p11-p11 commited on
Commit
c8cd9d7
·
verified ·
1 Parent(s): 99114b7

Upload 16 files

Browse files
checkpoint-10000/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-Instruct-v0.3
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 0.12.1.dev0
checkpoint-10000/adapter_config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
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": 0.1,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "q_proj",
25
+ "o_proj",
26
+ "k_proj"
27
+ ],
28
+ "task_type": "CAUSAL_LM",
29
+ "use_dora": false,
30
+ "use_rslora": false
31
+ }
checkpoint-10000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88f8382c39f31529eae6cff17b42872b6702cb97606fe66f186d9bb1a909218f
3
+ size 218138576
checkpoint-10000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e432f8307a8167e698bcd6a3b088e19fdeded1b080cf610e961dddd575a3f50
3
+ size 109573654
checkpoint-10000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:309855861fcc2cc62e52564e621ff316c4ab4643bcacc4c1e98e913dee6c8246
3
+ size 14244
checkpoint-10000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:faab340554922de73396118a9f31bc4cf25c8f5ee09759ed41b96da2aedc029b
3
+ size 1064
checkpoint-10000/trainer_state.json ADDED
@@ -0,0 +1,321 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.17230090630276715,
5
+ "eval_steps": 10000,
6
+ "global_step": 10000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.004307522657569179,
13
+ "grad_norm": 0.4925552308559418,
14
+ "learning_rate": 2.4998864565799097e-05,
15
+ "loss": 0.9861,
16
+ "step": 250
17
+ },
18
+ {
19
+ "epoch": 0.008615045315138358,
20
+ "grad_norm": 0.9346778988838196,
21
+ "learning_rate": 2.4995440213189432e-05,
22
+ "loss": 0.8053,
23
+ "step": 500
24
+ },
25
+ {
26
+ "epoch": 0.012922567972707537,
27
+ "grad_norm": 0.9080485701560974,
28
+ "learning_rate": 2.498972755096465e-05,
29
+ "loss": 0.778,
30
+ "step": 750
31
+ },
32
+ {
33
+ "epoch": 0.017230090630276716,
34
+ "grad_norm": 0.8981316685676575,
35
+ "learning_rate": 2.498172762529356e-05,
36
+ "loss": 0.7423,
37
+ "step": 1000
38
+ },
39
+ {
40
+ "epoch": 0.021537613287845894,
41
+ "grad_norm": 0.8113252520561218,
42
+ "learning_rate": 2.4971441901215136e-05,
43
+ "loss": 0.7344,
44
+ "step": 1250
45
+ },
46
+ {
47
+ "epoch": 0.025845135945415074,
48
+ "grad_norm": 0.7558934688568115,
49
+ "learning_rate": 2.4958872262370206e-05,
50
+ "loss": 0.7288,
51
+ "step": 1500
52
+ },
53
+ {
54
+ "epoch": 0.03015265860298425,
55
+ "grad_norm": 0.9201549887657166,
56
+ "learning_rate": 2.4944021010656492e-05,
57
+ "loss": 0.725,
58
+ "step": 1750
59
+ },
60
+ {
61
+ "epoch": 0.03446018126055343,
62
+ "grad_norm": 0.7769947648048401,
63
+ "learning_rate": 2.4926890865807073e-05,
64
+ "loss": 0.7205,
65
+ "step": 2000
66
+ },
67
+ {
68
+ "epoch": 0.038767703918122606,
69
+ "grad_norm": 0.9018628597259521,
70
+ "learning_rate": 2.4907484964892315e-05,
71
+ "loss": 0.7156,
72
+ "step": 2250
73
+ },
74
+ {
75
+ "epoch": 0.04307522657569179,
76
+ "grad_norm": 0.8375287055969238,
77
+ "learning_rate": 2.4885806861745365e-05,
78
+ "loss": 0.7137,
79
+ "step": 2500
80
+ },
81
+ {
82
+ "epoch": 0.04738274923326097,
83
+ "grad_norm": 0.9508460760116577,
84
+ "learning_rate": 2.4861860526311346e-05,
85
+ "loss": 0.7101,
86
+ "step": 2750
87
+ },
88
+ {
89
+ "epoch": 0.05169027189083015,
90
+ "grad_norm": 0.8501839637756348,
91
+ "learning_rate": 2.4835650343920313e-05,
92
+ "loss": 0.7105,
93
+ "step": 3000
94
+ },
95
+ {
96
+ "epoch": 0.05599779454839932,
97
+ "grad_norm": 0.9571662545204163,
98
+ "learning_rate": 2.480718111448419e-05,
99
+ "loss": 0.7056,
100
+ "step": 3250
101
+ },
102
+ {
103
+ "epoch": 0.0603053172059685,
104
+ "grad_norm": 0.9728882312774658,
105
+ "learning_rate": 2.4776458051617728e-05,
106
+ "loss": 0.7051,
107
+ "step": 3500
108
+ },
109
+ {
110
+ "epoch": 0.06461283986353768,
111
+ "grad_norm": 0.8361214995384216,
112
+ "learning_rate": 2.4743486781683745e-05,
113
+ "loss": 0.7076,
114
+ "step": 3750
115
+ },
116
+ {
117
+ "epoch": 0.06892036252110686,
118
+ "grad_norm": 0.8233757615089417,
119
+ "learning_rate": 2.4708273342762746e-05,
120
+ "loss": 0.7011,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.07322788517867604,
125
+ "grad_norm": 0.883545994758606,
126
+ "learning_rate": 2.467082418354717e-05,
127
+ "loss": 0.6976,
128
+ "step": 4250
129
+ },
130
+ {
131
+ "epoch": 0.07753540783624521,
132
+ "grad_norm": 0.7400261759757996,
133
+ "learning_rate": 2.463114616216044e-05,
134
+ "loss": 0.6992,
135
+ "step": 4500
136
+ },
137
+ {
138
+ "epoch": 0.0818429304938144,
139
+ "grad_norm": 0.8324729204177856,
140
+ "learning_rate": 2.4589246544901002e-05,
141
+ "loss": 0.6964,
142
+ "step": 4750
143
+ },
144
+ {
145
+ "epoch": 0.08615045315138357,
146
+ "grad_norm": 0.7931947112083435,
147
+ "learning_rate": 2.4545133004911653e-05,
148
+ "loss": 0.697,
149
+ "step": 5000
150
+ },
151
+ {
152
+ "epoch": 0.09045797580895276,
153
+ "grad_norm": 1.0109580755233765,
154
+ "learning_rate": 2.4498813620774335e-05,
155
+ "loss": 0.6984,
156
+ "step": 5250
157
+ },
158
+ {
159
+ "epoch": 0.09476549846652194,
160
+ "grad_norm": 0.8544988632202148,
161
+ "learning_rate": 2.4450296875030704e-05,
162
+ "loss": 0.6924,
163
+ "step": 5500
164
+ },
165
+ {
166
+ "epoch": 0.09907302112409111,
167
+ "grad_norm": 0.7610718011856079,
168
+ "learning_rate": 2.4399591652628703e-05,
169
+ "loss": 0.6899,
170
+ "step": 5750
171
+ },
172
+ {
173
+ "epoch": 0.1033805437816603,
174
+ "grad_norm": 0.7059574723243713,
175
+ "learning_rate": 2.434670723929544e-05,
176
+ "loss": 0.6913,
177
+ "step": 6000
178
+ },
179
+ {
180
+ "epoch": 0.10768806643922947,
181
+ "grad_norm": 0.8259685635566711,
182
+ "learning_rate": 2.4291653319836688e-05,
183
+ "loss": 0.6909,
184
+ "step": 6250
185
+ },
186
+ {
187
+ "epoch": 0.11199558909679865,
188
+ "grad_norm": 0.7509642839431763,
189
+ "learning_rate": 2.423443997636329e-05,
190
+ "loss": 0.687,
191
+ "step": 6500
192
+ },
193
+ {
194
+ "epoch": 0.11630311175436783,
195
+ "grad_norm": 0.8483273386955261,
196
+ "learning_rate": 2.4175077686444806e-05,
197
+ "loss": 0.6853,
198
+ "step": 6750
199
+ },
200
+ {
201
+ "epoch": 0.120610634411937,
202
+ "grad_norm": 0.8091647028923035,
203
+ "learning_rate": 2.411357732119073e-05,
204
+ "loss": 0.6873,
205
+ "step": 7000
206
+ },
207
+ {
208
+ "epoch": 0.12491815706950618,
209
+ "grad_norm": 0.8299710750579834,
210
+ "learning_rate": 2.4049950143259663e-05,
211
+ "loss": 0.6858,
212
+ "step": 7250
213
+ },
214
+ {
215
+ "epoch": 0.12922567972707535,
216
+ "grad_norm": 0.7714266777038574,
217
+ "learning_rate": 2.398420780479675e-05,
218
+ "loss": 0.6827,
219
+ "step": 7500
220
+ },
221
+ {
222
+ "epoch": 0.13353320238464456,
223
+ "grad_norm": 0.7820263504981995,
224
+ "learning_rate": 2.3916362345299814e-05,
225
+ "loss": 0.6822,
226
+ "step": 7750
227
+ },
228
+ {
229
+ "epoch": 0.13784072504221373,
230
+ "grad_norm": 0.7763279676437378,
231
+ "learning_rate": 2.3846426189414538e-05,
232
+ "loss": 0.6809,
233
+ "step": 8000
234
+ },
235
+ {
236
+ "epoch": 0.1421482476997829,
237
+ "grad_norm": 0.7766652703285217,
238
+ "learning_rate": 2.3774412144659126e-05,
239
+ "loss": 0.6777,
240
+ "step": 8250
241
+ },
242
+ {
243
+ "epoch": 0.14645577035735208,
244
+ "grad_norm": 0.6801514029502869,
245
+ "learning_rate": 2.370033339907883e-05,
246
+ "loss": 0.6782,
247
+ "step": 8500
248
+ },
249
+ {
250
+ "epoch": 0.15076329301492125,
251
+ "grad_norm": 0.8070161938667297,
252
+ "learning_rate": 2.3624203518830812e-05,
253
+ "loss": 0.6758,
254
+ "step": 8750
255
+ },
256
+ {
257
+ "epoch": 0.15507081567249043,
258
+ "grad_norm": 0.7602735757827759,
259
+ "learning_rate": 2.3546036445699768e-05,
260
+ "loss": 0.6757,
261
+ "step": 9000
262
+ },
263
+ {
264
+ "epoch": 0.15937833833005963,
265
+ "grad_norm": 0.9054674506187439,
266
+ "learning_rate": 2.3465846494544707e-05,
267
+ "loss": 0.6751,
268
+ "step": 9250
269
+ },
270
+ {
271
+ "epoch": 0.1636858609876288,
272
+ "grad_norm": 61.813472747802734,
273
+ "learning_rate": 2.3383648350677484e-05,
274
+ "loss": 0.6874,
275
+ "step": 9500
276
+ },
277
+ {
278
+ "epoch": 0.16799338364519797,
279
+ "grad_norm": NaN,
280
+ "learning_rate": 2.3299457067173435e-05,
281
+ "loss": 0.694,
282
+ "step": 9750
283
+ },
284
+ {
285
+ "epoch": 0.17230090630276715,
286
+ "grad_norm": NaN,
287
+ "learning_rate": 2.321328806211471e-05,
288
+ "loss": 0.2783,
289
+ "step": 10000
290
+ },
291
+ {
292
+ "epoch": 0.17230090630276715,
293
+ "eval_loss": NaN,
294
+ "eval_runtime": 23846.4172,
295
+ "eval_samples_per_second": 5.215,
296
+ "eval_steps_per_second": 0.522,
297
+ "step": 10000
298
+ }
299
+ ],
300
+ "logging_steps": 250,
301
+ "max_steps": 58038,
302
+ "num_input_tokens_seen": 0,
303
+ "num_train_epochs": 1,
304
+ "save_steps": 5000,
305
+ "stateful_callbacks": {
306
+ "TrainerControl": {
307
+ "args": {
308
+ "should_epoch_stop": false,
309
+ "should_evaluate": false,
310
+ "should_log": false,
311
+ "should_save": true,
312
+ "should_training_stop": false
313
+ },
314
+ "attributes": {}
315
+ }
316
+ },
317
+ "total_flos": 4.94679407529984e+17,
318
+ "train_batch_size": 10,
319
+ "trial_name": null,
320
+ "trial_params": null
321
+ }
checkpoint-10000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24d7a7a251761e255f6bedff7b9574903bc57679a072ffc2d734a96acf1eec2a
3
+ size 5176
checkpoint-15000/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-Instruct-v0.3
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 0.12.1.dev0
checkpoint-15000/adapter_config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
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": 0.1,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "v_proj",
24
+ "q_proj",
25
+ "o_proj",
26
+ "k_proj"
27
+ ],
28
+ "task_type": "CAUSAL_LM",
29
+ "use_dora": false,
30
+ "use_rslora": false
31
+ }
checkpoint-15000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88f8382c39f31529eae6cff17b42872b6702cb97606fe66f186d9bb1a909218f
3
+ size 218138576
checkpoint-15000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb3a9d9a10ddfbbefe2695a1b4d620a14e3eb105c2bdf55c20571fca35a5cfcf
3
+ size 109573654
checkpoint-15000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdca9506f960dd8d65c244fefe800042cbaafab042672671f1afd765d2171855
3
+ size 14244
checkpoint-15000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d1284c66fac3bcdcf005329877e2cd7b120264617b070252a8e58981fa8655a
3
+ size 1064
checkpoint-15000/trainer_state.json ADDED
@@ -0,0 +1,461 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.2584513594541507,
5
+ "eval_steps": 10000,
6
+ "global_step": 15000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.004307522657569179,
13
+ "grad_norm": 0.4925552308559418,
14
+ "learning_rate": 2.4998864565799097e-05,
15
+ "loss": 0.9861,
16
+ "step": 250
17
+ },
18
+ {
19
+ "epoch": 0.008615045315138358,
20
+ "grad_norm": 0.9346778988838196,
21
+ "learning_rate": 2.4995440213189432e-05,
22
+ "loss": 0.8053,
23
+ "step": 500
24
+ },
25
+ {
26
+ "epoch": 0.012922567972707537,
27
+ "grad_norm": 0.9080485701560974,
28
+ "learning_rate": 2.498972755096465e-05,
29
+ "loss": 0.778,
30
+ "step": 750
31
+ },
32
+ {
33
+ "epoch": 0.017230090630276716,
34
+ "grad_norm": 0.8981316685676575,
35
+ "learning_rate": 2.498172762529356e-05,
36
+ "loss": 0.7423,
37
+ "step": 1000
38
+ },
39
+ {
40
+ "epoch": 0.021537613287845894,
41
+ "grad_norm": 0.8113252520561218,
42
+ "learning_rate": 2.4971441901215136e-05,
43
+ "loss": 0.7344,
44
+ "step": 1250
45
+ },
46
+ {
47
+ "epoch": 0.025845135945415074,
48
+ "grad_norm": 0.7558934688568115,
49
+ "learning_rate": 2.4958872262370206e-05,
50
+ "loss": 0.7288,
51
+ "step": 1500
52
+ },
53
+ {
54
+ "epoch": 0.03015265860298425,
55
+ "grad_norm": 0.9201549887657166,
56
+ "learning_rate": 2.4944021010656492e-05,
57
+ "loss": 0.725,
58
+ "step": 1750
59
+ },
60
+ {
61
+ "epoch": 0.03446018126055343,
62
+ "grad_norm": 0.7769947648048401,
63
+ "learning_rate": 2.4926890865807073e-05,
64
+ "loss": 0.7205,
65
+ "step": 2000
66
+ },
67
+ {
68
+ "epoch": 0.038767703918122606,
69
+ "grad_norm": 0.9018628597259521,
70
+ "learning_rate": 2.4907484964892315e-05,
71
+ "loss": 0.7156,
72
+ "step": 2250
73
+ },
74
+ {
75
+ "epoch": 0.04307522657569179,
76
+ "grad_norm": 0.8375287055969238,
77
+ "learning_rate": 2.4885806861745365e-05,
78
+ "loss": 0.7137,
79
+ "step": 2500
80
+ },
81
+ {
82
+ "epoch": 0.04738274923326097,
83
+ "grad_norm": 0.9508460760116577,
84
+ "learning_rate": 2.4861860526311346e-05,
85
+ "loss": 0.7101,
86
+ "step": 2750
87
+ },
88
+ {
89
+ "epoch": 0.05169027189083015,
90
+ "grad_norm": 0.8501839637756348,
91
+ "learning_rate": 2.4835650343920313e-05,
92
+ "loss": 0.7105,
93
+ "step": 3000
94
+ },
95
+ {
96
+ "epoch": 0.05599779454839932,
97
+ "grad_norm": 0.9571662545204163,
98
+ "learning_rate": 2.480718111448419e-05,
99
+ "loss": 0.7056,
100
+ "step": 3250
101
+ },
102
+ {
103
+ "epoch": 0.0603053172059685,
104
+ "grad_norm": 0.9728882312774658,
105
+ "learning_rate": 2.4776458051617728e-05,
106
+ "loss": 0.7051,
107
+ "step": 3500
108
+ },
109
+ {
110
+ "epoch": 0.06461283986353768,
111
+ "grad_norm": 0.8361214995384216,
112
+ "learning_rate": 2.4743486781683745e-05,
113
+ "loss": 0.7076,
114
+ "step": 3750
115
+ },
116
+ {
117
+ "epoch": 0.06892036252110686,
118
+ "grad_norm": 0.8233757615089417,
119
+ "learning_rate": 2.4708273342762746e-05,
120
+ "loss": 0.7011,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 0.07322788517867604,
125
+ "grad_norm": 0.883545994758606,
126
+ "learning_rate": 2.467082418354717e-05,
127
+ "loss": 0.6976,
128
+ "step": 4250
129
+ },
130
+ {
131
+ "epoch": 0.07753540783624521,
132
+ "grad_norm": 0.7400261759757996,
133
+ "learning_rate": 2.463114616216044e-05,
134
+ "loss": 0.6992,
135
+ "step": 4500
136
+ },
137
+ {
138
+ "epoch": 0.0818429304938144,
139
+ "grad_norm": 0.8324729204177856,
140
+ "learning_rate": 2.4589246544901002e-05,
141
+ "loss": 0.6964,
142
+ "step": 4750
143
+ },
144
+ {
145
+ "epoch": 0.08615045315138357,
146
+ "grad_norm": 0.7931947112083435,
147
+ "learning_rate": 2.4545133004911653e-05,
148
+ "loss": 0.697,
149
+ "step": 5000
150
+ },
151
+ {
152
+ "epoch": 0.09045797580895276,
153
+ "grad_norm": 1.0109580755233765,
154
+ "learning_rate": 2.4498813620774335e-05,
155
+ "loss": 0.6984,
156
+ "step": 5250
157
+ },
158
+ {
159
+ "epoch": 0.09476549846652194,
160
+ "grad_norm": 0.8544988632202148,
161
+ "learning_rate": 2.4450296875030704e-05,
162
+ "loss": 0.6924,
163
+ "step": 5500
164
+ },
165
+ {
166
+ "epoch": 0.09907302112409111,
167
+ "grad_norm": 0.7610718011856079,
168
+ "learning_rate": 2.4399591652628703e-05,
169
+ "loss": 0.6899,
170
+ "step": 5750
171
+ },
172
+ {
173
+ "epoch": 0.1033805437816603,
174
+ "grad_norm": 0.7059574723243713,
175
+ "learning_rate": 2.434670723929544e-05,
176
+ "loss": 0.6913,
177
+ "step": 6000
178
+ },
179
+ {
180
+ "epoch": 0.10768806643922947,
181
+ "grad_norm": 0.8259685635566711,
182
+ "learning_rate": 2.4291653319836688e-05,
183
+ "loss": 0.6909,
184
+ "step": 6250
185
+ },
186
+ {
187
+ "epoch": 0.11199558909679865,
188
+ "grad_norm": 0.7509642839431763,
189
+ "learning_rate": 2.423443997636329e-05,
190
+ "loss": 0.687,
191
+ "step": 6500
192
+ },
193
+ {
194
+ "epoch": 0.11630311175436783,
195
+ "grad_norm": 0.8483273386955261,
196
+ "learning_rate": 2.4175077686444806e-05,
197
+ "loss": 0.6853,
198
+ "step": 6750
199
+ },
200
+ {
201
+ "epoch": 0.120610634411937,
202
+ "grad_norm": 0.8091647028923035,
203
+ "learning_rate": 2.411357732119073e-05,
204
+ "loss": 0.6873,
205
+ "step": 7000
206
+ },
207
+ {
208
+ "epoch": 0.12491815706950618,
209
+ "grad_norm": 0.8299710750579834,
210
+ "learning_rate": 2.4049950143259663e-05,
211
+ "loss": 0.6858,
212
+ "step": 7250
213
+ },
214
+ {
215
+ "epoch": 0.12922567972707535,
216
+ "grad_norm": 0.7714266777038574,
217
+ "learning_rate": 2.398420780479675e-05,
218
+ "loss": 0.6827,
219
+ "step": 7500
220
+ },
221
+ {
222
+ "epoch": 0.13353320238464456,
223
+ "grad_norm": 0.7820263504981995,
224
+ "learning_rate": 2.3916362345299814e-05,
225
+ "loss": 0.6822,
226
+ "step": 7750
227
+ },
228
+ {
229
+ "epoch": 0.13784072504221373,
230
+ "grad_norm": 0.7763279676437378,
231
+ "learning_rate": 2.3846426189414538e-05,
232
+ "loss": 0.6809,
233
+ "step": 8000
234
+ },
235
+ {
236
+ "epoch": 0.1421482476997829,
237
+ "grad_norm": 0.7766652703285217,
238
+ "learning_rate": 2.3774412144659126e-05,
239
+ "loss": 0.6777,
240
+ "step": 8250
241
+ },
242
+ {
243
+ "epoch": 0.14645577035735208,
244
+ "grad_norm": 0.6801514029502869,
245
+ "learning_rate": 2.370033339907883e-05,
246
+ "loss": 0.6782,
247
+ "step": 8500
248
+ },
249
+ {
250
+ "epoch": 0.15076329301492125,
251
+ "grad_norm": 0.8070161938667297,
252
+ "learning_rate": 2.3624203518830812e-05,
253
+ "loss": 0.6758,
254
+ "step": 8750
255
+ },
256
+ {
257
+ "epoch": 0.15507081567249043,
258
+ "grad_norm": 0.7602735757827759,
259
+ "learning_rate": 2.3546036445699768e-05,
260
+ "loss": 0.6757,
261
+ "step": 9000
262
+ },
263
+ {
264
+ "epoch": 0.15937833833005963,
265
+ "grad_norm": 0.9054674506187439,
266
+ "learning_rate": 2.3465846494544707e-05,
267
+ "loss": 0.6751,
268
+ "step": 9250
269
+ },
270
+ {
271
+ "epoch": 0.1636858609876288,
272
+ "grad_norm": 61.813472747802734,
273
+ "learning_rate": 2.3383648350677484e-05,
274
+ "loss": 0.6874,
275
+ "step": 9500
276
+ },
277
+ {
278
+ "epoch": 0.16799338364519797,
279
+ "grad_norm": NaN,
280
+ "learning_rate": 2.3299457067173435e-05,
281
+ "loss": 0.694,
282
+ "step": 9750
283
+ },
284
+ {
285
+ "epoch": 0.17230090630276715,
286
+ "grad_norm": NaN,
287
+ "learning_rate": 2.321328806211471e-05,
288
+ "loss": 0.2783,
289
+ "step": 10000
290
+ },
291
+ {
292
+ "epoch": 0.17230090630276715,
293
+ "eval_loss": NaN,
294
+ "eval_runtime": 23846.4172,
295
+ "eval_samples_per_second": 5.215,
296
+ "eval_steps_per_second": 0.522,
297
+ "step": 10000
298
+ },
299
+ {
300
+ "epoch": 0.17660842896033632,
301
+ "grad_norm": NaN,
302
+ "learning_rate": 2.3125157115766692e-05,
303
+ "loss": 0.3376,
304
+ "step": 10250
305
+ },
306
+ {
307
+ "epoch": 0.18091595161790552,
308
+ "grad_norm": NaN,
309
+ "learning_rate": 2.3035080367688184e-05,
310
+ "loss": 0.1085,
311
+ "step": 10500
312
+ },
313
+ {
314
+ "epoch": 0.1852234742754747,
315
+ "grad_norm": NaN,
316
+ "learning_rate": 2.294307431377569e-05,
317
+ "loss": 0.1951,
318
+ "step": 10750
319
+ },
320
+ {
321
+ "epoch": 0.18953099693304387,
322
+ "grad_norm": NaN,
323
+ "learning_rate": 2.2849155803242555e-05,
324
+ "loss": 0.329,
325
+ "step": 11000
326
+ },
327
+ {
328
+ "epoch": 0.19383851959061305,
329
+ "grad_norm": NaN,
330
+ "learning_rate": 2.2753342035533286e-05,
331
+ "loss": 0.2104,
332
+ "step": 11250
333
+ },
334
+ {
335
+ "epoch": 0.19814604224818222,
336
+ "grad_norm": NaN,
337
+ "learning_rate": 2.265565055717384e-05,
338
+ "loss": 0.2739,
339
+ "step": 11500
340
+ },
341
+ {
342
+ "epoch": 0.2024535649057514,
343
+ "grad_norm": NaN,
344
+ "learning_rate": 2.255609925855826e-05,
345
+ "loss": 0.3571,
346
+ "step": 11750
347
+ },
348
+ {
349
+ "epoch": 0.2067610875633206,
350
+ "grad_norm": NaN,
351
+ "learning_rate": 2.2454706370672406e-05,
352
+ "loss": 0.1438,
353
+ "step": 12000
354
+ },
355
+ {
356
+ "epoch": 0.21106861022088977,
357
+ "grad_norm": NaN,
358
+ "learning_rate": 2.2351490461755282e-05,
359
+ "loss": 0.2218,
360
+ "step": 12250
361
+ },
362
+ {
363
+ "epoch": 0.21537613287845894,
364
+ "grad_norm": NaN,
365
+ "learning_rate": 2.224647043389858e-05,
366
+ "loss": 0.313,
367
+ "step": 12500
368
+ },
369
+ {
370
+ "epoch": 0.21968365553602812,
371
+ "grad_norm": NaN,
372
+ "learning_rate": 2.2139665519585153e-05,
373
+ "loss": 0.2029,
374
+ "step": 12750
375
+ },
376
+ {
377
+ "epoch": 0.2239911781935973,
378
+ "grad_norm": NaN,
379
+ "learning_rate": 2.2031095278166907e-05,
380
+ "loss": 0.2838,
381
+ "step": 13000
382
+ },
383
+ {
384
+ "epoch": 0.22829870085116646,
385
+ "grad_norm": NaN,
386
+ "learning_rate": 2.1920779592282877e-05,
387
+ "loss": 0.1918,
388
+ "step": 13250
389
+ },
390
+ {
391
+ "epoch": 0.23260622350873567,
392
+ "grad_norm": NaN,
393
+ "learning_rate": 2.180873866421809e-05,
394
+ "loss": 0.2968,
395
+ "step": 13500
396
+ },
397
+ {
398
+ "epoch": 0.23691374616630484,
399
+ "grad_norm": NaN,
400
+ "learning_rate": 2.1694993012203884e-05,
401
+ "loss": 0.4669,
402
+ "step": 13750
403
+ },
404
+ {
405
+ "epoch": 0.241221268823874,
406
+ "grad_norm": NaN,
407
+ "learning_rate": 2.1579563466660373e-05,
408
+ "loss": 0.2517,
409
+ "step": 14000
410
+ },
411
+ {
412
+ "epoch": 0.2455287914814432,
413
+ "grad_norm": NaN,
414
+ "learning_rate": 2.1462471166381747e-05,
415
+ "loss": 0.2358,
416
+ "step": 14250
417
+ },
418
+ {
419
+ "epoch": 0.24983631413901236,
420
+ "grad_norm": NaN,
421
+ "learning_rate": 2.134373755466508e-05,
422
+ "loss": 0.201,
423
+ "step": 14500
424
+ },
425
+ {
426
+ "epoch": 0.25414383679658153,
427
+ "grad_norm": NaN,
428
+ "learning_rate": 2.1223384375383393e-05,
429
+ "loss": 0.2276,
430
+ "step": 14750
431
+ },
432
+ {
433
+ "epoch": 0.2584513594541507,
434
+ "grad_norm": NaN,
435
+ "learning_rate": 2.1101433669003662e-05,
436
+ "loss": 0.5012,
437
+ "step": 15000
438
+ }
439
+ ],
440
+ "logging_steps": 250,
441
+ "max_steps": 58038,
442
+ "num_input_tokens_seen": 0,
443
+ "num_train_epochs": 1,
444
+ "save_steps": 5000,
445
+ "stateful_callbacks": {
446
+ "TrainerControl": {
447
+ "args": {
448
+ "should_epoch_stop": false,
449
+ "should_evaluate": false,
450
+ "should_log": false,
451
+ "should_save": true,
452
+ "should_training_stop": false
453
+ },
454
+ "attributes": {}
455
+ }
456
+ },
457
+ "total_flos": 7.41990724701143e+17,
458
+ "train_batch_size": 10,
459
+ "trial_name": null,
460
+ "trial_params": null
461
+ }
checkpoint-15000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24d7a7a251761e255f6bedff7b9574903bc57679a072ffc2d734a96acf1eec2a
3
+ size 5176