpoint-1200/tokenizer_config.json +53 -0
  17. checkpoint-1200/trainer_state.json +202 -0
  18. checkpoint-1200/training_args.bin +3 -0
  19. checkpoint-1200/vocab.json +0 -0
  20. checkpoint-1400/README.md +202 -0
  21. checkpoint-1400/adapter_config.json +34 -0
  22. checkpoint-1400/adapter_model.safetensors +3 -0
  23. checkpoint-1400/added_tokens.json +5 -0
  24. checkpoint-1400/merges.txt +0 -0
  25. checkpoint-1400/optimizer.pt +3 -0
  26. checkpoint-1400/rng_state.pth +3 -0
  27. checkpoint-1400/scaler.pt +3 -0
  28. checkpoint-1400/scheduler.pt +3 -0
  29. checkpoint-1400/special_tokens_map.json +47 -0
  30. checkpoint-1400/tokenizer.json +0 -0
  31. checkpoint-1400/tokenizer_config.json +53 -0
  32. checkpoint-1400/trainer_state.json +230 -0
  33. checkpoint-1400/training_args.bin +3 -0
  34. checkpoint-1400/vocab.json +0 -0
  35. checkpoint-1550/README.md +202 -0
  36. checkpoint-1550/adapter_config.json +34 -0
  37. checkpoint-1550/adapter_model.safetensors +3 -0
  38. checkpoint-1550/added_tokens.json +5 -0
  39. checkpoint-1550/merges.txt +0 -0
  40. checkpoint-1550/optimizer.pt +3 -0
  41. checkpoint-1550/rng_state.pth +3 -0
  42. checkpoint-1550/scaler.pt +3 -0
  43. checkpoint-1550/scheduler.pt +3 -0
  44. checkpoint-1550/special_tokens_map.json +47 -0
  45. checkpoint-1550/tokenizer.json +0 -0
  46. checkpoint-1550/tokenizer_config.json +53 -0
  47. checkpoint-1550/trainer_state.json +251 -0
  48. checkpoint-1550/training_args.bin +3 -0
  49. checkpoint-1550/vocab.json +0 -0
  50. runs/Apr21_22-46-00_a83a3e663711/events.out.tfevents.1745275563.a83a3e663711.11146.0 +3 -0
README.md CHANGED
@@ -1,41 +1,202 @@
1
  ---
2
- language: en
3
- license: mit
4
- tags:
5
- - mental-health
6
- - chatbot
7
- - lora
8
- pipeline_tag: text-generation
9
- base_model: EleutherAI/gpt-neo-1.3B
10
  ---
11
 
12
- # LumiCare Mental Health Chatbot
 
 
 
13
 
14
- A fine-tuned mental health assistant chatbot that provides supportive responses for users experiencing mental health challenges.
15
 
16
  ## Model Details
17
 
18
- - **Base Model**: EleutherAI/gpt-neo-1.3B
19
- - **Type**: LoRA fine-tuned model
20
- - **Training Data**: Conversational data focused on mental health support
21
- - **Purpose**: To provide empathetic and helpful responses to mental health inquiries
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22
 
23
- ## Usage
24
 
25
- Example usage:
26
 
27
- ```python
28
- from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
29
 
30
- model_name = "jmz365/lumicare-lora"
31
- tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-1.3B")
32
- model = AutoModelForCausalLM.from_pretrained(
33
- "EleutherAI/gpt-neo-1.3B",
34
- device_map="auto"
35
- ).from_pretrained(model_name, is_trainable=False)
36
 
37
- pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
38
 
39
- response = pipe("I've been feeling really anxious lately and I don't know what to do.",
40
- max_new_tokens=100)
41
- print(response[0]["generated_text"])
 
1
  ---
2
+ base_model: microsoft/DialoGPT-small
3
+ library_name: peft
 
 
 
 
 
 
4
  ---
5
 
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
 
 
11
 
12
  ## Model Details
13
 
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- 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. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ 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).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
 
191
+ [More Information Needed]
192
 
193
+ ## Model Card Authors [optional]
194
 
195
+ [More Information Needed]
 
196
 
197
+ ## Model Card Contact
 
 
 
 
 
198
 
199
+ [More Information Needed]
200
+ ### Framework versions
201
 
202
+ - PEFT 0.15.2
 
 
adapter_config.json CHANGED
@@ -1,11 +1,12 @@
1
  {
2
  "alpha_pattern": {},
3
  "auto_mapping": null,
4
- "base_model_name_or_path": "EleutherAI/gpt-neo-1.3B",
5
  "bias": "none",
 
6
  "eva_config": null,
7
  "exclude_modules": null,
8
- "fan_in_fan_out": false,
9
  "inference_mode": true,
10
  "init_lora_weights": true,
11
  "layer_replication": null,
@@ -14,7 +15,7 @@
14
  "loftq_config": {},
15
  "lora_alpha": 32,
16
  "lora_bias": false,
17
- "lora_dropout": 0.1,
18
  "megatron_config": null,
19
  "megatron_core": "megatron.core",
20
  "modules_to_save": null,
@@ -23,12 +24,11 @@
23
  "rank_pattern": {},
24
  "revision": null,
25
  "target_modules": [
26
- "c_fc",
27
- "v_proj",
28
- "q_proj",
29
  "c_proj"
30
  ],
31
  "task_type": "CAUSAL_LM",
 
32
  "use_dora": false,
33
  "use_rslora": false
34
  }
 
1
  {
2
  "alpha_pattern": {},
3
  "auto_mapping": null,
4
+ "base_model_name_or_path": "microsoft/DialoGPT-small",
5
  "bias": "none",
6
+ "corda_config": null,
7
  "eva_config": null,
8
  "exclude_modules": null,
9
+ "fan_in_fan_out": true,
10
  "inference_mode": true,
11
  "init_lora_weights": true,
12
  "layer_replication": null,
 
15
  "loftq_config": {},
16
  "lora_alpha": 32,
17
  "lora_bias": false,
18
+ "lora_dropout": 0.05,
19
  "megatron_config": null,
20
  "megatron_core": "megatron.core",
21
  "modules_to_save": null,
 
24
  "rank_pattern": {},
25
  "revision": null,
26
  "target_modules": [
27
+ "c_attn",
 
 
28
  "c_proj"
29
  ],
30
  "task_type": "CAUSAL_LM",
31
+ "trainable_token_indices": null,
32
  "use_dora": false,
33
  "use_rslora": false
34
  }
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0b09634b8699410c23fd0c64cc8f2a200dec9a1135d400e3c1e917a4c2535a94
3
- size 44065968
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eeee652b1db45550368838018e48c2840c4fb4d3fe56abdbe9826b851ddcf642
3
+ size 315295208
added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|assistant|>": 50258,
3
+ "<|end|>": 50259,
4
+ "<|user|>": 50257
5
+ }
checkpoint-1200/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: microsoft/DialoGPT-small
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- 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. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ 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).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.15.2
checkpoint-1200/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "microsoft/DialoGPT-small",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": true,
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": 32,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.05,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 16,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "c_attn",
28
+ "c_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "trainable_token_indices": null,
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-1200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cc26a899c248f0d3546361b2e91d16af00f431c5c16757252bfbfcb311e5e3f
3
+ size 315295208
checkpoint-1200/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|assistant|>": 50258,
3
+ "<|end|>": 50259,
4
+ "<|user|>": 50257
5
+ }
checkpoint-1200/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ba2811bafc62437d73285fc181a982662aeb413e339dcda0581cbc345fea465
3
+ size 13036922
checkpoint-1200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47097ff42e1cd0a21edcc3939998bc0dc62e0aadaeddd58ba850015411efb2b6
3
+ size 14244
checkpoint-1200/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:942cfd7aded7d16363d1ae1a2911c01ef4e25f3c70ed059c88f1845d9b6c24dc
3
+ size 988
checkpoint-1200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9bbabc3123916f23ea40379979627ddb96bec2383404cbf18c52fca49c331d90
3
+ size 1064
checkpoint-1200/special_tokens_map.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ {
4
+ "content": "<|user|>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ {
11
+ "content": "<|assistant|>",
12
+ "lstrip": false,
13
+ "normalized": false,
14
+ "rstrip": false,
15
+ "single_word": false
16
+ },
17
+ {
18
+ "content": "<|end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ ],
25
+ "bos_token": {
26
+ "content": "<|endoftext|>",
27
+ "lstrip": false,
28
+ "normalized": true,
29
+ "rstrip": false,
30
+ "single_word": false
31
+ },
32
+ "eos_token": {
33
+ "content": "<|endoftext|>",
34
+ "lstrip": false,
35
+ "normalized": true,
36
+ "rstrip": false,
37
+ "single_word": false
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "unk_token": {
41
+ "content": "<|endoftext|>",
42
+ "lstrip": false,
43
+ "normalized": true,
44
+ "rstrip": false,
45
+ "single_word": false
46
+ }
47
+ }
checkpoint-1200/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1200/tokenizer_config.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "50256": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "50257": {
14
+ "content": "<|user|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "50258": {
22
+ "content": "<|assistant|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "50259": {
30
+ "content": "<|end|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ }
37
+ },
38
+ "additional_special_tokens": [
39
+ "<|user|>",
40
+ "<|assistant|>",
41
+ "<|end|>"
42
+ ],
43
+ "bos_token": "<|endoftext|>",
44
+ "chat_template": "{% for message in messages %}{{ message.content }}{{ eos_token }}{% endfor %}",
45
+ "clean_up_tokenization_spaces": true,
46
+ "eos_token": "<|endoftext|>",
47
+ "errors": "replace",
48
+ "extra_special_tokens": {},
49
+ "model_max_length": 1024,
50
+ "pad_token": "<|endoftext|>",
51
+ "tokenizer_class": "GPT2Tokenizer",
52
+ "unk_token": "<|endoftext|>"
53
+ }
checkpoint-1200/trainer_state.json ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 7.737770649558941,
6
+ "eval_steps": 500,
7
+ "global_step": 1200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.32076984763432237,
14
+ "grad_norm": 1.1961698532104492,
15
+ "learning_rate": 0.0001936774193548387,
16
+ "loss": 7.3524,
17
+ "step": 50
18
+ },
19
+ {
20
+ "epoch": 0.6415396952686447,
21
+ "grad_norm": 1.2789437770843506,
22
+ "learning_rate": 0.0001872258064516129,
23
+ "loss": 3.6807,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.9623095429029671,
28
+ "grad_norm": 1.7264803647994995,
29
+ "learning_rate": 0.00018077419354838712,
30
+ "loss": 2.6374,
31
+ "step": 150
32
+ },
33
+ {
34
+ "epoch": 1.28869286287089,
35
+ "grad_norm": 2.0422234535217285,
36
+ "learning_rate": 0.0001743225806451613,
37
+ "loss": 2.2389,
38
+ "step": 200
39
+ },
40
+ {
41
+ "epoch": 1.6094627105052126,
42
+ "grad_norm": 1.3594920635223389,
43
+ "learning_rate": 0.0001678709677419355,
44
+ "loss": 1.9477,
45
+ "step": 250
46
+ },
47
+ {
48
+ "epoch": 1.9302325581395348,
49
+ "grad_norm": 1.3383938074111938,
50
+ "learning_rate": 0.00016141935483870968,
51
+ "loss": 1.798,
52
+ "step": 300
53
+ },
54
+ {
55
+ "epoch": 2.256615878107458,
56
+ "grad_norm": 1.3180880546569824,
57
+ "learning_rate": 0.00015496774193548386,
58
+ "loss": 1.7137,
59
+ "step": 350
60
+ },
61
+ {
62
+ "epoch": 2.57738572574178,
63
+ "grad_norm": 1.5831503868103027,
64
+ "learning_rate": 0.00014851612903225806,
65
+ "loss": 1.6172,
66
+ "step": 400
67
+ },
68
+ {
69
+ "epoch": 2.8981555733761026,
70
+ "grad_norm": 1.1111356019973755,
71
+ "learning_rate": 0.00014206451612903227,
72
+ "loss": 1.5438,
73
+ "step": 450
74
+ },
75
+ {
76
+ "epoch": 3.2245388933440258,
77
+ "grad_norm": 1.4079397916793823,
78
+ "learning_rate": 0.00013561290322580647,
79
+ "loss": 1.5296,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 3.545308740978348,
84
+ "grad_norm": 1.2908076047897339,
85
+ "learning_rate": 0.00012916129032258065,
86
+ "loss": 1.4594,
87
+ "step": 550
88
+ },
89
+ {
90
+ "epoch": 3.8660785886126705,
91
+ "grad_norm": 0.8618972301483154,
92
+ "learning_rate": 0.00012270967741935483,
93
+ "loss": 1.432,
94
+ "step": 600
95
+ },
96
+ {
97
+ "epoch": 4.192461908580594,
98
+ "grad_norm": 1.1210609674453735,
99
+ "learning_rate": 0.00011625806451612904,
100
+ "loss": 1.4487,
101
+ "step": 650
102
+ },
103
+ {
104
+ "epoch": 4.513231756214916,
105
+ "grad_norm": 0.9073360562324524,
106
+ "learning_rate": 0.00010980645161290324,
107
+ "loss": 1.3993,
108
+ "step": 700
109
+ },
110
+ {
111
+ "epoch": 4.834001603849238,
112
+ "grad_norm": 0.808058500289917,
113
+ "learning_rate": 0.00010335483870967742,
114
+ "loss": 1.3932,
115
+ "step": 750
116
+ },
117
+ {
118
+ "epoch": 5.160384923817161,
119
+ "grad_norm": 0.9300913214683533,
120
+ "learning_rate": 9.690322580645161e-05,
121
+ "loss": 1.4074,
122
+ "step": 800
123
+ },
124
+ {
125
+ "epoch": 5.481154771451483,
126
+ "grad_norm": 0.867842435836792,
127
+ "learning_rate": 9.045161290322582e-05,
128
+ "loss": 1.3624,
129
+ "step": 850
130
+ },
131
+ {
132
+ "epoch": 5.801924619085806,
133
+ "grad_norm": 0.7427595257759094,
134
+ "learning_rate": 8.4e-05,
135
+ "loss": 1.3552,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 6.1283079390537285,
140
+ "grad_norm": 0.8087818026542664,
141
+ "learning_rate": 7.75483870967742e-05,
142
+ "loss": 1.3681,
143
+ "step": 950
144
+ },
145
+ {
146
+ "epoch": 6.4490777866880515,
147
+ "grad_norm": 0.9388403296470642,
148
+ "learning_rate": 7.109677419354839e-05,
149
+ "loss": 1.3385,
150
+ "step": 1000
151
+ },
152
+ {
153
+ "epoch": 6.769847634322374,
154
+ "grad_norm": 0.7225080728530884,
155
+ "learning_rate": 6.464516129032258e-05,
156
+ "loss": 1.3429,
157
+ "step": 1050
158
+ },
159
+ {
160
+ "epoch": 7.096230954290297,
161
+ "grad_norm": 0.9824959635734558,
162
+ "learning_rate": 5.819354838709678e-05,
163
+ "loss": 1.3761,
164
+ "step": 1100
165
+ },
166
+ {
167
+ "epoch": 7.417000801924619,
168
+ "grad_norm": 0.7515531778335571,
169
+ "learning_rate": 5.1741935483870975e-05,
170
+ "loss": 1.3335,
171
+ "step": 1150
172
+ },
173
+ {
174
+ "epoch": 7.737770649558941,
175
+ "grad_norm": 0.8200371265411377,
176
+ "learning_rate": 4.529032258064516e-05,
177
+ "loss": 1.3225,
178
+ "step": 1200
179
+ }
180
+ ],
181
+ "logging_steps": 50,
182
+ "max_steps": 1550,
183
+ "num_input_tokens_seen": 0,
184
+ "num_train_epochs": 10,
185
+ "save_steps": 200,
186
+ "stateful_callbacks": {
187
+ "TrainerControl": {
188
+ "args": {
189
+ "should_epoch_stop": false,
190
+ "should_evaluate": false,
191
+ "should_log": false,
192
+ "should_save": true,
193
+ "should_training_stop": false
194
+ },
195
+ "attributes": {}
196
+ }
197
+ },
198
+ "total_flos": 1.0239866214285312e+16,
199
+ "train_batch_size": 4,
200
+ "trial_name": null,
201
+ "trial_params": null
202
+ }
checkpoint-1200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3d0fe73ea3013ed5e91b39f19c03a4ff993193c6e29681c5c432474c127b5a3
3
+ size 5368
checkpoint-1200/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1400/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: microsoft/DialoGPT-small
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- 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. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ 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).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.15.2
checkpoint-1400/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "microsoft/DialoGPT-small",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": true,
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": 32,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.05,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 16,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "c_attn",
28
+ "c_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "trainable_token_indices": null,
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-1400/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db4905c0156fa8c527c8163d37801a28614ca1e5900181a5e2259c7cc1d9e86c
3
+ size 315295208
checkpoint-1400/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|assistant|>": 50258,
3
+ "<|end|>": 50259,
4
+ "<|user|>": 50257
5
+ }
checkpoint-1400/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1400/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2e16d130122968a36af2448e229a662a3923d4e4a5cf94b35cd168fab489c63a
3
+ size 13036922
checkpoint-1400/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:208f3e1356a8686c183954c8fe66ac14f435dc7cb388e293f0c446d93795a84e
3
+ size 14244
checkpoint-1400/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:baba31a5e5063037a5c811de9cb04bc62c6c5f0f5fe6720b7d681afe6500d4c1
3
+ size 988
checkpoint-1400/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9740724af32992f785f55e9c75ca304b1d9be8219070b5ba4955eab0c2e663a9
3
+ size 1064
checkpoint-1400/special_tokens_map.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ {
4
+ "content": "<|user|>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ {
11
+ "content": "<|assistant|>",
12
+ "lstrip": false,
13
+ "normalized": false,
14
+ "rstrip": false,
15
+ "single_word": false
16
+ },
17
+ {
18
+ "content": "<|end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ ],
25
+ "bos_token": {
26
+ "content": "<|endoftext|>",
27
+ "lstrip": false,
28
+ "normalized": true,
29
+ "rstrip": false,
30
+ "single_word": false
31
+ },
32
+ "eos_token": {
33
+ "content": "<|endoftext|>",
34
+ "lstrip": false,
35
+ "normalized": true,
36
+ "rstrip": false,
37
+ "single_word": false
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "unk_token": {
41
+ "content": "<|endoftext|>",
42
+ "lstrip": false,
43
+ "normalized": true,
44
+ "rstrip": false,
45
+ "single_word": false
46
+ }
47
+ }
checkpoint-1400/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1400/tokenizer_config.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "50256": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "50257": {
14
+ "content": "<|user|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "50258": {
22
+ "content": "<|assistant|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "50259": {
30
+ "content": "<|end|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ }
37
+ },
38
+ "additional_special_tokens": [
39
+ "<|user|>",
40
+ "<|assistant|>",
41
+ "<|end|>"
42
+ ],
43
+ "bos_token": "<|endoftext|>",
44
+ "chat_template": "{% for message in messages %}{{ message.content }}{{ eos_token }}{% endfor %}",
45
+ "clean_up_tokenization_spaces": true,
46
+ "eos_token": "<|endoftext|>",
47
+ "errors": "replace",
48
+ "extra_special_tokens": {},
49
+ "model_max_length": 1024,
50
+ "pad_token": "<|endoftext|>",
51
+ "tokenizer_class": "GPT2Tokenizer",
52
+ "unk_token": "<|endoftext|>"
53
+ }
checkpoint-1400/trainer_state.json ADDED
@@ -0,0 +1,230 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 9.032076984763432,
6
+ "eval_steps": 500,
7
+ "global_step": 1400,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.32076984763432237,
14
+ "grad_norm": 1.1961698532104492,
15
+ "learning_rate": 0.0001936774193548387,
16
+ "loss": 7.3524,
17
+ "step": 50
18
+ },
19
+ {
20
+ "epoch": 0.6415396952686447,
21
+ "grad_norm": 1.2789437770843506,
22
+ "learning_rate": 0.0001872258064516129,
23
+ "loss": 3.6807,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.9623095429029671,
28
+ "grad_norm": 1.7264803647994995,
29
+ "learning_rate": 0.00018077419354838712,
30
+ "loss": 2.6374,
31
+ "step": 150
32
+ },
33
+ {
34
+ "epoch": 1.28869286287089,
35
+ "grad_norm": 2.0422234535217285,
36
+ "learning_rate": 0.0001743225806451613,
37
+ "loss": 2.2389,
38
+ "step": 200
39
+ },
40
+ {
41
+ "epoch": 1.6094627105052126,
42
+ "grad_norm": 1.3594920635223389,
43
+ "learning_rate": 0.0001678709677419355,
44
+ "loss": 1.9477,
45
+ "step": 250
46
+ },
47
+ {
48
+ "epoch": 1.9302325581395348,
49
+ "grad_norm": 1.3383938074111938,
50
+ "learning_rate": 0.00016141935483870968,
51
+ "loss": 1.798,
52
+ "step": 300
53
+ },
54
+ {
55
+ "epoch": 2.256615878107458,
56
+ "grad_norm": 1.3180880546569824,
57
+ "learning_rate": 0.00015496774193548386,
58
+ "loss": 1.7137,
59
+ "step": 350
60
+ },
61
+ {
62
+ "epoch": 2.57738572574178,
63
+ "grad_norm": 1.5831503868103027,
64
+ "learning_rate": 0.00014851612903225806,
65
+ "loss": 1.6172,
66
+ "step": 400
67
+ },
68
+ {
69
+ "epoch": 2.8981555733761026,
70
+ "grad_norm": 1.1111356019973755,
71
+ "learning_rate": 0.00014206451612903227,
72
+ "loss": 1.5438,
73
+ "step": 450
74
+ },
75
+ {
76
+ "epoch": 3.2245388933440258,
77
+ "grad_norm": 1.4079397916793823,
78
+ "learning_rate": 0.00013561290322580647,
79
+ "loss": 1.5296,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 3.545308740978348,
84
+ "grad_norm": 1.2908076047897339,
85
+ "learning_rate": 0.00012916129032258065,
86
+ "loss": 1.4594,
87
+ "step": 550
88
+ },
89
+ {
90
+ "epoch": 3.8660785886126705,
91
+ "grad_norm": 0.8618972301483154,
92
+ "learning_rate": 0.00012270967741935483,
93
+ "loss": 1.432,
94
+ "step": 600
95
+ },
96
+ {
97
+ "epoch": 4.192461908580594,
98
+ "grad_norm": 1.1210609674453735,
99
+ "learning_rate": 0.00011625806451612904,
100
+ "loss": 1.4487,
101
+ "step": 650
102
+ },
103
+ {
104
+ "epoch": 4.513231756214916,
105
+ "grad_norm": 0.9073360562324524,
106
+ "learning_rate": 0.00010980645161290324,
107
+ "loss": 1.3993,
108
+ "step": 700
109
+ },
110
+ {
111
+ "epoch": 4.834001603849238,
112
+ "grad_norm": 0.808058500289917,
113
+ "learning_rate": 0.00010335483870967742,
114
+ "loss": 1.3932,
115
+ "step": 750
116
+ },
117
+ {
118
+ "epoch": 5.160384923817161,
119
+ "grad_norm": 0.9300913214683533,
120
+ "learning_rate": 9.690322580645161e-05,
121
+ "loss": 1.4074,
122
+ "step": 800
123
+ },
124
+ {
125
+ "epoch": 5.481154771451483,
126
+ "grad_norm": 0.867842435836792,
127
+ "learning_rate": 9.045161290322582e-05,
128
+ "loss": 1.3624,
129
+ "step": 850
130
+ },
131
+ {
132
+ "epoch": 5.801924619085806,
133
+ "grad_norm": 0.7427595257759094,
134
+ "learning_rate": 8.4e-05,
135
+ "loss": 1.3552,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 6.1283079390537285,
140
+ "grad_norm": 0.8087818026542664,
141
+ "learning_rate": 7.75483870967742e-05,
142
+ "loss": 1.3681,
143
+ "step": 950
144
+ },
145
+ {
146
+ "epoch": 6.4490777866880515,
147
+ "grad_norm": 0.9388403296470642,
148
+ "learning_rate": 7.109677419354839e-05,
149
+ "loss": 1.3385,
150
+ "step": 1000
151
+ },
152
+ {
153
+ "epoch": 6.769847634322374,
154
+ "grad_norm": 0.7225080728530884,
155
+ "learning_rate": 6.464516129032258e-05,
156
+ "loss": 1.3429,
157
+ "step": 1050
158
+ },
159
+ {
160
+ "epoch": 7.096230954290297,
161
+ "grad_norm": 0.9824959635734558,
162
+ "learning_rate": 5.819354838709678e-05,
163
+ "loss": 1.3761,
164
+ "step": 1100
165
+ },
166
+ {
167
+ "epoch": 7.417000801924619,
168
+ "grad_norm": 0.7515531778335571,
169
+ "learning_rate": 5.1741935483870975e-05,
170
+ "loss": 1.3335,
171
+ "step": 1150
172
+ },
173
+ {
174
+ "epoch": 7.737770649558941,
175
+ "grad_norm": 0.8200371265411377,
176
+ "learning_rate": 4.529032258064516e-05,
177
+ "loss": 1.3225,
178
+ "step": 1200
179
+ },
180
+ {
181
+ "epoch": 8.064153969526865,
182
+ "grad_norm": 0.8314862847328186,
183
+ "learning_rate": 3.883870967741935e-05,
184
+ "loss": 1.3499,
185
+ "step": 1250
186
+ },
187
+ {
188
+ "epoch": 8.384923817161187,
189
+ "grad_norm": 0.6968998312950134,
190
+ "learning_rate": 3.238709677419355e-05,
191
+ "loss": 1.3269,
192
+ "step": 1300
193
+ },
194
+ {
195
+ "epoch": 8.70569366479551,
196
+ "grad_norm": 0.6343262791633606,
197
+ "learning_rate": 2.5935483870967743e-05,
198
+ "loss": 1.3253,
199
+ "step": 1350
200
+ },
201
+ {
202
+ "epoch": 9.032076984763432,
203
+ "grad_norm": 0.6897485852241516,
204
+ "learning_rate": 1.9483870967741935e-05,
205
+ "loss": 1.3482,
206
+ "step": 1400
207
+ }
208
+ ],
209
+ "logging_steps": 50,
210
+ "max_steps": 1550,
211
+ "num_input_tokens_seen": 0,
212
+ "num_train_epochs": 10,
213
+ "save_steps": 200,
214
+ "stateful_callbacks": {
215
+ "TrainerControl": {
216
+ "args": {
217
+ "should_epoch_stop": false,
218
+ "should_evaluate": false,
219
+ "should_log": false,
220
+ "should_save": true,
221
+ "should_training_stop": false
222
+ },
223
+ "attributes": {}
224
+ }
225
+ },
226
+ "total_flos": 1.1948285749100544e+16,
227
+ "train_batch_size": 4,
228
+ "trial_name": null,
229
+ "trial_params": null
230
+ }
checkpoint-1400/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3d0fe73ea3013ed5e91b39f19c03a4ff993193c6e29681c5c432474c127b5a3
3
+ size 5368
checkpoint-1400/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1550/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: microsoft/DialoGPT-small
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- 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. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ 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).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.15.2
checkpoint-1550/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "microsoft/DialoGPT-small",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": true,
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": 32,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.05,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 16,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "c_attn",
28
+ "c_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "trainable_token_indices": null,
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-1550/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eeee652b1db45550368838018e48c2840c4fb4d3fe56abdbe9826b851ddcf642
3
+ size 315295208
checkpoint-1550/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|assistant|>": 50258,
3
+ "<|end|>": 50259,
4
+ "<|user|>": 50257
5
+ }
checkpoint-1550/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1550/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb6e985157dc58ef2d10deb0d626c681b37d6117fcbe576a0d1746308c2f3bcc
3
+ size 13036922
checkpoint-1550/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2af15173d1ea9874aabcb6e90c709c5cf8a6ffe86c5b0b59055ef52f4a475f90
3
+ size 14244
checkpoint-1550/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac1771a2a77e1f495c345d89322b2015af4098d912b45c2d61c277b142e0deba
3
+ size 988
checkpoint-1550/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a6fb3e2cb93ffa0c99e0062ad02a2624d57abf68970d0883c1c552bd0d611b5
3
+ size 1064
checkpoint-1550/special_tokens_map.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ {
4
+ "content": "<|user|>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ {
11
+ "content": "<|assistant|>",
12
+ "lstrip": false,
13
+ "normalized": false,
14
+ "rstrip": false,
15
+ "single_word": false
16
+ },
17
+ {
18
+ "content": "<|end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ ],
25
+ "bos_token": {
26
+ "content": "<|endoftext|>",
27
+ "lstrip": false,
28
+ "normalized": true,
29
+ "rstrip": false,
30
+ "single_word": false
31
+ },
32
+ "eos_token": {
33
+ "content": "<|endoftext|>",
34
+ "lstrip": false,
35
+ "normalized": true,
36
+ "rstrip": false,
37
+ "single_word": false
38
+ },
39
+ "pad_token": "<|endoftext|>",
40
+ "unk_token": {
41
+ "content": "<|endoftext|>",
42
+ "lstrip": false,
43
+ "normalized": true,
44
+ "rstrip": false,
45
+ "single_word": false
46
+ }
47
+ }
checkpoint-1550/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1550/tokenizer_config.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "50256": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "50257": {
14
+ "content": "<|user|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "50258": {
22
+ "content": "<|assistant|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "50259": {
30
+ "content": "<|end|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ }
37
+ },
38
+ "additional_special_tokens": [
39
+ "<|user|>",
40
+ "<|assistant|>",
41
+ "<|end|>"
42
+ ],
43
+ "bos_token": "<|endoftext|>",
44
+ "chat_template": "{% for message in messages %}{{ message.content }}{{ eos_token }}{% endfor %}",
45
+ "clean_up_tokenization_spaces": true,
46
+ "eos_token": "<|endoftext|>",
47
+ "errors": "replace",
48
+ "extra_special_tokens": {},
49
+ "model_max_length": 1024,
50
+ "pad_token": "<|endoftext|>",
51
+ "tokenizer_class": "GPT2Tokenizer",
52
+ "unk_token": "<|endoftext|>"
53
+ }
checkpoint-1550/trainer_state.json ADDED
@@ -0,0 +1,251 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 9.9943865276664,
6
+ "eval_steps": 500,
7
+ "global_step": 1550,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.32076984763432237,
14
+ "grad_norm": 1.1961698532104492,
15
+ "learning_rate": 0.0001936774193548387,
16
+ "loss": 7.3524,
17
+ "step": 50
18
+ },
19
+ {
20
+ "epoch": 0.6415396952686447,
21
+ "grad_norm": 1.2789437770843506,
22
+ "learning_rate": 0.0001872258064516129,
23
+ "loss": 3.6807,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.9623095429029671,
28
+ "grad_norm": 1.7264803647994995,
29
+ "learning_rate": 0.00018077419354838712,
30
+ "loss": 2.6374,
31
+ "step": 150
32
+ },
33
+ {
34
+ "epoch": 1.28869286287089,
35
+ "grad_norm": 2.0422234535217285,
36
+ "learning_rate": 0.0001743225806451613,
37
+ "loss": 2.2389,
38
+ "step": 200
39
+ },
40
+ {
41
+ "epoch": 1.6094627105052126,
42
+ "grad_norm": 1.3594920635223389,
43
+ "learning_rate": 0.0001678709677419355,
44
+ "loss": 1.9477,
45
+ "step": 250
46
+ },
47
+ {
48
+ "epoch": 1.9302325581395348,
49
+ "grad_norm": 1.3383938074111938,
50
+ "learning_rate": 0.00016141935483870968,
51
+ "loss": 1.798,
52
+ "step": 300
53
+ },
54
+ {
55
+ "epoch": 2.256615878107458,
56
+ "grad_norm": 1.3180880546569824,
57
+ "learning_rate": 0.00015496774193548386,
58
+ "loss": 1.7137,
59
+ "step": 350
60
+ },
61
+ {
62
+ "epoch": 2.57738572574178,
63
+ "grad_norm": 1.5831503868103027,
64
+ "learning_rate": 0.00014851612903225806,
65
+ "loss": 1.6172,
66
+ "step": 400
67
+ },
68
+ {
69
+ "epoch": 2.8981555733761026,
70
+ "grad_norm": 1.1111356019973755,
71
+ "learning_rate": 0.00014206451612903227,
72
+ "loss": 1.5438,
73
+ "step": 450
74
+ },
75
+ {
76
+ "epoch": 3.2245388933440258,
77
+ "grad_norm": 1.4079397916793823,
78
+ "learning_rate": 0.00013561290322580647,
79
+ "loss": 1.5296,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 3.545308740978348,
84
+ "grad_norm": 1.2908076047897339,
85
+ "learning_rate": 0.00012916129032258065,
86
+ "loss": 1.4594,
87
+ "step": 550
88
+ },
89
+ {
90
+ "epoch": 3.8660785886126705,
91
+ "grad_norm": 0.8618972301483154,
92
+ "learning_rate": 0.00012270967741935483,
93
+ "loss": 1.432,
94
+ "step": 600
95
+ },
96
+ {
97
+ "epoch": 4.192461908580594,
98
+ "grad_norm": 1.1210609674453735,
99
+ "learning_rate": 0.00011625806451612904,
100
+ "loss": 1.4487,
101
+ "step": 650
102
+ },
103
+ {
104
+ "epoch": 4.513231756214916,
105
+ "grad_norm": 0.9073360562324524,
106
+ "learning_rate": 0.00010980645161290324,
107
+ "loss": 1.3993,
108
+ "step": 700
109
+ },
110
+ {
111
+ "epoch": 4.834001603849238,
112
+ "grad_norm": 0.808058500289917,
113
+ "learning_rate": 0.00010335483870967742,
114
+ "loss": 1.3932,
115
+ "step": 750
116
+ },
117
+ {
118
+ "epoch": 5.160384923817161,
119
+ "grad_norm": 0.9300913214683533,
120
+ "learning_rate": 9.690322580645161e-05,
121
+ "loss": 1.4074,
122
+ "step": 800
123
+ },
124
+ {
125
+ "epoch": 5.481154771451483,
126
+ "grad_norm": 0.867842435836792,
127
+ "learning_rate": 9.045161290322582e-05,
128
+ "loss": 1.3624,
129
+ "step": 850
130
+ },
131
+ {
132
+ "epoch": 5.801924619085806,
133
+ "grad_norm": 0.7427595257759094,
134
+ "learning_rate": 8.4e-05,
135
+ "loss": 1.3552,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 6.1283079390537285,
140
+ "grad_norm": 0.8087818026542664,
141
+ "learning_rate": 7.75483870967742e-05,
142
+ "loss": 1.3681,
143
+ "step": 950
144
+ },
145
+ {
146
+ "epoch": 6.4490777866880515,
147
+ "grad_norm": 0.9388403296470642,
148
+ "learning_rate": 7.109677419354839e-05,
149
+ "loss": 1.3385,
150
+ "step": 1000
151
+ },
152
+ {
153
+ "epoch": 6.769847634322374,
154
+ "grad_norm": 0.7225080728530884,
155
+ "learning_rate": 6.464516129032258e-05,
156
+ "loss": 1.3429,
157
+ "step": 1050
158
+ },
159
+ {
160
+ "epoch": 7.096230954290297,
161
+ "grad_norm": 0.9824959635734558,
162
+ "learning_rate": 5.819354838709678e-05,
163
+ "loss": 1.3761,
164
+ "step": 1100
165
+ },
166
+ {
167
+ "epoch": 7.417000801924619,
168
+ "grad_norm": 0.7515531778335571,
169
+ "learning_rate": 5.1741935483870975e-05,
170
+ "loss": 1.3335,
171
+ "step": 1150
172
+ },
173
+ {
174
+ "epoch": 7.737770649558941,
175
+ "grad_norm": 0.8200371265411377,
176
+ "learning_rate": 4.529032258064516e-05,
177
+ "loss": 1.3225,
178
+ "step": 1200
179
+ },
180
+ {
181
+ "epoch": 8.064153969526865,
182
+ "grad_norm": 0.8314862847328186,
183
+ "learning_rate": 3.883870967741935e-05,
184
+ "loss": 1.3499,
185
+ "step": 1250
186
+ },
187
+ {
188
+ "epoch": 8.384923817161187,
189
+ "grad_norm": 0.6968998312950134,
190
+ "learning_rate": 3.238709677419355e-05,
191
+ "loss": 1.3269,
192
+ "step": 1300
193
+ },
194
+ {
195
+ "epoch": 8.70569366479551,
196
+ "grad_norm": 0.6343262791633606,
197
+ "learning_rate": 2.5935483870967743e-05,
198
+ "loss": 1.3253,
199
+ "step": 1350
200
+ },
201
+ {
202
+ "epoch": 9.032076984763432,
203
+ "grad_norm": 0.6897485852241516,
204
+ "learning_rate": 1.9483870967741935e-05,
205
+ "loss": 1.3482,
206
+ "step": 1400
207
+ },
208
+ {
209
+ "epoch": 9.352846832397754,
210
+ "grad_norm": 1.0274337530136108,
211
+ "learning_rate": 1.3032258064516129e-05,
212
+ "loss": 1.3332,
213
+ "step": 1450
214
+ },
215
+ {
216
+ "epoch": 9.673616680032078,
217
+ "grad_norm": 0.7928735613822937,
218
+ "learning_rate": 6.580645161290323e-06,
219
+ "loss": 1.3161,
220
+ "step": 1500
221
+ },
222
+ {
223
+ "epoch": 9.9943865276664,
224
+ "grad_norm": 0.6730108261108398,
225
+ "learning_rate": 1.2903225806451614e-07,
226
+ "loss": 1.312,
227
+ "step": 1550
228
+ }
229
+ ],
230
+ "logging_steps": 50,
231
+ "max_steps": 1550,
232
+ "num_input_tokens_seen": 0,
233
+ "num_train_epochs": 10,
234
+ "save_steps": 200,
235
+ "stateful_callbacks": {
236
+ "TrainerControl": {
237
+ "args": {
238
+ "should_epoch_stop": false,
239
+ "should_evaluate": false,
240
+ "should_log": false,
241
+ "should_save": true,
242
+ "should_training_stop": true
243
+ },
244
+ "attributes": {}
245
+ }
246
+ },
247
+ "total_flos": 1.3226405101830144e+16,
248
+ "train_batch_size": 4,
249
+ "trial_name": null,
250
+ "trial_params": null
251
+ }
checkpoint-1550/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3d0fe73ea3013ed5e91b39f19c03a4ff993193c6e29681c5c432474c127b5a3
3
+ size 5368
checkpoint-1550/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
runs/Apr21_22-46-00_a83a3e663711/events.out.tfevents.1745275563.a83a3e663711.11146.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:01edd34d5ef3e58eccd79fdae68495c29972773794fa99b4c5475871efcb7bd9
3
+ size 5322