henilp105 commited on
Commit
be2cda5
1 Parent(s): b5f4142

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: lmsys/vicuna-7b-v1.5
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 0.11.1
adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "q_proj"
25
+ ],
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5c4cd40079b762734921ffebb4fde05ac637b4f203a63ed88fb89757cc05d59
3
+ size 16794200
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da5f008808dfca039fbb1f797c1f4f354ccc95d11f880d2840532b62ff00e65a
3
+ size 33630266
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd77c95b7dbb073182570cfbab8933fb2e0dfdfcf96ba56c0bf84301ccccd55e
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b66148dc81c1fd28b967a511b8137774b6aec499882788bdffc5a6ed7709f38
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "clean_up_tokenization_spaces": false,
33
+ "eos_token": "</s>",
34
+ "legacy": false,
35
+ "model_max_length": 4096,
36
+ "pad_token": "</s>",
37
+ "padding_side": "right",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
trainer_state.json ADDED
@@ -0,0 +1,320 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 410,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04878048780487805,
13
+ "grad_norm": 0.4036892056465149,
14
+ "learning_rate": 0.00019999478113897612,
15
+ "loss": 1.0282,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.0975609756097561,
20
+ "grad_norm": 0.3629762828350067,
21
+ "learning_rate": 0.0001999791251006346,
22
+ "loss": 0.7875,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.14634146341463414,
27
+ "grad_norm": 0.4877622425556183,
28
+ "learning_rate": 0.0001999530335191093,
29
+ "loss": 0.5942,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.1951219512195122,
34
+ "grad_norm": 0.4466260075569153,
35
+ "learning_rate": 0.00019991650911776695,
36
+ "loss": 0.3866,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.24390243902439024,
41
+ "grad_norm": 0.649118959903717,
42
+ "learning_rate": 0.000199869555708923,
43
+ "loss": 0.3928,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.2926829268292683,
48
+ "grad_norm": 0.8762800097465515,
49
+ "learning_rate": 0.0001998121781934438,
50
+ "loss": 0.3258,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.34146341463414637,
55
+ "grad_norm": 0.9195622801780701,
56
+ "learning_rate": 0.0001997443825602349,
57
+ "loss": 0.2885,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.3902439024390244,
62
+ "grad_norm": 0.5856262445449829,
63
+ "learning_rate": 0.00019966617588561609,
64
+ "loss": 0.2888,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.43902439024390244,
69
+ "grad_norm": 0.5520443320274353,
70
+ "learning_rate": 0.00019957756633258265,
71
+ "loss": 0.2242,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.4878048780487805,
76
+ "grad_norm": 0.9435800909996033,
77
+ "learning_rate": 0.00019947856314995349,
78
+ "loss": 0.1629,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.5365853658536586,
83
+ "grad_norm": 0.9416623115539551,
84
+ "learning_rate": 0.00019936917667140555,
85
+ "loss": 0.1555,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.5853658536585366,
90
+ "grad_norm": 0.802065372467041,
91
+ "learning_rate": 0.0001992494183143955,
92
+ "loss": 0.1339,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.6341463414634146,
97
+ "grad_norm": 0.7007794380187988,
98
+ "learning_rate": 0.00019911930057896774,
99
+ "loss": 0.1191,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.6829268292682927,
104
+ "grad_norm": 0.6755990386009216,
105
+ "learning_rate": 0.00019897883704644983,
106
+ "loss": 0.1571,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.7317073170731707,
111
+ "grad_norm": 1.6951078176498413,
112
+ "learning_rate": 0.00019882804237803488,
113
+ "loss": 0.1309,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.7804878048780488,
118
+ "grad_norm": 0.567158579826355,
119
+ "learning_rate": 0.0001986669323132512,
120
+ "loss": 0.0766,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.8292682926829268,
125
+ "grad_norm": 0.8820038437843323,
126
+ "learning_rate": 0.0001984955236683196,
127
+ "loss": 0.0839,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.8780487804878049,
132
+ "grad_norm": 0.6520794034004211,
133
+ "learning_rate": 0.00019831383433439797,
134
+ "loss": 0.0863,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.926829268292683,
139
+ "grad_norm": 0.45519864559173584,
140
+ "learning_rate": 0.00019812188327571399,
141
+ "loss": 0.0889,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.975609756097561,
146
+ "grad_norm": 0.614235520362854,
147
+ "learning_rate": 0.00019791969052758562,
148
+ "loss": 0.0725,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 1.024390243902439,
153
+ "grad_norm": 0.2764686644077301,
154
+ "learning_rate": 0.00019770727719432994,
155
+ "loss": 0.0407,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 1.0731707317073171,
160
+ "grad_norm": 0.6082726716995239,
161
+ "learning_rate": 0.00019748466544706022,
162
+ "loss": 0.044,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 1.1219512195121952,
167
+ "grad_norm": 0.9295619130134583,
168
+ "learning_rate": 0.00019725187852137195,
169
+ "loss": 0.0675,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 1.170731707317073,
174
+ "grad_norm": 0.3758924603462219,
175
+ "learning_rate": 0.00019700894071491732,
176
+ "loss": 0.0439,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 1.2195121951219512,
181
+ "grad_norm": 0.46514585614204407,
182
+ "learning_rate": 0.00019675587738486936,
183
+ "loss": 0.0398,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 1.2682926829268293,
188
+ "grad_norm": 0.5870018005371094,
189
+ "learning_rate": 0.0001964927149452751,
190
+ "loss": 0.0406,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 1.3170731707317074,
195
+ "grad_norm": 0.30292996764183044,
196
+ "learning_rate": 0.00019621948086429844,
197
+ "loss": 0.028,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 1.3658536585365852,
202
+ "grad_norm": 0.47037121653556824,
203
+ "learning_rate": 0.00019593620366135337,
204
+ "loss": 0.0239,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 1.4146341463414633,
209
+ "grad_norm": 0.4176475405693054,
210
+ "learning_rate": 0.00019564291290412688,
211
+ "loss": 0.0281,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 1.4634146341463414,
216
+ "grad_norm": 0.3179157078266144,
217
+ "learning_rate": 0.00019533963920549306,
218
+ "loss": 0.0281,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 1.5121951219512195,
223
+ "grad_norm": 0.5817562937736511,
224
+ "learning_rate": 0.00019502641422031763,
225
+ "loss": 0.0296,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 1.5609756097560976,
230
+ "grad_norm": 0.7409655451774597,
231
+ "learning_rate": 0.00019470327064215383,
232
+ "loss": 0.029,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 1.6097560975609757,
237
+ "grad_norm": 0.4418310225009918,
238
+ "learning_rate": 0.00019437024219983028,
239
+ "loss": 0.0583,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 1.6585365853658538,
244
+ "grad_norm": 0.31637728214263916,
245
+ "learning_rate": 0.0001940273636539301,
246
+ "loss": 0.0354,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 1.7073170731707317,
251
+ "grad_norm": 0.22175493836402893,
252
+ "learning_rate": 0.00019367467079316279,
253
+ "loss": 0.0514,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 1.7560975609756098,
258
+ "grad_norm": 0.6636152267456055,
259
+ "learning_rate": 0.00019331220043062894,
260
+ "loss": 0.034,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 1.8048780487804879,
265
+ "grad_norm": 0.8424332141876221,
266
+ "learning_rate": 0.00019293999039997746,
267
+ "loss": 0.0299,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 1.8536585365853657,
272
+ "grad_norm": 0.6435155272483826,
273
+ "learning_rate": 0.00019255807955145677,
274
+ "loss": 0.0508,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 1.9024390243902438,
279
+ "grad_norm": 0.7734220027923584,
280
+ "learning_rate": 0.00019216650774785972,
281
+ "loss": 0.035,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 1.951219512195122,
286
+ "grad_norm": 0.2854250967502594,
287
+ "learning_rate": 0.0001917653158603628,
288
+ "loss": 0.0339,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 2.0,
293
+ "grad_norm": 0.6165639758110046,
294
+ "learning_rate": 0.0001913545457642601,
295
+ "loss": 0.0323,
296
+ "step": 410
297
+ }
298
+ ],
299
+ "logging_steps": 10,
300
+ "max_steps": 3075,
301
+ "num_input_tokens_seen": 0,
302
+ "num_train_epochs": 15,
303
+ "save_steps": 500,
304
+ "stateful_callbacks": {
305
+ "TrainerControl": {
306
+ "args": {
307
+ "should_epoch_stop": false,
308
+ "should_evaluate": false,
309
+ "should_log": false,
310
+ "should_save": true,
311
+ "should_training_stop": false
312
+ },
313
+ "attributes": {}
314
+ }
315
+ },
316
+ "total_flos": 1.64317874233344e+16,
317
+ "train_batch_size": 1,
318
+ "trial_name": null,
319
+ "trial_params": null
320
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:618d2fd08d5f40db203f14da632df01dd896f66e47028894bfc6986f0921daa4
3
+ size 5432