DinaYatsuk commited on
Commit
01b40e4
1 Parent(s): ecfa91e

Upload 8 files

Browse files
README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: ai-forever/rugpt3medium_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
+
201
+
202
+ ### Framework versions
203
+
204
+ - PEFT 0.10.1.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/rugpt3medium_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:f0996dc697dd4bc50d29f346e02af5046b2e56a55d07c032849dac53e5c23ea2
3
+ size 6297648
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5352cb00d62003a0b5e540912151e3a0a5cf2f99243fde1ef52927edd3d6f924
3
+ size 12623610
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e221173d974c3b5cf2a8cfb00d8b12817ac0a6bf7af107ab3a23e50430181969
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:73e1101ec5575a5e3eb879b1b5d1160b68fb829e3ba2db31c4f13a1cc5ee5a69
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,586 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 2.269272565841675,
3
+ "best_model_checkpoint": "/kaggle/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": 0.06,
13
+ "grad_norm": 0.10441142320632935,
14
+ "learning_rate": 5e-05,
15
+ "loss": 2.7397,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.13,
20
+ "grad_norm": 0.15981321036815643,
21
+ "learning_rate": 0.0001,
22
+ "loss": 2.6589,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.19,
27
+ "grad_norm": 0.20967262983322144,
28
+ "learning_rate": 9.889819303658e-05,
29
+ "loss": 2.5718,
30
+ "step": 150
31
+ },
32
+ {
33
+ "epoch": 0.26,
34
+ "grad_norm": 0.20717187225818634,
35
+ "learning_rate": 9.779638607315998e-05,
36
+ "loss": 2.5054,
37
+ "step": 200
38
+ },
39
+ {
40
+ "epoch": 0.32,
41
+ "grad_norm": 0.22402256727218628,
42
+ "learning_rate": 9.669457910973999e-05,
43
+ "loss": 2.4717,
44
+ "step": 250
45
+ },
46
+ {
47
+ "epoch": 0.39,
48
+ "grad_norm": 0.27481311559677124,
49
+ "learning_rate": 9.559277214631996e-05,
50
+ "loss": 2.4487,
51
+ "step": 300
52
+ },
53
+ {
54
+ "epoch": 0.45,
55
+ "grad_norm": 0.21997925639152527,
56
+ "learning_rate": 9.449096518289996e-05,
57
+ "loss": 2.4595,
58
+ "step": 350
59
+ },
60
+ {
61
+ "epoch": 0.52,
62
+ "grad_norm": 0.23128151893615723,
63
+ "learning_rate": 9.338915821947995e-05,
64
+ "loss": 2.4498,
65
+ "step": 400
66
+ },
67
+ {
68
+ "epoch": 0.58,
69
+ "grad_norm": 0.2886131703853607,
70
+ "learning_rate": 9.228735125605994e-05,
71
+ "loss": 2.4342,
72
+ "step": 450
73
+ },
74
+ {
75
+ "epoch": 0.65,
76
+ "grad_norm": 0.2664533257484436,
77
+ "learning_rate": 9.118554429263993e-05,
78
+ "loss": 2.41,
79
+ "step": 500
80
+ },
81
+ {
82
+ "epoch": 0.71,
83
+ "grad_norm": 0.2600548267364502,
84
+ "learning_rate": 9.008373732921994e-05,
85
+ "loss": 2.4136,
86
+ "step": 550
87
+ },
88
+ {
89
+ "epoch": 0.78,
90
+ "grad_norm": 0.2559927701950073,
91
+ "learning_rate": 8.898193036579991e-05,
92
+ "loss": 2.4235,
93
+ "step": 600
94
+ },
95
+ {
96
+ "epoch": 0.84,
97
+ "grad_norm": 0.2909291982650757,
98
+ "learning_rate": 8.788012340237991e-05,
99
+ "loss": 2.4128,
100
+ "step": 650
101
+ },
102
+ {
103
+ "epoch": 0.9,
104
+ "grad_norm": 0.3658187687397003,
105
+ "learning_rate": 8.677831643895989e-05,
106
+ "loss": 2.4026,
107
+ "step": 700
108
+ },
109
+ {
110
+ "epoch": 0.97,
111
+ "grad_norm": 0.2849361002445221,
112
+ "learning_rate": 8.567650947553989e-05,
113
+ "loss": 2.4121,
114
+ "step": 750
115
+ },
116
+ {
117
+ "epoch": 0.97,
118
+ "eval_loss": 2.3384921550750732,
119
+ "eval_runtime": 952.2726,
120
+ "eval_samples_per_second": 8.658,
121
+ "eval_steps_per_second": 8.658,
122
+ "step": 750
123
+ },
124
+ {
125
+ "epoch": 1.03,
126
+ "grad_norm": 0.28176233172416687,
127
+ "learning_rate": 8.457470251211988e-05,
128
+ "loss": 2.4043,
129
+ "step": 800
130
+ },
131
+ {
132
+ "epoch": 1.1,
133
+ "grad_norm": 0.3647988736629486,
134
+ "learning_rate": 8.347289554869987e-05,
135
+ "loss": 2.3877,
136
+ "step": 850
137
+ },
138
+ {
139
+ "epoch": 1.16,
140
+ "grad_norm": 0.2923799455165863,
141
+ "learning_rate": 8.237108858527986e-05,
142
+ "loss": 2.4004,
143
+ "step": 900
144
+ },
145
+ {
146
+ "epoch": 1.23,
147
+ "grad_norm": 0.2779831290245056,
148
+ "learning_rate": 8.126928162185985e-05,
149
+ "loss": 2.3928,
150
+ "step": 950
151
+ },
152
+ {
153
+ "epoch": 1.29,
154
+ "grad_norm": 0.29313695430755615,
155
+ "learning_rate": 8.016747465843984e-05,
156
+ "loss": 2.389,
157
+ "step": 1000
158
+ },
159
+ {
160
+ "epoch": 1.36,
161
+ "grad_norm": 0.31519418954849243,
162
+ "learning_rate": 7.906566769501984e-05,
163
+ "loss": 2.3865,
164
+ "step": 1050
165
+ },
166
+ {
167
+ "epoch": 1.42,
168
+ "grad_norm": 0.2636606693267822,
169
+ "learning_rate": 7.796386073159983e-05,
170
+ "loss": 2.3931,
171
+ "step": 1100
172
+ },
173
+ {
174
+ "epoch": 1.49,
175
+ "grad_norm": 0.33571264147758484,
176
+ "learning_rate": 7.686205376817982e-05,
177
+ "loss": 2.3772,
178
+ "step": 1150
179
+ },
180
+ {
181
+ "epoch": 1.55,
182
+ "grad_norm": 0.31720587611198425,
183
+ "learning_rate": 7.576024680475981e-05,
184
+ "loss": 2.3778,
185
+ "step": 1200
186
+ },
187
+ {
188
+ "epoch": 1.62,
189
+ "grad_norm": 0.2712741196155548,
190
+ "learning_rate": 7.46584398413398e-05,
191
+ "loss": 2.3711,
192
+ "step": 1250
193
+ },
194
+ {
195
+ "epoch": 1.68,
196
+ "grad_norm": 0.3407454192638397,
197
+ "learning_rate": 7.35566328779198e-05,
198
+ "loss": 2.3688,
199
+ "step": 1300
200
+ },
201
+ {
202
+ "epoch": 1.75,
203
+ "grad_norm": 0.27811819314956665,
204
+ "learning_rate": 7.245482591449978e-05,
205
+ "loss": 2.3761,
206
+ "step": 1350
207
+ },
208
+ {
209
+ "epoch": 1.81,
210
+ "grad_norm": 0.2932997941970825,
211
+ "learning_rate": 7.135301895107978e-05,
212
+ "loss": 2.385,
213
+ "step": 1400
214
+ },
215
+ {
216
+ "epoch": 1.87,
217
+ "grad_norm": 0.2541429102420807,
218
+ "learning_rate": 7.025121198765977e-05,
219
+ "loss": 2.374,
220
+ "step": 1450
221
+ },
222
+ {
223
+ "epoch": 1.94,
224
+ "grad_norm": 0.2891751527786255,
225
+ "learning_rate": 6.914940502423976e-05,
226
+ "loss": 2.3634,
227
+ "step": 1500
228
+ },
229
+ {
230
+ "epoch": 1.94,
231
+ "eval_loss": 2.3060712814331055,
232
+ "eval_runtime": 954.8022,
233
+ "eval_samples_per_second": 8.635,
234
+ "eval_steps_per_second": 8.635,
235
+ "step": 1500
236
+ },
237
+ {
238
+ "epoch": 2.0,
239
+ "grad_norm": 0.3406051695346832,
240
+ "learning_rate": 6.804759806081975e-05,
241
+ "loss": 2.3682,
242
+ "step": 1550
243
+ },
244
+ {
245
+ "epoch": 2.07,
246
+ "grad_norm": 0.2978401184082031,
247
+ "learning_rate": 6.694579109739974e-05,
248
+ "loss": 2.3646,
249
+ "step": 1600
250
+ },
251
+ {
252
+ "epoch": 2.13,
253
+ "grad_norm": 0.3196316361427307,
254
+ "learning_rate": 6.584398413397973e-05,
255
+ "loss": 2.3536,
256
+ "step": 1650
257
+ },
258
+ {
259
+ "epoch": 2.2,
260
+ "grad_norm": 0.3379887044429779,
261
+ "learning_rate": 6.474217717055973e-05,
262
+ "loss": 2.3637,
263
+ "step": 1700
264
+ },
265
+ {
266
+ "epoch": 2.26,
267
+ "grad_norm": 0.31465980410575867,
268
+ "learning_rate": 6.36403702071397e-05,
269
+ "loss": 2.3652,
270
+ "step": 1750
271
+ },
272
+ {
273
+ "epoch": 2.33,
274
+ "grad_norm": 0.28737229108810425,
275
+ "learning_rate": 6.253856324371971e-05,
276
+ "loss": 2.3477,
277
+ "step": 1800
278
+ },
279
+ {
280
+ "epoch": 2.39,
281
+ "grad_norm": 0.2794209420681,
282
+ "learning_rate": 6.14367562802997e-05,
283
+ "loss": 2.3557,
284
+ "step": 1850
285
+ },
286
+ {
287
+ "epoch": 2.46,
288
+ "grad_norm": 0.2747984230518341,
289
+ "learning_rate": 6.0334949316879686e-05,
290
+ "loss": 2.3772,
291
+ "step": 1900
292
+ },
293
+ {
294
+ "epoch": 2.52,
295
+ "grad_norm": 0.3119751811027527,
296
+ "learning_rate": 5.923314235345968e-05,
297
+ "loss": 2.3551,
298
+ "step": 1950
299
+ },
300
+ {
301
+ "epoch": 2.59,
302
+ "grad_norm": 0.2791976034641266,
303
+ "learning_rate": 5.8131335390039664e-05,
304
+ "loss": 2.3438,
305
+ "step": 2000
306
+ },
307
+ {
308
+ "epoch": 2.65,
309
+ "grad_norm": 0.2925887703895569,
310
+ "learning_rate": 5.702952842661966e-05,
311
+ "loss": 2.3584,
312
+ "step": 2050
313
+ },
314
+ {
315
+ "epoch": 2.71,
316
+ "grad_norm": 0.28244686126708984,
317
+ "learning_rate": 5.592772146319964e-05,
318
+ "loss": 2.352,
319
+ "step": 2100
320
+ },
321
+ {
322
+ "epoch": 2.78,
323
+ "grad_norm": 0.32431092858314514,
324
+ "learning_rate": 5.482591449977964e-05,
325
+ "loss": 2.3538,
326
+ "step": 2150
327
+ },
328
+ {
329
+ "epoch": 2.84,
330
+ "grad_norm": 0.3006184995174408,
331
+ "learning_rate": 5.3724107536359635e-05,
332
+ "loss": 2.3444,
333
+ "step": 2200
334
+ },
335
+ {
336
+ "epoch": 2.91,
337
+ "grad_norm": 0.33126187324523926,
338
+ "learning_rate": 5.262230057293962e-05,
339
+ "loss": 2.3428,
340
+ "step": 2250
341
+ },
342
+ {
343
+ "epoch": 2.91,
344
+ "eval_loss": 2.286065101623535,
345
+ "eval_runtime": 952.0984,
346
+ "eval_samples_per_second": 8.66,
347
+ "eval_steps_per_second": 8.66,
348
+ "step": 2250
349
+ },
350
+ {
351
+ "epoch": 2.97,
352
+ "grad_norm": 0.36009636521339417,
353
+ "learning_rate": 5.152049360951961e-05,
354
+ "loss": 2.357,
355
+ "step": 2300
356
+ },
357
+ {
358
+ "epoch": 3.04,
359
+ "grad_norm": 0.29686203598976135,
360
+ "learning_rate": 5.041868664609961e-05,
361
+ "loss": 2.3503,
362
+ "step": 2350
363
+ },
364
+ {
365
+ "epoch": 3.1,
366
+ "grad_norm": 0.343845397233963,
367
+ "learning_rate": 4.93168796826796e-05,
368
+ "loss": 2.341,
369
+ "step": 2400
370
+ },
371
+ {
372
+ "epoch": 3.17,
373
+ "grad_norm": 0.35624146461486816,
374
+ "learning_rate": 4.821507271925959e-05,
375
+ "loss": 2.3489,
376
+ "step": 2450
377
+ },
378
+ {
379
+ "epoch": 3.23,
380
+ "grad_norm": 0.39963939785957336,
381
+ "learning_rate": 4.7113265755839584e-05,
382
+ "loss": 2.3406,
383
+ "step": 2500
384
+ },
385
+ {
386
+ "epoch": 3.3,
387
+ "grad_norm": 0.31882843375205994,
388
+ "learning_rate": 4.601145879241957e-05,
389
+ "loss": 2.3426,
390
+ "step": 2550
391
+ },
392
+ {
393
+ "epoch": 3.36,
394
+ "grad_norm": 0.30565398931503296,
395
+ "learning_rate": 4.490965182899956e-05,
396
+ "loss": 2.3518,
397
+ "step": 2600
398
+ },
399
+ {
400
+ "epoch": 3.43,
401
+ "grad_norm": 0.3145510256290436,
402
+ "learning_rate": 4.380784486557955e-05,
403
+ "loss": 2.3465,
404
+ "step": 2650
405
+ },
406
+ {
407
+ "epoch": 3.49,
408
+ "grad_norm": 0.31365010142326355,
409
+ "learning_rate": 4.270603790215955e-05,
410
+ "loss": 2.3441,
411
+ "step": 2700
412
+ },
413
+ {
414
+ "epoch": 3.55,
415
+ "grad_norm": 0.2947095036506653,
416
+ "learning_rate": 4.160423093873954e-05,
417
+ "loss": 2.3259,
418
+ "step": 2750
419
+ },
420
+ {
421
+ "epoch": 3.62,
422
+ "grad_norm": 0.32206296920776367,
423
+ "learning_rate": 4.0502423975319526e-05,
424
+ "loss": 2.339,
425
+ "step": 2800
426
+ },
427
+ {
428
+ "epoch": 3.68,
429
+ "grad_norm": 0.31289926171302795,
430
+ "learning_rate": 3.9400617011899515e-05,
431
+ "loss": 2.3377,
432
+ "step": 2850
433
+ },
434
+ {
435
+ "epoch": 3.75,
436
+ "grad_norm": 0.33143824338912964,
437
+ "learning_rate": 3.829881004847951e-05,
438
+ "loss": 2.3388,
439
+ "step": 2900
440
+ },
441
+ {
442
+ "epoch": 3.81,
443
+ "grad_norm": 0.3358709216117859,
444
+ "learning_rate": 3.71970030850595e-05,
445
+ "loss": 2.3288,
446
+ "step": 2950
447
+ },
448
+ {
449
+ "epoch": 3.88,
450
+ "grad_norm": 0.3498934209346771,
451
+ "learning_rate": 3.609519612163949e-05,
452
+ "loss": 2.3438,
453
+ "step": 3000
454
+ },
455
+ {
456
+ "epoch": 3.88,
457
+ "eval_loss": 2.2748169898986816,
458
+ "eval_runtime": 954.0213,
459
+ "eval_samples_per_second": 8.642,
460
+ "eval_steps_per_second": 8.642,
461
+ "step": 3000
462
+ },
463
+ {
464
+ "epoch": 3.94,
465
+ "grad_norm": 0.3428861200809479,
466
+ "learning_rate": 3.499338915821948e-05,
467
+ "loss": 2.3304,
468
+ "step": 3050
469
+ },
470
+ {
471
+ "epoch": 4.01,
472
+ "grad_norm": 0.3780589699745178,
473
+ "learning_rate": 3.389158219479947e-05,
474
+ "loss": 2.3373,
475
+ "step": 3100
476
+ },
477
+ {
478
+ "epoch": 4.07,
479
+ "grad_norm": 0.35940733551979065,
480
+ "learning_rate": 3.2789775231379464e-05,
481
+ "loss": 2.327,
482
+ "step": 3150
483
+ },
484
+ {
485
+ "epoch": 4.14,
486
+ "grad_norm": 0.32163000106811523,
487
+ "learning_rate": 3.1687968267959454e-05,
488
+ "loss": 2.3354,
489
+ "step": 3200
490
+ },
491
+ {
492
+ "epoch": 4.2,
493
+ "grad_norm": 0.4193963408470154,
494
+ "learning_rate": 3.058616130453944e-05,
495
+ "loss": 2.3155,
496
+ "step": 3250
497
+ },
498
+ {
499
+ "epoch": 4.27,
500
+ "grad_norm": 0.32936742901802063,
501
+ "learning_rate": 2.9484354341119435e-05,
502
+ "loss": 2.334,
503
+ "step": 3300
504
+ },
505
+ {
506
+ "epoch": 4.33,
507
+ "grad_norm": 0.34648725390434265,
508
+ "learning_rate": 2.838254737769943e-05,
509
+ "loss": 2.3321,
510
+ "step": 3350
511
+ },
512
+ {
513
+ "epoch": 4.4,
514
+ "grad_norm": 0.3279941976070404,
515
+ "learning_rate": 2.728074041427942e-05,
516
+ "loss": 2.3381,
517
+ "step": 3400
518
+ },
519
+ {
520
+ "epoch": 4.46,
521
+ "grad_norm": 0.29082515835762024,
522
+ "learning_rate": 2.617893345085941e-05,
523
+ "loss": 2.3339,
524
+ "step": 3450
525
+ },
526
+ {
527
+ "epoch": 4.52,
528
+ "grad_norm": 0.33501705527305603,
529
+ "learning_rate": 2.50771264874394e-05,
530
+ "loss": 2.3425,
531
+ "step": 3500
532
+ },
533
+ {
534
+ "epoch": 4.59,
535
+ "grad_norm": 0.3124564290046692,
536
+ "learning_rate": 2.3975319524019392e-05,
537
+ "loss": 2.3257,
538
+ "step": 3550
539
+ },
540
+ {
541
+ "epoch": 4.65,
542
+ "grad_norm": 0.3001866638660431,
543
+ "learning_rate": 2.2873512560599385e-05,
544
+ "loss": 2.3381,
545
+ "step": 3600
546
+ },
547
+ {
548
+ "epoch": 4.72,
549
+ "grad_norm": 0.299400269985199,
550
+ "learning_rate": 2.1771705597179377e-05,
551
+ "loss": 2.3404,
552
+ "step": 3650
553
+ },
554
+ {
555
+ "epoch": 4.78,
556
+ "grad_norm": 0.3362495005130768,
557
+ "learning_rate": 2.0669898633759366e-05,
558
+ "loss": 2.3131,
559
+ "step": 3700
560
+ },
561
+ {
562
+ "epoch": 4.85,
563
+ "grad_norm": 0.31044018268585205,
564
+ "learning_rate": 1.956809167033936e-05,
565
+ "loss": 2.332,
566
+ "step": 3750
567
+ },
568
+ {
569
+ "epoch": 4.85,
570
+ "eval_loss": 2.269272565841675,
571
+ "eval_runtime": 952.7148,
572
+ "eval_samples_per_second": 8.654,
573
+ "eval_steps_per_second": 8.654,
574
+ "step": 3750
575
+ }
576
+ ],
577
+ "logging_steps": 50,
578
+ "max_steps": 4638,
579
+ "num_input_tokens_seen": 0,
580
+ "num_train_epochs": 6,
581
+ "save_steps": 750,
582
+ "total_flos": 1.4703137390592e+17,
583
+ "train_batch_size": 1,
584
+ "trial_name": null,
585
+ "trial_params": null
586
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdc15b33acf29c46381788906821d38ed2a66066d1beef98321c2542d549b6b8
3
+ size 4920