GGital commited on
Commit
df3fb3b
1 Parent(s): fc3abfc

Upload 36 files

Browse files
Files changed (36) hide show
  1. README.md +218 -0
  2. adapter_config.json +23 -0
  3. adapter_model.bin +3 -0
  4. checkpoint-200/README.md +218 -0
  5. checkpoint-200/adapter_config.json +23 -0
  6. checkpoint-200/adapter_model.bin +3 -0
  7. checkpoint-200/optimizer.pt +3 -0
  8. checkpoint-200/rng_state.pth +3 -0
  9. checkpoint-200/scheduler.pt +3 -0
  10. checkpoint-200/trainer_state.json +144 -0
  11. checkpoint-200/training_args.bin +3 -0
  12. checkpoint-400/README.md +218 -0
  13. checkpoint-400/adapter_config.json +23 -0
  14. checkpoint-400/adapter_model.bin +3 -0
  15. checkpoint-400/optimizer.pt +3 -0
  16. checkpoint-400/rng_state.pth +3 -0
  17. checkpoint-400/scheduler.pt +3 -0
  18. checkpoint-400/trainer_state.json +272 -0
  19. checkpoint-400/training_args.bin +3 -0
  20. checkpoint-600/README.md +218 -0
  21. checkpoint-600/adapter_config.json +23 -0
  22. checkpoint-600/adapter_model.bin +3 -0
  23. checkpoint-600/optimizer.pt +3 -0
  24. checkpoint-600/rng_state.pth +3 -0
  25. checkpoint-600/scheduler.pt +3 -0
  26. checkpoint-600/trainer_state.json +400 -0
  27. checkpoint-600/training_args.bin +3 -0
  28. runs/Oct06_07-23-18_af3493a7af10/events.out.tfevents.1696577001.af3493a7af10.3593.0 +3 -0
  29. runs/Oct06_07-28-18_af3493a7af10/events.out.tfevents.1696577300.af3493a7af10.5687.0 +3 -0
  30. runs/Oct06_07-36-25_af3493a7af10/events.out.tfevents.1696577786.af3493a7af10.7846.0 +3 -0
  31. runs/Oct06_07-42-18_af3493a7af10/events.out.tfevents.1696578139.af3493a7af10.9745.0 +3 -0
  32. runs/Oct06_07-44-57_af3493a7af10/events.out.tfevents.1696578298.af3493a7af10.10533.0 +3 -0
  33. runs/Oct06_07-50-16_af3493a7af10/events.out.tfevents.1696578617.af3493a7af10.11954.0 +3 -0
  34. runs/Oct06_07-53-43_af3493a7af10/events.out.tfevents.1696578824.af3493a7af10.12940.0 +3 -0
  35. runs/Oct06_07-55-49_af3493a7af10/events.out.tfevents.1696578950.af3493a7af10.13610.0 +3 -0
  36. runs/Oct06_07-58-30_af3493a7af10/events.out.tfevents.1696579111.af3493a7af10.14367.0 +3 -0
README.md ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf
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
+ - **Shared by [optional]:** [More Information Needed]
22
+ - **Model type:** [More Information Needed]
23
+ - **Language(s) (NLP):** [More Information Needed]
24
+ - **License:** [More Information Needed]
25
+ - **Finetuned from model [optional]:** [More Information Needed]
26
+
27
+ ### Model Sources [optional]
28
+
29
+ <!-- Provide the basic links for the model. -->
30
+
31
+ - **Repository:** [More Information Needed]
32
+ - **Paper [optional]:** [More Information Needed]
33
+ - **Demo [optional]:** [More Information Needed]
34
+
35
+ ## Uses
36
+
37
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
38
+
39
+ ### Direct Use
40
+
41
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
42
+
43
+ [More Information Needed]
44
+
45
+ ### Downstream Use [optional]
46
+
47
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Out-of-Scope Use
52
+
53
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
54
+
55
+ [More Information Needed]
56
+
57
+ ## Bias, Risks, and Limitations
58
+
59
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ### Recommendations
64
+
65
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
66
+
67
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
68
+
69
+ ## How to Get Started with the Model
70
+
71
+ Use the code below to get started with the model.
72
+
73
+ [More Information Needed]
74
+
75
+ ## Training Details
76
+
77
+ ### Training Data
78
+
79
+ <!-- This should link to a Data 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. -->
80
+
81
+ [More Information Needed]
82
+
83
+ ### Training Procedure
84
+
85
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
86
+
87
+ #### Preprocessing [optional]
88
+
89
+ [More Information Needed]
90
+
91
+
92
+ #### Training Hyperparameters
93
+
94
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
95
+
96
+ #### Speeds, Sizes, Times [optional]
97
+
98
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
99
+
100
+ [More Information Needed]
101
+
102
+ ## Evaluation
103
+
104
+ <!-- This section describes the evaluation protocols and provides the results. -->
105
+
106
+ ### Testing Data, Factors & Metrics
107
+
108
+ #### Testing Data
109
+
110
+ <!-- This should link to a Data Card if possible. -->
111
+
112
+ [More Information Needed]
113
+
114
+ #### Factors
115
+
116
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Metrics
121
+
122
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
123
+
124
+ [More Information Needed]
125
+
126
+ ### Results
127
+
128
+ [More Information Needed]
129
+
130
+ #### Summary
131
+
132
+
133
+
134
+ ## Model Examination [optional]
135
+
136
+ <!-- Relevant interpretability work for the model goes here -->
137
+
138
+ [More Information Needed]
139
+
140
+ ## Environmental Impact
141
+
142
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
143
+
144
+ 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).
145
+
146
+ - **Hardware Type:** [More Information Needed]
147
+ - **Hours used:** [More Information Needed]
148
+ - **Cloud Provider:** [More Information Needed]
149
+ - **Compute Region:** [More Information Needed]
150
+ - **Carbon Emitted:** [More Information Needed]
151
+
152
+ ## Technical Specifications [optional]
153
+
154
+ ### Model Architecture and Objective
155
+
156
+ [More Information Needed]
157
+
158
+ ### Compute Infrastructure
159
+
160
+ [More Information Needed]
161
+
162
+ #### Hardware
163
+
164
+ [More Information Needed]
165
+
166
+ #### Software
167
+
168
+ [More Information Needed]
169
+
170
+ ## Citation [optional]
171
+
172
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
173
+
174
+ **BibTeX:**
175
+
176
+ [More Information Needed]
177
+
178
+ **APA:**
179
+
180
+ [More Information Needed]
181
+
182
+ ## Glossary [optional]
183
+
184
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
185
+
186
+ [More Information Needed]
187
+
188
+ ## More Information [optional]
189
+
190
+ [More Information Needed]
191
+
192
+ ## Model Card Authors [optional]
193
+
194
+ [More Information Needed]
195
+
196
+ ## Model Card Contact
197
+
198
+ [More Information Needed]
199
+
200
+
201
+ ## Training procedure
202
+
203
+
204
+ The following `bitsandbytes` quantization config was used during training:
205
+ - load_in_8bit: True
206
+ - load_in_4bit: False
207
+ - llm_int8_threshold: 6.0
208
+ - llm_int8_skip_modules: None
209
+ - llm_int8_enable_fp32_cpu_offload: False
210
+ - llm_int8_has_fp16_weight: False
211
+ - bnb_4bit_quant_type: fp4
212
+ - bnb_4bit_use_double_quant: False
213
+ - bnb_4bit_compute_dtype: float32
214
+
215
+ ### Framework versions
216
+
217
+
218
+ - PEFT 0.6.0.dev0
adapter_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "lora_alpha": 16,
12
+ "lora_dropout": 0.05,
13
+ "modules_to_save": null,
14
+ "peft_type": "LORA",
15
+ "r": 8,
16
+ "rank_pattern": {},
17
+ "revision": null,
18
+ "target_modules": [
19
+ "v_proj",
20
+ "q_proj"
21
+ ],
22
+ "task_type": "CAUSAL_LM"
23
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:008bbc8739da4f4bce6c17b891923db0c8b31313bbb4f011ed151c378f7970fe
3
+ size 16822989
checkpoint-200/README.md ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf
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
+ - **Shared by [optional]:** [More Information Needed]
22
+ - **Model type:** [More Information Needed]
23
+ - **Language(s) (NLP):** [More Information Needed]
24
+ - **License:** [More Information Needed]
25
+ - **Finetuned from model [optional]:** [More Information Needed]
26
+
27
+ ### Model Sources [optional]
28
+
29
+ <!-- Provide the basic links for the model. -->
30
+
31
+ - **Repository:** [More Information Needed]
32
+ - **Paper [optional]:** [More Information Needed]
33
+ - **Demo [optional]:** [More Information Needed]
34
+
35
+ ## Uses
36
+
37
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
38
+
39
+ ### Direct Use
40
+
41
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
42
+
43
+ [More Information Needed]
44
+
45
+ ### Downstream Use [optional]
46
+
47
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Out-of-Scope Use
52
+
53
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
54
+
55
+ [More Information Needed]
56
+
57
+ ## Bias, Risks, and Limitations
58
+
59
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ### Recommendations
64
+
65
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
66
+
67
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
68
+
69
+ ## How to Get Started with the Model
70
+
71
+ Use the code below to get started with the model.
72
+
73
+ [More Information Needed]
74
+
75
+ ## Training Details
76
+
77
+ ### Training Data
78
+
79
+ <!-- This should link to a Data 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. -->
80
+
81
+ [More Information Needed]
82
+
83
+ ### Training Procedure
84
+
85
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
86
+
87
+ #### Preprocessing [optional]
88
+
89
+ [More Information Needed]
90
+
91
+
92
+ #### Training Hyperparameters
93
+
94
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
95
+
96
+ #### Speeds, Sizes, Times [optional]
97
+
98
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
99
+
100
+ [More Information Needed]
101
+
102
+ ## Evaluation
103
+
104
+ <!-- This section describes the evaluation protocols and provides the results. -->
105
+
106
+ ### Testing Data, Factors & Metrics
107
+
108
+ #### Testing Data
109
+
110
+ <!-- This should link to a Data Card if possible. -->
111
+
112
+ [More Information Needed]
113
+
114
+ #### Factors
115
+
116
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Metrics
121
+
122
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
123
+
124
+ [More Information Needed]
125
+
126
+ ### Results
127
+
128
+ [More Information Needed]
129
+
130
+ #### Summary
131
+
132
+
133
+
134
+ ## Model Examination [optional]
135
+
136
+ <!-- Relevant interpretability work for the model goes here -->
137
+
138
+ [More Information Needed]
139
+
140
+ ## Environmental Impact
141
+
142
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
143
+
144
+ 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).
145
+
146
+ - **Hardware Type:** [More Information Needed]
147
+ - **Hours used:** [More Information Needed]
148
+ - **Cloud Provider:** [More Information Needed]
149
+ - **Compute Region:** [More Information Needed]
150
+ - **Carbon Emitted:** [More Information Needed]
151
+
152
+ ## Technical Specifications [optional]
153
+
154
+ ### Model Architecture and Objective
155
+
156
+ [More Information Needed]
157
+
158
+ ### Compute Infrastructure
159
+
160
+ [More Information Needed]
161
+
162
+ #### Hardware
163
+
164
+ [More Information Needed]
165
+
166
+ #### Software
167
+
168
+ [More Information Needed]
169
+
170
+ ## Citation [optional]
171
+
172
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
173
+
174
+ **BibTeX:**
175
+
176
+ [More Information Needed]
177
+
178
+ **APA:**
179
+
180
+ [More Information Needed]
181
+
182
+ ## Glossary [optional]
183
+
184
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
185
+
186
+ [More Information Needed]
187
+
188
+ ## More Information [optional]
189
+
190
+ [More Information Needed]
191
+
192
+ ## Model Card Authors [optional]
193
+
194
+ [More Information Needed]
195
+
196
+ ## Model Card Contact
197
+
198
+ [More Information Needed]
199
+
200
+
201
+ ## Training procedure
202
+
203
+
204
+ The following `bitsandbytes` quantization config was used during training:
205
+ - load_in_8bit: True
206
+ - load_in_4bit: False
207
+ - llm_int8_threshold: 6.0
208
+ - llm_int8_skip_modules: None
209
+ - llm_int8_enable_fp32_cpu_offload: False
210
+ - llm_int8_has_fp16_weight: False
211
+ - bnb_4bit_quant_type: fp4
212
+ - bnb_4bit_use_double_quant: False
213
+ - bnb_4bit_compute_dtype: float32
214
+
215
+ ### Framework versions
216
+
217
+
218
+ - PEFT 0.6.0.dev0
checkpoint-200/adapter_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "lora_alpha": 16,
12
+ "lora_dropout": 0.05,
13
+ "modules_to_save": null,
14
+ "peft_type": "LORA",
15
+ "r": 8,
16
+ "rank_pattern": {},
17
+ "revision": null,
18
+ "target_modules": [
19
+ "v_proj",
20
+ "q_proj"
21
+ ],
22
+ "task_type": "CAUSAL_LM"
23
+ }
checkpoint-200/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:227ed95b71341cba0d563077f7f37f2dbed7750ff47f21b80ab4ddae118b2b02
3
+ size 16822989
checkpoint-200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b689890ddc96ee40858d9c1f1b534cb4e569ac2a86d09e0d379b529dfefef430
3
+ size 33661637
checkpoint-200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae5b0ef21e8ad5b1640860623f386cdd56278312f5d51ba39c68c7c42afbb165
3
+ size 14575
checkpoint-200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e3898e4de90d9c8915ce5bbd04cb758a9544095ecaac7b312d62a9e296d14033
3
+ size 627
checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,144 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.4036030769348145,
3
+ "best_model_checkpoint": "Models/checkpoint-200",
4
+ "epoch": 0.9269988412514485,
5
+ "global_step": 200,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.05,
12
+ "learning_rate": 2.9999999999999997e-05,
13
+ "loss": 2.1801,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.09,
18
+ "learning_rate": 5.9999999999999995e-05,
19
+ "loss": 2.1794,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.14,
24
+ "learning_rate": 8.999999999999999e-05,
25
+ "loss": 2.0713,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.19,
30
+ "learning_rate": 0.00011999999999999999,
31
+ "loss": 1.8861,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.23,
36
+ "learning_rate": 0.00015,
37
+ "loss": 1.8091,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.28,
42
+ "learning_rate": 0.00017999999999999998,
43
+ "loss": 1.7075,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.32,
48
+ "learning_rate": 0.00020999999999999998,
49
+ "loss": 1.5947,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.37,
54
+ "learning_rate": 0.00023999999999999998,
55
+ "loss": 1.6255,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.42,
60
+ "learning_rate": 0.00027,
61
+ "loss": 1.598,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.46,
66
+ "learning_rate": 0.0003,
67
+ "loss": 1.5142,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.51,
72
+ "learning_rate": 0.00029449541284403666,
73
+ "loss": 1.5258,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.56,
78
+ "learning_rate": 0.00028899082568807334,
79
+ "loss": 1.4687,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.6,
84
+ "learning_rate": 0.0002834862385321101,
85
+ "loss": 1.4434,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.65,
90
+ "learning_rate": 0.00027798165137614677,
91
+ "loss": 1.4302,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.7,
96
+ "learning_rate": 0.00027247706422018345,
97
+ "loss": 1.3928,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.74,
102
+ "learning_rate": 0.00026697247706422014,
103
+ "loss": 1.4525,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.79,
108
+ "learning_rate": 0.0002614678899082569,
109
+ "loss": 1.4681,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.83,
114
+ "learning_rate": 0.00025596330275229356,
115
+ "loss": 1.4105,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.88,
120
+ "learning_rate": 0.00025045871559633025,
121
+ "loss": 1.3371,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.93,
126
+ "learning_rate": 0.00024495412844036693,
127
+ "loss": 1.3493,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.93,
132
+ "eval_loss": 1.4036030769348145,
133
+ "eval_runtime": 87.4611,
134
+ "eval_samples_per_second": 22.867,
135
+ "eval_steps_per_second": 2.858,
136
+ "step": 200
137
+ }
138
+ ],
139
+ "max_steps": 645,
140
+ "num_train_epochs": 3,
141
+ "total_flos": 1.934247850750771e+16,
142
+ "trial_name": null,
143
+ "trial_params": null
144
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d1e74b7fd803a8e839b9c21fc0d7bfcb1a92e1832553d910fd90676ffabb4da
3
+ size 3899
checkpoint-400/README.md ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf
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
+ - **Shared by [optional]:** [More Information Needed]
22
+ - **Model type:** [More Information Needed]
23
+ - **Language(s) (NLP):** [More Information Needed]
24
+ - **License:** [More Information Needed]
25
+ - **Finetuned from model [optional]:** [More Information Needed]
26
+
27
+ ### Model Sources [optional]
28
+
29
+ <!-- Provide the basic links for the model. -->
30
+
31
+ - **Repository:** [More Information Needed]
32
+ - **Paper [optional]:** [More Information Needed]
33
+ - **Demo [optional]:** [More Information Needed]
34
+
35
+ ## Uses
36
+
37
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
38
+
39
+ ### Direct Use
40
+
41
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
42
+
43
+ [More Information Needed]
44
+
45
+ ### Downstream Use [optional]
46
+
47
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Out-of-Scope Use
52
+
53
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
54
+
55
+ [More Information Needed]
56
+
57
+ ## Bias, Risks, and Limitations
58
+
59
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ### Recommendations
64
+
65
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
66
+
67
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
68
+
69
+ ## How to Get Started with the Model
70
+
71
+ Use the code below to get started with the model.
72
+
73
+ [More Information Needed]
74
+
75
+ ## Training Details
76
+
77
+ ### Training Data
78
+
79
+ <!-- This should link to a Data 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. -->
80
+
81
+ [More Information Needed]
82
+
83
+ ### Training Procedure
84
+
85
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
86
+
87
+ #### Preprocessing [optional]
88
+
89
+ [More Information Needed]
90
+
91
+
92
+ #### Training Hyperparameters
93
+
94
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
95
+
96
+ #### Speeds, Sizes, Times [optional]
97
+
98
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
99
+
100
+ [More Information Needed]
101
+
102
+ ## Evaluation
103
+
104
+ <!-- This section describes the evaluation protocols and provides the results. -->
105
+
106
+ ### Testing Data, Factors & Metrics
107
+
108
+ #### Testing Data
109
+
110
+ <!-- This should link to a Data Card if possible. -->
111
+
112
+ [More Information Needed]
113
+
114
+ #### Factors
115
+
116
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Metrics
121
+
122
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
123
+
124
+ [More Information Needed]
125
+
126
+ ### Results
127
+
128
+ [More Information Needed]
129
+
130
+ #### Summary
131
+
132
+
133
+
134
+ ## Model Examination [optional]
135
+
136
+ <!-- Relevant interpretability work for the model goes here -->
137
+
138
+ [More Information Needed]
139
+
140
+ ## Environmental Impact
141
+
142
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
143
+
144
+ 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).
145
+
146
+ - **Hardware Type:** [More Information Needed]
147
+ - **Hours used:** [More Information Needed]
148
+ - **Cloud Provider:** [More Information Needed]
149
+ - **Compute Region:** [More Information Needed]
150
+ - **Carbon Emitted:** [More Information Needed]
151
+
152
+ ## Technical Specifications [optional]
153
+
154
+ ### Model Architecture and Objective
155
+
156
+ [More Information Needed]
157
+
158
+ ### Compute Infrastructure
159
+
160
+ [More Information Needed]
161
+
162
+ #### Hardware
163
+
164
+ [More Information Needed]
165
+
166
+ #### Software
167
+
168
+ [More Information Needed]
169
+
170
+ ## Citation [optional]
171
+
172
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
173
+
174
+ **BibTeX:**
175
+
176
+ [More Information Needed]
177
+
178
+ **APA:**
179
+
180
+ [More Information Needed]
181
+
182
+ ## Glossary [optional]
183
+
184
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
185
+
186
+ [More Information Needed]
187
+
188
+ ## More Information [optional]
189
+
190
+ [More Information Needed]
191
+
192
+ ## Model Card Authors [optional]
193
+
194
+ [More Information Needed]
195
+
196
+ ## Model Card Contact
197
+
198
+ [More Information Needed]
199
+
200
+
201
+ ## Training procedure
202
+
203
+
204
+ The following `bitsandbytes` quantization config was used during training:
205
+ - load_in_8bit: True
206
+ - load_in_4bit: False
207
+ - llm_int8_threshold: 6.0
208
+ - llm_int8_skip_modules: None
209
+ - llm_int8_enable_fp32_cpu_offload: False
210
+ - llm_int8_has_fp16_weight: False
211
+ - bnb_4bit_quant_type: fp4
212
+ - bnb_4bit_use_double_quant: False
213
+ - bnb_4bit_compute_dtype: float32
214
+
215
+ ### Framework versions
216
+
217
+
218
+ - PEFT 0.6.0.dev0
checkpoint-400/adapter_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "lora_alpha": 16,
12
+ "lora_dropout": 0.05,
13
+ "modules_to_save": null,
14
+ "peft_type": "LORA",
15
+ "r": 8,
16
+ "rank_pattern": {},
17
+ "revision": null,
18
+ "target_modules": [
19
+ "v_proj",
20
+ "q_proj"
21
+ ],
22
+ "task_type": "CAUSAL_LM"
23
+ }
checkpoint-400/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c749067fbcac98d950a1f94214ce1941dcaa372fc8b22daed090b4b392bec3ca
3
+ size 16822989
checkpoint-400/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:654c67b775ce84bb0b0d453e70848b7d68bc4757376a64a3d0509b5edffbb01a
3
+ size 33661637
checkpoint-400/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a45fca335d96ca7b8fb4a0b1cb0cc4726c0ad880949f8527c79c2179de5df25f
3
+ size 14575
checkpoint-400/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e7750c5ed289c824618797f9da4f70517efa2b1edb6d1db386283493f4ef80d
3
+ size 627
checkpoint-400/trainer_state.json ADDED
@@ -0,0 +1,272 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.3160691261291504,
3
+ "best_model_checkpoint": "Models/checkpoint-400",
4
+ "epoch": 1.853997682502897,
5
+ "global_step": 400,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.05,
12
+ "learning_rate": 2.9999999999999997e-05,
13
+ "loss": 2.1801,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.09,
18
+ "learning_rate": 5.9999999999999995e-05,
19
+ "loss": 2.1794,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.14,
24
+ "learning_rate": 8.999999999999999e-05,
25
+ "loss": 2.0713,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.19,
30
+ "learning_rate": 0.00011999999999999999,
31
+ "loss": 1.8861,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.23,
36
+ "learning_rate": 0.00015,
37
+ "loss": 1.8091,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.28,
42
+ "learning_rate": 0.00017999999999999998,
43
+ "loss": 1.7075,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.32,
48
+ "learning_rate": 0.00020999999999999998,
49
+ "loss": 1.5947,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.37,
54
+ "learning_rate": 0.00023999999999999998,
55
+ "loss": 1.6255,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.42,
60
+ "learning_rate": 0.00027,
61
+ "loss": 1.598,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.46,
66
+ "learning_rate": 0.0003,
67
+ "loss": 1.5142,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.51,
72
+ "learning_rate": 0.00029449541284403666,
73
+ "loss": 1.5258,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.56,
78
+ "learning_rate": 0.00028899082568807334,
79
+ "loss": 1.4687,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.6,
84
+ "learning_rate": 0.0002834862385321101,
85
+ "loss": 1.4434,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.65,
90
+ "learning_rate": 0.00027798165137614677,
91
+ "loss": 1.4302,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.7,
96
+ "learning_rate": 0.00027247706422018345,
97
+ "loss": 1.3928,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.74,
102
+ "learning_rate": 0.00026697247706422014,
103
+ "loss": 1.4525,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.79,
108
+ "learning_rate": 0.0002614678899082569,
109
+ "loss": 1.4681,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.83,
114
+ "learning_rate": 0.00025596330275229356,
115
+ "loss": 1.4105,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.88,
120
+ "learning_rate": 0.00025045871559633025,
121
+ "loss": 1.3371,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.93,
126
+ "learning_rate": 0.00024495412844036693,
127
+ "loss": 1.3493,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.93,
132
+ "eval_loss": 1.4036030769348145,
133
+ "eval_runtime": 87.4611,
134
+ "eval_samples_per_second": 22.867,
135
+ "eval_steps_per_second": 2.858,
136
+ "step": 200
137
+ },
138
+ {
139
+ "epoch": 0.97,
140
+ "learning_rate": 0.00023944954128440364,
141
+ "loss": 1.3139,
142
+ "step": 210
143
+ },
144
+ {
145
+ "epoch": 1.02,
146
+ "learning_rate": 0.00023394495412844035,
147
+ "loss": 1.3878,
148
+ "step": 220
149
+ },
150
+ {
151
+ "epoch": 1.07,
152
+ "learning_rate": 0.00022844036697247704,
153
+ "loss": 1.3011,
154
+ "step": 230
155
+ },
156
+ {
157
+ "epoch": 1.11,
158
+ "learning_rate": 0.00022293577981651375,
159
+ "loss": 1.3121,
160
+ "step": 240
161
+ },
162
+ {
163
+ "epoch": 1.16,
164
+ "learning_rate": 0.00021743119266055044,
165
+ "loss": 1.3234,
166
+ "step": 250
167
+ },
168
+ {
169
+ "epoch": 1.21,
170
+ "learning_rate": 0.00021192660550458712,
171
+ "loss": 1.2722,
172
+ "step": 260
173
+ },
174
+ {
175
+ "epoch": 1.25,
176
+ "learning_rate": 0.00020642201834862383,
177
+ "loss": 1.2897,
178
+ "step": 270
179
+ },
180
+ {
181
+ "epoch": 1.3,
182
+ "learning_rate": 0.00020091743119266052,
183
+ "loss": 1.2723,
184
+ "step": 280
185
+ },
186
+ {
187
+ "epoch": 1.34,
188
+ "learning_rate": 0.00019541284403669723,
189
+ "loss": 1.2375,
190
+ "step": 290
191
+ },
192
+ {
193
+ "epoch": 1.39,
194
+ "learning_rate": 0.00018990825688073391,
195
+ "loss": 1.2756,
196
+ "step": 300
197
+ },
198
+ {
199
+ "epoch": 1.44,
200
+ "learning_rate": 0.00018440366972477063,
201
+ "loss": 1.2567,
202
+ "step": 310
203
+ },
204
+ {
205
+ "epoch": 1.48,
206
+ "learning_rate": 0.0001788990825688073,
207
+ "loss": 1.2491,
208
+ "step": 320
209
+ },
210
+ {
211
+ "epoch": 1.53,
212
+ "learning_rate": 0.00017339449541284402,
213
+ "loss": 1.2501,
214
+ "step": 330
215
+ },
216
+ {
217
+ "epoch": 1.58,
218
+ "learning_rate": 0.0001678899082568807,
219
+ "loss": 1.2702,
220
+ "step": 340
221
+ },
222
+ {
223
+ "epoch": 1.62,
224
+ "learning_rate": 0.00016238532110091742,
225
+ "loss": 1.2882,
226
+ "step": 350
227
+ },
228
+ {
229
+ "epoch": 1.67,
230
+ "learning_rate": 0.0001568807339449541,
231
+ "loss": 1.2681,
232
+ "step": 360
233
+ },
234
+ {
235
+ "epoch": 1.71,
236
+ "learning_rate": 0.00015137614678899082,
237
+ "loss": 1.2652,
238
+ "step": 370
239
+ },
240
+ {
241
+ "epoch": 1.76,
242
+ "learning_rate": 0.00014587155963302753,
243
+ "loss": 1.2324,
244
+ "step": 380
245
+ },
246
+ {
247
+ "epoch": 1.81,
248
+ "learning_rate": 0.0001403669724770642,
249
+ "loss": 1.2817,
250
+ "step": 390
251
+ },
252
+ {
253
+ "epoch": 1.85,
254
+ "learning_rate": 0.00013486238532110092,
255
+ "loss": 1.2244,
256
+ "step": 400
257
+ },
258
+ {
259
+ "epoch": 1.85,
260
+ "eval_loss": 1.3160691261291504,
261
+ "eval_runtime": 87.8417,
262
+ "eval_samples_per_second": 22.768,
263
+ "eval_steps_per_second": 2.846,
264
+ "step": 400
265
+ }
266
+ ],
267
+ "max_steps": 645,
268
+ "num_train_epochs": 3,
269
+ "total_flos": 3.853804232717107e+16,
270
+ "trial_name": null,
271
+ "trial_params": null
272
+ }
checkpoint-400/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d1e74b7fd803a8e839b9c21fc0d7bfcb1a92e1832553d910fd90676ffabb4da
3
+ size 3899
checkpoint-600/README.md ADDED
@@ -0,0 +1,218 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf
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
+ - **Shared by [optional]:** [More Information Needed]
22
+ - **Model type:** [More Information Needed]
23
+ - **Language(s) (NLP):** [More Information Needed]
24
+ - **License:** [More Information Needed]
25
+ - **Finetuned from model [optional]:** [More Information Needed]
26
+
27
+ ### Model Sources [optional]
28
+
29
+ <!-- Provide the basic links for the model. -->
30
+
31
+ - **Repository:** [More Information Needed]
32
+ - **Paper [optional]:** [More Information Needed]
33
+ - **Demo [optional]:** [More Information Needed]
34
+
35
+ ## Uses
36
+
37
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
38
+
39
+ ### Direct Use
40
+
41
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
42
+
43
+ [More Information Needed]
44
+
45
+ ### Downstream Use [optional]
46
+
47
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Out-of-Scope Use
52
+
53
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
54
+
55
+ [More Information Needed]
56
+
57
+ ## Bias, Risks, and Limitations
58
+
59
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ### Recommendations
64
+
65
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
66
+
67
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
68
+
69
+ ## How to Get Started with the Model
70
+
71
+ Use the code below to get started with the model.
72
+
73
+ [More Information Needed]
74
+
75
+ ## Training Details
76
+
77
+ ### Training Data
78
+
79
+ <!-- This should link to a Data 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. -->
80
+
81
+ [More Information Needed]
82
+
83
+ ### Training Procedure
84
+
85
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
86
+
87
+ #### Preprocessing [optional]
88
+
89
+ [More Information Needed]
90
+
91
+
92
+ #### Training Hyperparameters
93
+
94
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
95
+
96
+ #### Speeds, Sizes, Times [optional]
97
+
98
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
99
+
100
+ [More Information Needed]
101
+
102
+ ## Evaluation
103
+
104
+ <!-- This section describes the evaluation protocols and provides the results. -->
105
+
106
+ ### Testing Data, Factors & Metrics
107
+
108
+ #### Testing Data
109
+
110
+ <!-- This should link to a Data Card if possible. -->
111
+
112
+ [More Information Needed]
113
+
114
+ #### Factors
115
+
116
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Metrics
121
+
122
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
123
+
124
+ [More Information Needed]
125
+
126
+ ### Results
127
+
128
+ [More Information Needed]
129
+
130
+ #### Summary
131
+
132
+
133
+
134
+ ## Model Examination [optional]
135
+
136
+ <!-- Relevant interpretability work for the model goes here -->
137
+
138
+ [More Information Needed]
139
+
140
+ ## Environmental Impact
141
+
142
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
143
+
144
+ 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).
145
+
146
+ - **Hardware Type:** [More Information Needed]
147
+ - **Hours used:** [More Information Needed]
148
+ - **Cloud Provider:** [More Information Needed]
149
+ - **Compute Region:** [More Information Needed]
150
+ - **Carbon Emitted:** [More Information Needed]
151
+
152
+ ## Technical Specifications [optional]
153
+
154
+ ### Model Architecture and Objective
155
+
156
+ [More Information Needed]
157
+
158
+ ### Compute Infrastructure
159
+
160
+ [More Information Needed]
161
+
162
+ #### Hardware
163
+
164
+ [More Information Needed]
165
+
166
+ #### Software
167
+
168
+ [More Information Needed]
169
+
170
+ ## Citation [optional]
171
+
172
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
173
+
174
+ **BibTeX:**
175
+
176
+ [More Information Needed]
177
+
178
+ **APA:**
179
+
180
+ [More Information Needed]
181
+
182
+ ## Glossary [optional]
183
+
184
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
185
+
186
+ [More Information Needed]
187
+
188
+ ## More Information [optional]
189
+
190
+ [More Information Needed]
191
+
192
+ ## Model Card Authors [optional]
193
+
194
+ [More Information Needed]
195
+
196
+ ## Model Card Contact
197
+
198
+ [More Information Needed]
199
+
200
+
201
+ ## Training procedure
202
+
203
+
204
+ The following `bitsandbytes` quantization config was used during training:
205
+ - load_in_8bit: True
206
+ - load_in_4bit: False
207
+ - llm_int8_threshold: 6.0
208
+ - llm_int8_skip_modules: None
209
+ - llm_int8_enable_fp32_cpu_offload: False
210
+ - llm_int8_has_fp16_weight: False
211
+ - bnb_4bit_quant_type: fp4
212
+ - bnb_4bit_use_double_quant: False
213
+ - bnb_4bit_compute_dtype: float32
214
+
215
+ ### Framework versions
216
+
217
+
218
+ - PEFT 0.6.0.dev0
checkpoint-600/adapter_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "lora_alpha": 16,
12
+ "lora_dropout": 0.05,
13
+ "modules_to_save": null,
14
+ "peft_type": "LORA",
15
+ "r": 8,
16
+ "rank_pattern": {},
17
+ "revision": null,
18
+ "target_modules": [
19
+ "v_proj",
20
+ "q_proj"
21
+ ],
22
+ "task_type": "CAUSAL_LM"
23
+ }
checkpoint-600/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:008bbc8739da4f4bce6c17b891923db0c8b31313bbb4f011ed151c378f7970fe
3
+ size 16822989
checkpoint-600/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60130c639e2ec9e64e2c7e4fc30a09266c9db1d1fe7b088371be1dde1c9ded5b
3
+ size 33661637
checkpoint-600/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2022b9084eaad35fa39d9d60b11022a55cb483af58466916262380e7162eb400
3
+ size 14575
checkpoint-600/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b90feb287dc996919e3b117741d0e5fc1a9046b137a2edeb80b96eee09400ac
3
+ size 627
checkpoint-600/trainer_state.json ADDED
@@ -0,0 +1,400 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.285245418548584,
3
+ "best_model_checkpoint": "Models/checkpoint-600",
4
+ "epoch": 2.7809965237543453,
5
+ "global_step": 600,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.05,
12
+ "learning_rate": 2.9999999999999997e-05,
13
+ "loss": 2.1801,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.09,
18
+ "learning_rate": 5.9999999999999995e-05,
19
+ "loss": 2.1794,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.14,
24
+ "learning_rate": 8.999999999999999e-05,
25
+ "loss": 2.0713,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.19,
30
+ "learning_rate": 0.00011999999999999999,
31
+ "loss": 1.8861,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.23,
36
+ "learning_rate": 0.00015,
37
+ "loss": 1.8091,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.28,
42
+ "learning_rate": 0.00017999999999999998,
43
+ "loss": 1.7075,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.32,
48
+ "learning_rate": 0.00020999999999999998,
49
+ "loss": 1.5947,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.37,
54
+ "learning_rate": 0.00023999999999999998,
55
+ "loss": 1.6255,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.42,
60
+ "learning_rate": 0.00027,
61
+ "loss": 1.598,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.46,
66
+ "learning_rate": 0.0003,
67
+ "loss": 1.5142,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.51,
72
+ "learning_rate": 0.00029449541284403666,
73
+ "loss": 1.5258,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.56,
78
+ "learning_rate": 0.00028899082568807334,
79
+ "loss": 1.4687,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.6,
84
+ "learning_rate": 0.0002834862385321101,
85
+ "loss": 1.4434,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.65,
90
+ "learning_rate": 0.00027798165137614677,
91
+ "loss": 1.4302,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.7,
96
+ "learning_rate": 0.00027247706422018345,
97
+ "loss": 1.3928,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.74,
102
+ "learning_rate": 0.00026697247706422014,
103
+ "loss": 1.4525,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.79,
108
+ "learning_rate": 0.0002614678899082569,
109
+ "loss": 1.4681,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.83,
114
+ "learning_rate": 0.00025596330275229356,
115
+ "loss": 1.4105,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.88,
120
+ "learning_rate": 0.00025045871559633025,
121
+ "loss": 1.3371,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.93,
126
+ "learning_rate": 0.00024495412844036693,
127
+ "loss": 1.3493,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.93,
132
+ "eval_loss": 1.4036030769348145,
133
+ "eval_runtime": 87.4611,
134
+ "eval_samples_per_second": 22.867,
135
+ "eval_steps_per_second": 2.858,
136
+ "step": 200
137
+ },
138
+ {
139
+ "epoch": 0.97,
140
+ "learning_rate": 0.00023944954128440364,
141
+ "loss": 1.3139,
142
+ "step": 210
143
+ },
144
+ {
145
+ "epoch": 1.02,
146
+ "learning_rate": 0.00023394495412844035,
147
+ "loss": 1.3878,
148
+ "step": 220
149
+ },
150
+ {
151
+ "epoch": 1.07,
152
+ "learning_rate": 0.00022844036697247704,
153
+ "loss": 1.3011,
154
+ "step": 230
155
+ },
156
+ {
157
+ "epoch": 1.11,
158
+ "learning_rate": 0.00022293577981651375,
159
+ "loss": 1.3121,
160
+ "step": 240
161
+ },
162
+ {
163
+ "epoch": 1.16,
164
+ "learning_rate": 0.00021743119266055044,
165
+ "loss": 1.3234,
166
+ "step": 250
167
+ },
168
+ {
169
+ "epoch": 1.21,
170
+ "learning_rate": 0.00021192660550458712,
171
+ "loss": 1.2722,
172
+ "step": 260
173
+ },
174
+ {
175
+ "epoch": 1.25,
176
+ "learning_rate": 0.00020642201834862383,
177
+ "loss": 1.2897,
178
+ "step": 270
179
+ },
180
+ {
181
+ "epoch": 1.3,
182
+ "learning_rate": 0.00020091743119266052,
183
+ "loss": 1.2723,
184
+ "step": 280
185
+ },
186
+ {
187
+ "epoch": 1.34,
188
+ "learning_rate": 0.00019541284403669723,
189
+ "loss": 1.2375,
190
+ "step": 290
191
+ },
192
+ {
193
+ "epoch": 1.39,
194
+ "learning_rate": 0.00018990825688073391,
195
+ "loss": 1.2756,
196
+ "step": 300
197
+ },
198
+ {
199
+ "epoch": 1.44,
200
+ "learning_rate": 0.00018440366972477063,
201
+ "loss": 1.2567,
202
+ "step": 310
203
+ },
204
+ {
205
+ "epoch": 1.48,
206
+ "learning_rate": 0.0001788990825688073,
207
+ "loss": 1.2491,
208
+ "step": 320
209
+ },
210
+ {
211
+ "epoch": 1.53,
212
+ "learning_rate": 0.00017339449541284402,
213
+ "loss": 1.2501,
214
+ "step": 330
215
+ },
216
+ {
217
+ "epoch": 1.58,
218
+ "learning_rate": 0.0001678899082568807,
219
+ "loss": 1.2702,
220
+ "step": 340
221
+ },
222
+ {
223
+ "epoch": 1.62,
224
+ "learning_rate": 0.00016238532110091742,
225
+ "loss": 1.2882,
226
+ "step": 350
227
+ },
228
+ {
229
+ "epoch": 1.67,
230
+ "learning_rate": 0.0001568807339449541,
231
+ "loss": 1.2681,
232
+ "step": 360
233
+ },
234
+ {
235
+ "epoch": 1.71,
236
+ "learning_rate": 0.00015137614678899082,
237
+ "loss": 1.2652,
238
+ "step": 370
239
+ },
240
+ {
241
+ "epoch": 1.76,
242
+ "learning_rate": 0.00014587155963302753,
243
+ "loss": 1.2324,
244
+ "step": 380
245
+ },
246
+ {
247
+ "epoch": 1.81,
248
+ "learning_rate": 0.0001403669724770642,
249
+ "loss": 1.2817,
250
+ "step": 390
251
+ },
252
+ {
253
+ "epoch": 1.85,
254
+ "learning_rate": 0.00013486238532110092,
255
+ "loss": 1.2244,
256
+ "step": 400
257
+ },
258
+ {
259
+ "epoch": 1.85,
260
+ "eval_loss": 1.3160691261291504,
261
+ "eval_runtime": 87.8417,
262
+ "eval_samples_per_second": 22.768,
263
+ "eval_steps_per_second": 2.846,
264
+ "step": 400
265
+ },
266
+ {
267
+ "epoch": 1.9,
268
+ "learning_rate": 0.0001293577981651376,
269
+ "loss": 1.2933,
270
+ "step": 410
271
+ },
272
+ {
273
+ "epoch": 1.95,
274
+ "learning_rate": 0.00012385321100917432,
275
+ "loss": 1.2248,
276
+ "step": 420
277
+ },
278
+ {
279
+ "epoch": 1.99,
280
+ "learning_rate": 0.000118348623853211,
281
+ "loss": 1.2437,
282
+ "step": 430
283
+ },
284
+ {
285
+ "epoch": 2.04,
286
+ "learning_rate": 0.0001128440366972477,
287
+ "loss": 1.1904,
288
+ "step": 440
289
+ },
290
+ {
291
+ "epoch": 2.09,
292
+ "learning_rate": 0.0001073394495412844,
293
+ "loss": 1.1809,
294
+ "step": 450
295
+ },
296
+ {
297
+ "epoch": 2.13,
298
+ "learning_rate": 0.0001018348623853211,
299
+ "loss": 1.1475,
300
+ "step": 460
301
+ },
302
+ {
303
+ "epoch": 2.18,
304
+ "learning_rate": 9.63302752293578e-05,
305
+ "loss": 1.1345,
306
+ "step": 470
307
+ },
308
+ {
309
+ "epoch": 2.22,
310
+ "learning_rate": 9.08256880733945e-05,
311
+ "loss": 1.1766,
312
+ "step": 480
313
+ },
314
+ {
315
+ "epoch": 2.27,
316
+ "learning_rate": 8.53211009174312e-05,
317
+ "loss": 1.1694,
318
+ "step": 490
319
+ },
320
+ {
321
+ "epoch": 2.32,
322
+ "learning_rate": 7.981651376146788e-05,
323
+ "loss": 1.1736,
324
+ "step": 500
325
+ },
326
+ {
327
+ "epoch": 2.36,
328
+ "learning_rate": 7.431192660550458e-05,
329
+ "loss": 1.1543,
330
+ "step": 510
331
+ },
332
+ {
333
+ "epoch": 2.41,
334
+ "learning_rate": 6.880733944954128e-05,
335
+ "loss": 1.1707,
336
+ "step": 520
337
+ },
338
+ {
339
+ "epoch": 2.46,
340
+ "learning_rate": 6.330275229357798e-05,
341
+ "loss": 1.112,
342
+ "step": 530
343
+ },
344
+ {
345
+ "epoch": 2.5,
346
+ "learning_rate": 5.7798165137614674e-05,
347
+ "loss": 1.1202,
348
+ "step": 540
349
+ },
350
+ {
351
+ "epoch": 2.55,
352
+ "learning_rate": 5.229357798165137e-05,
353
+ "loss": 1.1136,
354
+ "step": 550
355
+ },
356
+ {
357
+ "epoch": 2.6,
358
+ "learning_rate": 4.678899082568807e-05,
359
+ "loss": 1.1451,
360
+ "step": 560
361
+ },
362
+ {
363
+ "epoch": 2.64,
364
+ "learning_rate": 4.128440366972477e-05,
365
+ "loss": 1.1713,
366
+ "step": 570
367
+ },
368
+ {
369
+ "epoch": 2.69,
370
+ "learning_rate": 3.577981651376147e-05,
371
+ "loss": 1.1593,
372
+ "step": 580
373
+ },
374
+ {
375
+ "epoch": 2.73,
376
+ "learning_rate": 3.0275229357798166e-05,
377
+ "loss": 1.1583,
378
+ "step": 590
379
+ },
380
+ {
381
+ "epoch": 2.78,
382
+ "learning_rate": 2.477064220183486e-05,
383
+ "loss": 1.1867,
384
+ "step": 600
385
+ },
386
+ {
387
+ "epoch": 2.78,
388
+ "eval_loss": 1.285245418548584,
389
+ "eval_runtime": 87.6765,
390
+ "eval_samples_per_second": 22.811,
391
+ "eval_steps_per_second": 2.851,
392
+ "step": 600
393
+ }
394
+ ],
395
+ "max_steps": 645,
396
+ "num_train_epochs": 3,
397
+ "total_flos": 5.779417623743693e+16,
398
+ "trial_name": null,
399
+ "trial_params": null
400
+ }
checkpoint-600/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d1e74b7fd803a8e839b9c21fc0d7bfcb1a92e1832553d910fd90676ffabb4da
3
+ size 3899
runs/Oct06_07-23-18_af3493a7af10/events.out.tfevents.1696577001.af3493a7af10.3593.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:624986bbd819e1c08f3b251f07891d98c37e5942f4ff726f4def558ad18a3b37
3
+ size 4016
runs/Oct06_07-28-18_af3493a7af10/events.out.tfevents.1696577300.af3493a7af10.5687.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d3984504f602d0835ef71a7ee4647f6bb3bba6c6d3b40fa080b2f40f7a1fa767
3
+ size 4016
runs/Oct06_07-36-25_af3493a7af10/events.out.tfevents.1696577786.af3493a7af10.7846.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da2064685f2a9aed164d95fc369b5a0f82ed14022d56ae5cb47fa9646f5215b4
3
+ size 4016
runs/Oct06_07-42-18_af3493a7af10/events.out.tfevents.1696578139.af3493a7af10.9745.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5ec000a2599c74e3179bf42dc241c91dbce2cb4677531ecff0bb52940a26bfb
3
+ size 88
runs/Oct06_07-44-57_af3493a7af10/events.out.tfevents.1696578298.af3493a7af10.10533.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4a6e033b826ca00aabd80641751a9cdec7557ee6148d9abf4e7fd762752bb3e7
3
+ size 4016
runs/Oct06_07-50-16_af3493a7af10/events.out.tfevents.1696578617.af3493a7af10.11954.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:deae2a597d1df5c64159ff13798ec8a7bd80d0a0c582801b03889f85051fe14d
3
+ size 4983
runs/Oct06_07-53-43_af3493a7af10/events.out.tfevents.1696578824.af3493a7af10.12940.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b42e845b25a8cc56363d34bc0ba57408ec67c41e751456c641ba2e9879a309f1
3
+ size 4675
runs/Oct06_07-55-49_af3493a7af10/events.out.tfevents.1696578950.af3493a7af10.13610.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85f75f08273de4443c7ce4c5be309b50ce7964e6380520296f4148717602f9ce
3
+ size 4675
runs/Oct06_07-58-30_af3493a7af10/events.out.tfevents.1696579111.af3493a7af10.14367.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:312ac66ed24bd7127635afdfac3fe3c82e527b0d790576a117043456c27ceaa4
3
+ size 15546