DinaYatsuk commited on
Commit
b64d9b6
1 Parent(s): 677a234

Upload 8 files

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: ai-forever/rugpt3large_based_on_gpt2
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 0.11.2.dev0
adapter_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "ai-forever/rugpt3large_based_on_gpt2",
5
+ "bias": "none",
6
+ "fan_in_fan_out": true,
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": 32,
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": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "c_attn"
24
+ ],
25
+ "task_type": "CAUSAL_LM",
26
+ "use_dora": false,
27
+ "use_rslora": false
28
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5015cb7785c675dc62a612b1b0aefc1abc5cd1f91c1f1e46805912eafd9d5c4
3
+ size 9443384
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f19991074666927d0aad8f51fbff4a794d1f2e6cc8b86ca416835a941e84f4fe
3
+ size 18915130
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:14abd2bab083d33cd65f398b27cc206c3d8d907f45be214799ceada04283d199
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:65966d3b389c0401c28463bf4ef4b1ab7eec98856f077db3d23a5b40869179f1
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,598 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 2.145188093185425,
3
+ "best_model_checkpoint": "/content/working/models/checkpoint-3750",
4
+ "epoch": 4.8475055544334475,
5
+ "eval_steps": 750,
6
+ "global_step": 3750,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.06463340739244597,
13
+ "grad_norm": 0.06091862916946411,
14
+ "learning_rate": 5e-05,
15
+ "loss": 2.5923,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.12926681478489194,
20
+ "grad_norm": 0.08663396537303925,
21
+ "learning_rate": 0.0001,
22
+ "loss": 2.51,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.1939002221773379,
27
+ "grad_norm": 0.12191956490278244,
28
+ "learning_rate": 9.867197875166003e-05,
29
+ "loss": 2.4241,
30
+ "step": 150
31
+ },
32
+ {
33
+ "epoch": 0.2585336295697839,
34
+ "grad_norm": 0.1454772800207138,
35
+ "learning_rate": 9.734395750332006e-05,
36
+ "loss": 2.3631,
37
+ "step": 200
38
+ },
39
+ {
40
+ "epoch": 0.32316703696222987,
41
+ "grad_norm": 0.15225572884082794,
42
+ "learning_rate": 9.601593625498009e-05,
43
+ "loss": 2.3231,
44
+ "step": 250
45
+ },
46
+ {
47
+ "epoch": 0.3878004443546758,
48
+ "grad_norm": 0.20414011180400848,
49
+ "learning_rate": 9.468791500664011e-05,
50
+ "loss": 2.3052,
51
+ "step": 300
52
+ },
53
+ {
54
+ "epoch": 0.4524338517471218,
55
+ "grad_norm": 0.14269402623176575,
56
+ "learning_rate": 9.335989375830013e-05,
57
+ "loss": 2.3173,
58
+ "step": 350
59
+ },
60
+ {
61
+ "epoch": 0.5170672591395677,
62
+ "grad_norm": 0.1620974987745285,
63
+ "learning_rate": 9.203187250996016e-05,
64
+ "loss": 2.3082,
65
+ "step": 400
66
+ },
67
+ {
68
+ "epoch": 0.5817006665320137,
69
+ "grad_norm": 0.17254067957401276,
70
+ "learning_rate": 9.070385126162018e-05,
71
+ "loss": 2.2901,
72
+ "step": 450
73
+ },
74
+ {
75
+ "epoch": 0.6463340739244597,
76
+ "grad_norm": 0.17900939285755157,
77
+ "learning_rate": 8.937583001328021e-05,
78
+ "loss": 2.2697,
79
+ "step": 500
80
+ },
81
+ {
82
+ "epoch": 0.7109674813169057,
83
+ "grad_norm": 0.18225091695785522,
84
+ "learning_rate": 8.804780876494024e-05,
85
+ "loss": 2.2775,
86
+ "step": 550
87
+ },
88
+ {
89
+ "epoch": 0.7756008887093516,
90
+ "grad_norm": 0.19103792309761047,
91
+ "learning_rate": 8.671978751660027e-05,
92
+ "loss": 2.285,
93
+ "step": 600
94
+ },
95
+ {
96
+ "epoch": 0.8402342961017976,
97
+ "grad_norm": 0.18991926312446594,
98
+ "learning_rate": 8.539176626826029e-05,
99
+ "loss": 2.2732,
100
+ "step": 650
101
+ },
102
+ {
103
+ "epoch": 0.9048677034942436,
104
+ "grad_norm": 0.19260592758655548,
105
+ "learning_rate": 8.406374501992032e-05,
106
+ "loss": 2.2706,
107
+ "step": 700
108
+ },
109
+ {
110
+ "epoch": 0.9695011108866896,
111
+ "grad_norm": 0.2015322744846344,
112
+ "learning_rate": 8.273572377158035e-05,
113
+ "loss": 2.2757,
114
+ "step": 750
115
+ },
116
+ {
117
+ "epoch": 0.9695011108866896,
118
+ "eval_loss": 2.1990480422973633,
119
+ "eval_runtime": 668.7494,
120
+ "eval_samples_per_second": 12.329,
121
+ "eval_steps_per_second": 12.329,
122
+ "step": 750
123
+ },
124
+ {
125
+ "epoch": 1.0341345182791355,
126
+ "grad_norm": 0.2102416753768921,
127
+ "learning_rate": 8.140770252324038e-05,
128
+ "loss": 2.2683,
129
+ "step": 800
130
+ },
131
+ {
132
+ "epoch": 1.0987679256715814,
133
+ "grad_norm": 0.2448854297399521,
134
+ "learning_rate": 8.00796812749004e-05,
135
+ "loss": 2.2509,
136
+ "step": 850
137
+ },
138
+ {
139
+ "epoch": 1.1634013330640274,
140
+ "grad_norm": 0.19221533834934235,
141
+ "learning_rate": 7.875166002656043e-05,
142
+ "loss": 2.2675,
143
+ "step": 900
144
+ },
145
+ {
146
+ "epoch": 1.2280347404564735,
147
+ "grad_norm": 0.20851700007915497,
148
+ "learning_rate": 7.742363877822046e-05,
149
+ "loss": 2.2595,
150
+ "step": 950
151
+ },
152
+ {
153
+ "epoch": 1.2926681478489195,
154
+ "grad_norm": 0.2272697389125824,
155
+ "learning_rate": 7.609561752988048e-05,
156
+ "loss": 2.2552,
157
+ "step": 1000
158
+ },
159
+ {
160
+ "epoch": 1.3573015552413654,
161
+ "grad_norm": 0.24437403678894043,
162
+ "learning_rate": 7.476759628154051e-05,
163
+ "loss": 2.2545,
164
+ "step": 1050
165
+ },
166
+ {
167
+ "epoch": 1.4219349626338114,
168
+ "grad_norm": 0.18688540160655975,
169
+ "learning_rate": 7.343957503320054e-05,
170
+ "loss": 2.2611,
171
+ "step": 1100
172
+ },
173
+ {
174
+ "epoch": 1.4865683700262573,
175
+ "grad_norm": 0.25209754705429077,
176
+ "learning_rate": 7.211155378486057e-05,
177
+ "loss": 2.2444,
178
+ "step": 1150
179
+ },
180
+ {
181
+ "epoch": 1.5512017774187032,
182
+ "grad_norm": 0.26226118206977844,
183
+ "learning_rate": 7.07835325365206e-05,
184
+ "loss": 2.2491,
185
+ "step": 1200
186
+ },
187
+ {
188
+ "epoch": 1.6158351848111492,
189
+ "grad_norm": 0.19100286066532135,
190
+ "learning_rate": 6.945551128818062e-05,
191
+ "loss": 2.2401,
192
+ "step": 1250
193
+ },
194
+ {
195
+ "epoch": 1.6804685922035953,
196
+ "grad_norm": 0.24590526521205902,
197
+ "learning_rate": 6.812749003984064e-05,
198
+ "loss": 2.238,
199
+ "step": 1300
200
+ },
201
+ {
202
+ "epoch": 1.745101999596041,
203
+ "grad_norm": 0.20657116174697876,
204
+ "learning_rate": 6.679946879150066e-05,
205
+ "loss": 2.2481,
206
+ "step": 1350
207
+ },
208
+ {
209
+ "epoch": 1.8097354069884872,
210
+ "grad_norm": 0.2326170951128006,
211
+ "learning_rate": 6.547144754316069e-05,
212
+ "loss": 2.2503,
213
+ "step": 1400
214
+ },
215
+ {
216
+ "epoch": 1.8743688143809332,
217
+ "grad_norm": 0.192840114235878,
218
+ "learning_rate": 6.414342629482072e-05,
219
+ "loss": 2.2438,
220
+ "step": 1450
221
+ },
222
+ {
223
+ "epoch": 1.939002221773379,
224
+ "grad_norm": 0.2151508778333664,
225
+ "learning_rate": 6.281540504648075e-05,
226
+ "loss": 2.2364,
227
+ "step": 1500
228
+ },
229
+ {
230
+ "epoch": 1.939002221773379,
231
+ "eval_loss": 2.171081304550171,
232
+ "eval_runtime": 669.7809,
233
+ "eval_samples_per_second": 12.31,
234
+ "eval_steps_per_second": 12.31,
235
+ "step": 1500
236
+ },
237
+ {
238
+ "epoch": 2.0036356291658253,
239
+ "grad_norm": 0.23874713480472565,
240
+ "learning_rate": 6.148738379814077e-05,
241
+ "loss": 2.2375,
242
+ "step": 1550
243
+ },
244
+ {
245
+ "epoch": 2.068269036558271,
246
+ "grad_norm": 0.23924137651920319,
247
+ "learning_rate": 6.01593625498008e-05,
248
+ "loss": 2.234,
249
+ "step": 1600
250
+ },
251
+ {
252
+ "epoch": 2.132902443950717,
253
+ "grad_norm": 0.24824275076389313,
254
+ "learning_rate": 5.883134130146083e-05,
255
+ "loss": 2.2261,
256
+ "step": 1650
257
+ },
258
+ {
259
+ "epoch": 2.197535851343163,
260
+ "grad_norm": 0.26141875982284546,
261
+ "learning_rate": 5.7503320053120855e-05,
262
+ "loss": 2.2319,
263
+ "step": 1700
264
+ },
265
+ {
266
+ "epoch": 2.262169258735609,
267
+ "grad_norm": 0.23786722123622894,
268
+ "learning_rate": 5.6175298804780876e-05,
269
+ "loss": 2.2351,
270
+ "step": 1750
271
+ },
272
+ {
273
+ "epoch": 2.3268026661280548,
274
+ "grad_norm": 0.22672909498214722,
275
+ "learning_rate": 5.48472775564409e-05,
276
+ "loss": 2.2194,
277
+ "step": 1800
278
+ },
279
+ {
280
+ "epoch": 2.391436073520501,
281
+ "grad_norm": 0.2062198519706726,
282
+ "learning_rate": 5.351925630810093e-05,
283
+ "loss": 2.2284,
284
+ "step": 1850
285
+ },
286
+ {
287
+ "epoch": 2.456069480912947,
288
+ "grad_norm": 0.2124897688627243,
289
+ "learning_rate": 5.219123505976096e-05,
290
+ "loss": 2.2472,
291
+ "step": 1900
292
+ },
293
+ {
294
+ "epoch": 2.520702888305393,
295
+ "grad_norm": 0.24128706753253937,
296
+ "learning_rate": 5.0863213811420985e-05,
297
+ "loss": 2.2264,
298
+ "step": 1950
299
+ },
300
+ {
301
+ "epoch": 2.585336295697839,
302
+ "grad_norm": 0.22971104085445404,
303
+ "learning_rate": 4.953519256308101e-05,
304
+ "loss": 2.2134,
305
+ "step": 2000
306
+ },
307
+ {
308
+ "epoch": 2.6499697030902847,
309
+ "grad_norm": 0.22065037488937378,
310
+ "learning_rate": 4.820717131474104e-05,
311
+ "loss": 2.2328,
312
+ "step": 2050
313
+ },
314
+ {
315
+ "epoch": 2.714603110482731,
316
+ "grad_norm": 0.2271411418914795,
317
+ "learning_rate": 4.687915006640107e-05,
318
+ "loss": 2.2252,
319
+ "step": 2100
320
+ },
321
+ {
322
+ "epoch": 2.7792365178751766,
323
+ "grad_norm": 0.2558536231517792,
324
+ "learning_rate": 4.555112881806109e-05,
325
+ "loss": 2.2324,
326
+ "step": 2150
327
+ },
328
+ {
329
+ "epoch": 2.8438699252676227,
330
+ "grad_norm": 0.23957061767578125,
331
+ "learning_rate": 4.4223107569721116e-05,
332
+ "loss": 2.2209,
333
+ "step": 2200
334
+ },
335
+ {
336
+ "epoch": 2.908503332660069,
337
+ "grad_norm": 0.26163169741630554,
338
+ "learning_rate": 4.289508632138114e-05,
339
+ "loss": 2.2172,
340
+ "step": 2250
341
+ },
342
+ {
343
+ "epoch": 2.908503332660069,
344
+ "eval_loss": 2.156771183013916,
345
+ "eval_runtime": 668.1763,
346
+ "eval_samples_per_second": 12.34,
347
+ "eval_steps_per_second": 12.34,
348
+ "step": 2250
349
+ },
350
+ {
351
+ "epoch": 2.9731367400525146,
352
+ "grad_norm": 0.26465606689453125,
353
+ "learning_rate": 4.156706507304117e-05,
354
+ "loss": 2.2313,
355
+ "step": 2300
356
+ },
357
+ {
358
+ "epoch": 3.0377701474449608,
359
+ "grad_norm": 0.22578325867652893,
360
+ "learning_rate": 4.02390438247012e-05,
361
+ "loss": 2.2253,
362
+ "step": 2350
363
+ },
364
+ {
365
+ "epoch": 3.1024035548374065,
366
+ "grad_norm": 0.23404210805892944,
367
+ "learning_rate": 3.8911022576361225e-05,
368
+ "loss": 2.2121,
369
+ "step": 2400
370
+ },
371
+ {
372
+ "epoch": 3.1670369622298526,
373
+ "grad_norm": 0.2838682532310486,
374
+ "learning_rate": 3.758300132802125e-05,
375
+ "loss": 2.2218,
376
+ "step": 2450
377
+ },
378
+ {
379
+ "epoch": 3.2316703696222984,
380
+ "grad_norm": 0.310476690530777,
381
+ "learning_rate": 3.625498007968128e-05,
382
+ "loss": 2.2159,
383
+ "step": 2500
384
+ },
385
+ {
386
+ "epoch": 3.2963037770147445,
387
+ "grad_norm": 0.22608056664466858,
388
+ "learning_rate": 3.492695883134131e-05,
389
+ "loss": 2.2157,
390
+ "step": 2550
391
+ },
392
+ {
393
+ "epoch": 3.3609371844071907,
394
+ "grad_norm": 0.23135437071323395,
395
+ "learning_rate": 3.359893758300133e-05,
396
+ "loss": 2.2255,
397
+ "step": 2600
398
+ },
399
+ {
400
+ "epoch": 3.4255705917996364,
401
+ "grad_norm": 0.23839163780212402,
402
+ "learning_rate": 3.2270916334661356e-05,
403
+ "loss": 2.2223,
404
+ "step": 2650
405
+ },
406
+ {
407
+ "epoch": 3.4902039991920826,
408
+ "grad_norm": 0.24394294619560242,
409
+ "learning_rate": 3.094289508632138e-05,
410
+ "loss": 2.2199,
411
+ "step": 2700
412
+ },
413
+ {
414
+ "epoch": 3.5548374065845283,
415
+ "grad_norm": 0.2429606020450592,
416
+ "learning_rate": 2.961487383798141e-05,
417
+ "loss": 2.2015,
418
+ "step": 2750
419
+ },
420
+ {
421
+ "epoch": 3.6194708139769745,
422
+ "grad_norm": 0.25373005867004395,
423
+ "learning_rate": 2.8286852589641438e-05,
424
+ "loss": 2.2152,
425
+ "step": 2800
426
+ },
427
+ {
428
+ "epoch": 3.68410422136942,
429
+ "grad_norm": 0.2572405934333801,
430
+ "learning_rate": 2.6958831341301462e-05,
431
+ "loss": 2.2133,
432
+ "step": 2850
433
+ },
434
+ {
435
+ "epoch": 3.7487376287618663,
436
+ "grad_norm": 0.2735884189605713,
437
+ "learning_rate": 2.563081009296149e-05,
438
+ "loss": 2.2171,
439
+ "step": 2900
440
+ },
441
+ {
442
+ "epoch": 3.8133710361543125,
443
+ "grad_norm": 0.24303478002548218,
444
+ "learning_rate": 2.4302788844621517e-05,
445
+ "loss": 2.206,
446
+ "step": 2950
447
+ },
448
+ {
449
+ "epoch": 3.878004443546758,
450
+ "grad_norm": 0.27165114879608154,
451
+ "learning_rate": 2.297476759628154e-05,
452
+ "loss": 2.2202,
453
+ "step": 3000
454
+ },
455
+ {
456
+ "epoch": 3.878004443546758,
457
+ "eval_loss": 2.148362398147583,
458
+ "eval_runtime": 668.4731,
459
+ "eval_samples_per_second": 12.334,
460
+ "eval_steps_per_second": 12.334,
461
+ "step": 3000
462
+ },
463
+ {
464
+ "epoch": 3.942637850939204,
465
+ "grad_norm": 0.2713201940059662,
466
+ "learning_rate": 2.1646746347941568e-05,
467
+ "loss": 2.2085,
468
+ "step": 3050
469
+ },
470
+ {
471
+ "epoch": 4.0072712583316505,
472
+ "grad_norm": 0.28700971603393555,
473
+ "learning_rate": 2.0318725099601595e-05,
474
+ "loss": 2.2154,
475
+ "step": 3100
476
+ },
477
+ {
478
+ "epoch": 4.071904665724096,
479
+ "grad_norm": 0.2836604714393616,
480
+ "learning_rate": 1.899070385126162e-05,
481
+ "loss": 2.2011,
482
+ "step": 3150
483
+ },
484
+ {
485
+ "epoch": 4.136538073116542,
486
+ "grad_norm": 0.26256245374679565,
487
+ "learning_rate": 1.7662682602921647e-05,
488
+ "loss": 2.2102,
489
+ "step": 3200
490
+ },
491
+ {
492
+ "epoch": 4.201171480508988,
493
+ "grad_norm": 0.2922552227973938,
494
+ "learning_rate": 1.6334661354581674e-05,
495
+ "loss": 2.1935,
496
+ "step": 3250
497
+ },
498
+ {
499
+ "epoch": 4.265804887901434,
500
+ "grad_norm": 0.26275578141212463,
501
+ "learning_rate": 1.5006640106241702e-05,
502
+ "loss": 2.209,
503
+ "step": 3300
504
+ },
505
+ {
506
+ "epoch": 4.33043829529388,
507
+ "grad_norm": 0.28638267517089844,
508
+ "learning_rate": 1.3678618857901726e-05,
509
+ "loss": 2.2105,
510
+ "step": 3350
511
+ },
512
+ {
513
+ "epoch": 4.395071702686326,
514
+ "grad_norm": 0.27328747510910034,
515
+ "learning_rate": 1.2350597609561753e-05,
516
+ "loss": 2.2171,
517
+ "step": 3400
518
+ },
519
+ {
520
+ "epoch": 4.459705110078772,
521
+ "grad_norm": 0.2329448014497757,
522
+ "learning_rate": 1.102257636122178e-05,
523
+ "loss": 2.2133,
524
+ "step": 3450
525
+ },
526
+ {
527
+ "epoch": 4.524338517471218,
528
+ "grad_norm": 0.24032790958881378,
529
+ "learning_rate": 9.694555112881806e-06,
530
+ "loss": 2.2225,
531
+ "step": 3500
532
+ },
533
+ {
534
+ "epoch": 4.588971924863664,
535
+ "grad_norm": 0.2536959648132324,
536
+ "learning_rate": 8.366533864541832e-06,
537
+ "loss": 2.2047,
538
+ "step": 3550
539
+ },
540
+ {
541
+ "epoch": 4.6536053322561095,
542
+ "grad_norm": 0.2353695183992386,
543
+ "learning_rate": 7.03851261620186e-06,
544
+ "loss": 2.2158,
545
+ "step": 3600
546
+ },
547
+ {
548
+ "epoch": 4.718238739648556,
549
+ "grad_norm": 0.23979786038398743,
550
+ "learning_rate": 5.710491367861886e-06,
551
+ "loss": 2.219,
552
+ "step": 3650
553
+ },
554
+ {
555
+ "epoch": 4.782872147041002,
556
+ "grad_norm": 0.2803194522857666,
557
+ "learning_rate": 4.382470119521913e-06,
558
+ "loss": 2.193,
559
+ "step": 3700
560
+ },
561
+ {
562
+ "epoch": 4.8475055544334475,
563
+ "grad_norm": 0.24206270277500153,
564
+ "learning_rate": 3.054448871181939e-06,
565
+ "loss": 2.2079,
566
+ "step": 3750
567
+ },
568
+ {
569
+ "epoch": 4.8475055544334475,
570
+ "eval_loss": 2.145188093185425,
571
+ "eval_runtime": 669.1927,
572
+ "eval_samples_per_second": 12.321,
573
+ "eval_steps_per_second": 12.321,
574
+ "step": 3750
575
+ }
576
+ ],
577
+ "logging_steps": 50,
578
+ "max_steps": 3865,
579
+ "num_input_tokens_seen": 0,
580
+ "num_train_epochs": 5,
581
+ "save_steps": 750,
582
+ "stateful_callbacks": {
583
+ "TrainerControl": {
584
+ "args": {
585
+ "should_epoch_stop": false,
586
+ "should_evaluate": false,
587
+ "should_log": false,
588
+ "should_save": true,
589
+ "should_training_stop": false
590
+ },
591
+ "attributes": {}
592
+ }
593
+ },
594
+ "total_flos": 3.3013315141632e+17,
595
+ "train_batch_size": 1,
596
+ "trial_name": null,
597
+ "trial_params": null
598
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1b28b2c99a8c99d13dba61f50cb0848f8567becfd12405448b3f12d25bf3eedc
3
+ size 5112