vsvasconcelos commited on
Commit
9caebc1
·
verified ·
1 Parent(s): 7e0f8f1

Upload 14 files

Browse files
README.md CHANGED
@@ -1,3 +1,202 @@
1
- ---
2
- license: mit
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: microsoft/phi-2
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 0.10.1.dev0
adapter_config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "microsoft/phi-2",
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
+ "k_proj",
24
+ "q_proj",
25
+ "v_proj",
26
+ "dense"
27
+ ],
28
+ "task_type": "CAUSAL_LM",
29
+ "use_dora": false,
30
+ "use_rslora": false
31
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:733a2633f096b72f6cc6bd6387cd51172886418dcb0e292311c12d8120ccc22c
3
+ size 21005448
added_tokens.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "\t\t": 50294,
3
+ "\t\t\t": 50293,
4
+ "\t\t\t\t": 50292,
5
+ "\t\t\t\t\t": 50291,
6
+ "\t\t\t\t\t\t": 50290,
7
+ "\t\t\t\t\t\t\t": 50289,
8
+ "\t\t\t\t\t\t\t\t": 50288,
9
+ "\t\t\t\t\t\t\t\t\t": 50287,
10
+ " ": 50286,
11
+ " ": 50285,
12
+ " ": 50284,
13
+ " ": 50283,
14
+ " ": 50282,
15
+ " ": 50281,
16
+ " ": 50280,
17
+ " ": 50279,
18
+ " ": 50278,
19
+ " ": 50277,
20
+ " ": 50276,
21
+ " ": 50275,
22
+ " ": 50274,
23
+ " ": 50273,
24
+ " ": 50272,
25
+ " ": 50271,
26
+ " ": 50270,
27
+ " ": 50269,
28
+ " ": 50268,
29
+ " ": 50267,
30
+ " ": 50266,
31
+ " ": 50265,
32
+ " ": 50264,
33
+ " ": 50263,
34
+ " ": 50262,
35
+ " ": 50261,
36
+ " ": 50260,
37
+ " ": 50259,
38
+ " ": 50258,
39
+ " ": 50257
40
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2600696a69b8ba251522d2053d4d9a2896eef93e7160590db1800239c4a42a11
3
+ size 42094394
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dbd70900b1250ae8c6df9657d1b88b1977adc2fe6e299452a8328ee3259a04a4
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e2ea5e37ac3264983fe67ad5cd72028d5174afac88312c7aaf1eb096ebcb6640
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<|endoftext|>",
17
+ "unk_token": {
18
+ "content": "<|endoftext|>",
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_config.json ADDED
@@ -0,0 +1,325 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "50256": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "50257": {
13
+ "content": " ",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": false
19
+ },
20
+ "50258": {
21
+ "content": " ",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": false
27
+ },
28
+ "50259": {
29
+ "content": " ",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": false
35
+ },
36
+ "50260": {
37
+ "content": " ",
38
+ "lstrip": false,
39
+ "normalized": true,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": false
43
+ },
44
+ "50261": {
45
+ "content": " ",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": false
51
+ },
52
+ "50262": {
53
+ "content": " ",
54
+ "lstrip": false,
55
+ "normalized": true,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": false
59
+ },
60
+ "50263": {
61
+ "content": " ",
62
+ "lstrip": false,
63
+ "normalized": true,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": false
67
+ },
68
+ "50264": {
69
+ "content": " ",
70
+ "lstrip": false,
71
+ "normalized": true,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": false
75
+ },
76
+ "50265": {
77
+ "content": " ",
78
+ "lstrip": false,
79
+ "normalized": true,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": false
83
+ },
84
+ "50266": {
85
+ "content": " ",
86
+ "lstrip": false,
87
+ "normalized": true,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": false
91
+ },
92
+ "50267": {
93
+ "content": " ",
94
+ "lstrip": false,
95
+ "normalized": true,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": false
99
+ },
100
+ "50268": {
101
+ "content": " ",
102
+ "lstrip": false,
103
+ "normalized": true,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": false
107
+ },
108
+ "50269": {
109
+ "content": " ",
110
+ "lstrip": false,
111
+ "normalized": true,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": false
115
+ },
116
+ "50270": {
117
+ "content": " ",
118
+ "lstrip": false,
119
+ "normalized": true,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": false
123
+ },
124
+ "50271": {
125
+ "content": " ",
126
+ "lstrip": false,
127
+ "normalized": true,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": false
131
+ },
132
+ "50272": {
133
+ "content": " ",
134
+ "lstrip": false,
135
+ "normalized": true,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": false
139
+ },
140
+ "50273": {
141
+ "content": " ",
142
+ "lstrip": false,
143
+ "normalized": true,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": false
147
+ },
148
+ "50274": {
149
+ "content": " ",
150
+ "lstrip": false,
151
+ "normalized": true,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": false
155
+ },
156
+ "50275": {
157
+ "content": " ",
158
+ "lstrip": false,
159
+ "normalized": true,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": false
163
+ },
164
+ "50276": {
165
+ "content": " ",
166
+ "lstrip": false,
167
+ "normalized": true,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": false
171
+ },
172
+ "50277": {
173
+ "content": " ",
174
+ "lstrip": false,
175
+ "normalized": true,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": false
179
+ },
180
+ "50278": {
181
+ "content": " ",
182
+ "lstrip": false,
183
+ "normalized": true,
184
+ "rstrip": false,
185
+ "single_word": false,
186
+ "special": false
187
+ },
188
+ "50279": {
189
+ "content": " ",
190
+ "lstrip": false,
191
+ "normalized": true,
192
+ "rstrip": false,
193
+ "single_word": false,
194
+ "special": false
195
+ },
196
+ "50280": {
197
+ "content": " ",
198
+ "lstrip": false,
199
+ "normalized": true,
200
+ "rstrip": false,
201
+ "single_word": false,
202
+ "special": false
203
+ },
204
+ "50281": {
205
+ "content": " ",
206
+ "lstrip": false,
207
+ "normalized": true,
208
+ "rstrip": false,
209
+ "single_word": false,
210
+ "special": false
211
+ },
212
+ "50282": {
213
+ "content": " ",
214
+ "lstrip": false,
215
+ "normalized": true,
216
+ "rstrip": false,
217
+ "single_word": false,
218
+ "special": false
219
+ },
220
+ "50283": {
221
+ "content": " ",
222
+ "lstrip": false,
223
+ "normalized": true,
224
+ "rstrip": false,
225
+ "single_word": false,
226
+ "special": false
227
+ },
228
+ "50284": {
229
+ "content": " ",
230
+ "lstrip": false,
231
+ "normalized": true,
232
+ "rstrip": false,
233
+ "single_word": false,
234
+ "special": false
235
+ },
236
+ "50285": {
237
+ "content": " ",
238
+ "lstrip": false,
239
+ "normalized": true,
240
+ "rstrip": false,
241
+ "single_word": false,
242
+ "special": false
243
+ },
244
+ "50286": {
245
+ "content": " ",
246
+ "lstrip": false,
247
+ "normalized": true,
248
+ "rstrip": false,
249
+ "single_word": false,
250
+ "special": false
251
+ },
252
+ "50287": {
253
+ "content": "\t\t\t\t\t\t\t\t\t",
254
+ "lstrip": false,
255
+ "normalized": true,
256
+ "rstrip": false,
257
+ "single_word": false,
258
+ "special": false
259
+ },
260
+ "50288": {
261
+ "content": "\t\t\t\t\t\t\t\t",
262
+ "lstrip": false,
263
+ "normalized": true,
264
+ "rstrip": false,
265
+ "single_word": false,
266
+ "special": false
267
+ },
268
+ "50289": {
269
+ "content": "\t\t\t\t\t\t\t",
270
+ "lstrip": false,
271
+ "normalized": true,
272
+ "rstrip": false,
273
+ "single_word": false,
274
+ "special": false
275
+ },
276
+ "50290": {
277
+ "content": "\t\t\t\t\t\t",
278
+ "lstrip": false,
279
+ "normalized": true,
280
+ "rstrip": false,
281
+ "single_word": false,
282
+ "special": false
283
+ },
284
+ "50291": {
285
+ "content": "\t\t\t\t\t",
286
+ "lstrip": false,
287
+ "normalized": true,
288
+ "rstrip": false,
289
+ "single_word": false,
290
+ "special": false
291
+ },
292
+ "50292": {
293
+ "content": "\t\t\t\t",
294
+ "lstrip": false,
295
+ "normalized": true,
296
+ "rstrip": false,
297
+ "single_word": false,
298
+ "special": false
299
+ },
300
+ "50293": {
301
+ "content": "\t\t\t",
302
+ "lstrip": false,
303
+ "normalized": true,
304
+ "rstrip": false,
305
+ "single_word": false,
306
+ "special": false
307
+ },
308
+ "50294": {
309
+ "content": "\t\t",
310
+ "lstrip": false,
311
+ "normalized": true,
312
+ "rstrip": false,
313
+ "single_word": false,
314
+ "special": false
315
+ }
316
+ },
317
+ "bos_token": "<|endoftext|>",
318
+ "clean_up_tokenization_spaces": true,
319
+ "eos_token": "<|endoftext|>",
320
+ "model_max_length": 2048,
321
+ "pad_token": "<|endoftext|>",
322
+ "return_token_type_ids": false,
323
+ "tokenizer_class": "CodeGenTokenizer",
324
+ "unk_token": "<|endoftext|>"
325
+ }
trainer_state.json ADDED
@@ -0,0 +1,831 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.2130013831258646,
5
+ "eval_steps": 50,
6
+ "global_step": 2700,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04098150709492342,
13
+ "grad_norm": 0.5333279371261597,
14
+ "learning_rate": 3.663003663003663e-06,
15
+ "loss": 2.2117,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.04098150709492342,
20
+ "eval_loss": 2.7143771648406982,
21
+ "eval_runtime": 282.6413,
22
+ "eval_samples_per_second": 0.768,
23
+ "eval_steps_per_second": 0.099,
24
+ "step": 50
25
+ },
26
+ {
27
+ "epoch": 0.08196301418984683,
28
+ "grad_norm": 0.42295441031455994,
29
+ "learning_rate": 7.326007326007326e-06,
30
+ "loss": 2.1609,
31
+ "step": 100
32
+ },
33
+ {
34
+ "epoch": 0.08196301418984683,
35
+ "eval_loss": 2.6825826168060303,
36
+ "eval_runtime": 283.0578,
37
+ "eval_samples_per_second": 0.767,
38
+ "eval_steps_per_second": 0.099,
39
+ "step": 100
40
+ },
41
+ {
42
+ "epoch": 0.12294452128477025,
43
+ "grad_norm": 0.277256041765213,
44
+ "learning_rate": 1.098901098901099e-05,
45
+ "loss": 2.0212,
46
+ "step": 150
47
+ },
48
+ {
49
+ "epoch": 0.12294452128477025,
50
+ "eval_loss": 2.602968215942383,
51
+ "eval_runtime": 282.5654,
52
+ "eval_samples_per_second": 0.768,
53
+ "eval_steps_per_second": 0.099,
54
+ "step": 150
55
+ },
56
+ {
57
+ "epoch": 0.16392602837969367,
58
+ "grad_norm": 0.2273157685995102,
59
+ "learning_rate": 1.4652014652014653e-05,
60
+ "loss": 1.8938,
61
+ "step": 200
62
+ },
63
+ {
64
+ "epoch": 0.16392602837969367,
65
+ "eval_loss": 2.506340980529785,
66
+ "eval_runtime": 283.8897,
67
+ "eval_samples_per_second": 0.764,
68
+ "eval_steps_per_second": 0.099,
69
+ "step": 200
70
+ },
71
+ {
72
+ "epoch": 0.20490753547461707,
73
+ "grad_norm": 0.21983110904693604,
74
+ "learning_rate": 1.8315018315018315e-05,
75
+ "loss": 1.7918,
76
+ "step": 250
77
+ },
78
+ {
79
+ "epoch": 0.20490753547461707,
80
+ "eval_loss": 2.4188530445098877,
81
+ "eval_runtime": 283.2047,
82
+ "eval_samples_per_second": 0.766,
83
+ "eval_steps_per_second": 0.099,
84
+ "step": 250
85
+ },
86
+ {
87
+ "epoch": 0.2458890425695405,
88
+ "grad_norm": 0.20148395001888275,
89
+ "learning_rate": 1.999406558079547e-05,
90
+ "loss": 1.7115,
91
+ "step": 300
92
+ },
93
+ {
94
+ "epoch": 0.2458890425695405,
95
+ "eval_loss": 2.3436834812164307,
96
+ "eval_runtime": 282.2728,
97
+ "eval_samples_per_second": 0.769,
98
+ "eval_steps_per_second": 0.099,
99
+ "step": 300
100
+ },
101
+ {
102
+ "epoch": 0.2868705496644639,
103
+ "grad_norm": 0.20601870119571686,
104
+ "learning_rate": 1.9951769064396967e-05,
105
+ "loss": 1.6595,
106
+ "step": 350
107
+ },
108
+ {
109
+ "epoch": 0.2868705496644639,
110
+ "eval_loss": 2.3192338943481445,
111
+ "eval_runtime": 282.1213,
112
+ "eval_samples_per_second": 0.769,
113
+ "eval_steps_per_second": 0.099,
114
+ "step": 350
115
+ },
116
+ {
117
+ "epoch": 0.32785205675938733,
118
+ "grad_norm": 0.19198212027549744,
119
+ "learning_rate": 1.986897612915546e-05,
120
+ "loss": 1.6081,
121
+ "step": 400
122
+ },
123
+ {
124
+ "epoch": 0.32785205675938733,
125
+ "eval_loss": 2.3058478832244873,
126
+ "eval_runtime": 282.7227,
127
+ "eval_samples_per_second": 0.768,
128
+ "eval_steps_per_second": 0.099,
129
+ "step": 400
130
+ },
131
+ {
132
+ "epoch": 0.36883356385431076,
133
+ "grad_norm": 0.19531460106372833,
134
+ "learning_rate": 1.9746023681741606e-05,
135
+ "loss": 1.6127,
136
+ "step": 450
137
+ },
138
+ {
139
+ "epoch": 0.36883356385431076,
140
+ "eval_loss": 2.2954719066619873,
141
+ "eval_runtime": 283.3445,
142
+ "eval_samples_per_second": 0.766,
143
+ "eval_steps_per_second": 0.099,
144
+ "step": 450
145
+ },
146
+ {
147
+ "epoch": 0.40981507094923414,
148
+ "grad_norm": 0.2188873440027237,
149
+ "learning_rate": 1.9583412048657773e-05,
150
+ "loss": 1.5999,
151
+ "step": 500
152
+ },
153
+ {
154
+ "epoch": 0.40981507094923414,
155
+ "eval_loss": 2.2856028079986572,
156
+ "eval_runtime": 282.6955,
157
+ "eval_samples_per_second": 0.768,
158
+ "eval_steps_per_second": 0.099,
159
+ "step": 500
160
+ },
161
+ {
162
+ "epoch": 0.45079657804415757,
163
+ "grad_norm": 0.2119743824005127,
164
+ "learning_rate": 1.9381802940275198e-05,
165
+ "loss": 1.6074,
166
+ "step": 550
167
+ },
168
+ {
169
+ "epoch": 0.45079657804415757,
170
+ "eval_loss": 2.2773895263671875,
171
+ "eval_runtime": 283.317,
172
+ "eval_samples_per_second": 0.766,
173
+ "eval_steps_per_second": 0.099,
174
+ "step": 550
175
+ },
176
+ {
177
+ "epoch": 0.491778085139081,
178
+ "grad_norm": 0.21725280582904816,
179
+ "learning_rate": 1.914201675815694e-05,
180
+ "loss": 1.5989,
181
+ "step": 600
182
+ },
183
+ {
184
+ "epoch": 0.491778085139081,
185
+ "eval_loss": 2.2710676193237305,
186
+ "eval_runtime": 283.5744,
187
+ "eval_samples_per_second": 0.765,
188
+ "eval_steps_per_second": 0.099,
189
+ "step": 600
190
+ },
191
+ {
192
+ "epoch": 0.5327595922340044,
193
+ "grad_norm": 0.22087362408638,
194
+ "learning_rate": 1.8865029256623765e-05,
195
+ "loss": 1.5708,
196
+ "step": 650
197
+ },
198
+ {
199
+ "epoch": 0.5327595922340044,
200
+ "eval_loss": 2.2653110027313232,
201
+ "eval_runtime": 282.6403,
202
+ "eval_samples_per_second": 0.768,
203
+ "eval_steps_per_second": 0.099,
204
+ "step": 650
205
+ },
206
+ {
207
+ "epoch": 0.5737410993289278,
208
+ "grad_norm": 0.24597273766994476,
209
+ "learning_rate": 1.855196757214796e-05,
210
+ "loss": 1.5981,
211
+ "step": 700
212
+ },
213
+ {
214
+ "epoch": 0.5737410993289278,
215
+ "eval_loss": 2.2589895725250244,
216
+ "eval_runtime": 282.6053,
217
+ "eval_samples_per_second": 0.768,
218
+ "eval_steps_per_second": 0.099,
219
+ "step": 700
220
+ },
221
+ {
222
+ "epoch": 0.6147226064238512,
223
+ "grad_norm": 0.20500172674655914,
224
+ "learning_rate": 1.8204105636732604e-05,
225
+ "loss": 1.5859,
226
+ "step": 750
227
+ },
228
+ {
229
+ "epoch": 0.6147226064238512,
230
+ "eval_loss": 2.2537271976470947,
231
+ "eval_runtime": 282.8109,
232
+ "eval_samples_per_second": 0.767,
233
+ "eval_steps_per_second": 0.099,
234
+ "step": 750
235
+ },
236
+ {
237
+ "epoch": 0.6557041135187747,
238
+ "grad_norm": 0.24009792506694794,
239
+ "learning_rate": 1.782285899394034e-05,
240
+ "loss": 1.5765,
241
+ "step": 800
242
+ },
243
+ {
244
+ "epoch": 0.6557041135187747,
245
+ "eval_loss": 2.250108242034912,
246
+ "eval_runtime": 282.295,
247
+ "eval_samples_per_second": 0.769,
248
+ "eval_steps_per_second": 0.099,
249
+ "step": 800
250
+ },
251
+ {
252
+ "epoch": 0.6966856206136981,
253
+ "grad_norm": 0.23266170918941498,
254
+ "learning_rate": 1.74097790386668e-05,
255
+ "loss": 1.5676,
256
+ "step": 850
257
+ },
258
+ {
259
+ "epoch": 0.6966856206136981,
260
+ "eval_loss": 2.2453207969665527,
261
+ "eval_runtime": 281.9055,
262
+ "eval_samples_per_second": 0.77,
263
+ "eval_steps_per_second": 0.099,
264
+ "step": 850
265
+ },
266
+ {
267
+ "epoch": 0.7376671277086215,
268
+ "grad_norm": 0.2351984679698944,
269
+ "learning_rate": 1.6966546704098455e-05,
270
+ "loss": 1.5688,
271
+ "step": 900
272
+ },
273
+ {
274
+ "epoch": 0.7376671277086215,
275
+ "eval_loss": 2.2418150901794434,
276
+ "eval_runtime": 281.9821,
277
+ "eval_samples_per_second": 0.77,
278
+ "eval_steps_per_second": 0.099,
279
+ "step": 900
280
+ },
281
+ {
282
+ "epoch": 0.7786486348035448,
283
+ "grad_norm": 0.237622931599617,
284
+ "learning_rate": 1.6494965621544403e-05,
285
+ "loss": 1.5643,
286
+ "step": 950
287
+ },
288
+ {
289
+ "epoch": 0.7786486348035448,
290
+ "eval_loss": 2.2379164695739746,
291
+ "eval_runtime": 282.2084,
292
+ "eval_samples_per_second": 0.769,
293
+ "eval_steps_per_second": 0.099,
294
+ "step": 950
295
+ },
296
+ {
297
+ "epoch": 0.8196301418984683,
298
+ "grad_norm": 0.24924997985363007,
299
+ "learning_rate": 1.5996954780976568e-05,
300
+ "loss": 1.5346,
301
+ "step": 1000
302
+ },
303
+ {
304
+ "epoch": 0.8196301418984683,
305
+ "eval_loss": 2.2346854209899902,
306
+ "eval_runtime": 283.4225,
307
+ "eval_samples_per_second": 0.766,
308
+ "eval_steps_per_second": 0.099,
309
+ "step": 1000
310
+ },
311
+ {
312
+ "epoch": 0.8606116489933917,
313
+ "grad_norm": 0.24776747822761536,
314
+ "learning_rate": 1.547454072214457e-05,
315
+ "loss": 1.5507,
316
+ "step": 1050
317
+ },
318
+ {
319
+ "epoch": 0.8606116489933917,
320
+ "eval_loss": 2.2320806980133057,
321
+ "eval_runtime": 282.9227,
322
+ "eval_samples_per_second": 0.767,
323
+ "eval_steps_per_second": 0.099,
324
+ "step": 1050
325
+ },
326
+ {
327
+ "epoch": 0.9015931560883151,
328
+ "grad_norm": 0.2700960040092468,
329
+ "learning_rate": 1.4929849288041656e-05,
330
+ "loss": 1.5582,
331
+ "step": 1100
332
+ },
333
+ {
334
+ "epoch": 0.9015931560883151,
335
+ "eval_loss": 2.2285408973693848,
336
+ "eval_runtime": 283.0683,
337
+ "eval_samples_per_second": 0.767,
338
+ "eval_steps_per_second": 0.099,
339
+ "step": 1100
340
+ },
341
+ {
342
+ "epoch": 0.9425746631832386,
343
+ "grad_norm": 0.26280835270881653,
344
+ "learning_rate": 1.4365096974279093e-05,
345
+ "loss": 1.5275,
346
+ "step": 1150
347
+ },
348
+ {
349
+ "epoch": 0.9425746631832386,
350
+ "eval_loss": 2.2259719371795654,
351
+ "eval_runtime": 282.6889,
352
+ "eval_samples_per_second": 0.768,
353
+ "eval_steps_per_second": 0.099,
354
+ "step": 1150
355
+ },
356
+ {
357
+ "epoch": 0.983556170278162,
358
+ "grad_norm": 0.2555929124355316,
359
+ "learning_rate": 1.3782581909570757e-05,
360
+ "loss": 1.523,
361
+ "step": 1200
362
+ },
363
+ {
364
+ "epoch": 0.983556170278162,
365
+ "eval_loss": 2.2228543758392334,
366
+ "eval_runtime": 284.1011,
367
+ "eval_samples_per_second": 0.764,
368
+ "eval_steps_per_second": 0.099,
369
+ "step": 1200
370
+ },
371
+ {
372
+ "epoch": 1.0245376773730854,
373
+ "grad_norm": 0.27351436018943787,
374
+ "learning_rate": 1.3184674504030679e-05,
375
+ "loss": 1.5354,
376
+ "step": 1250
377
+ },
378
+ {
379
+ "epoch": 1.0245376773730854,
380
+ "eval_loss": 2.2217090129852295,
381
+ "eval_runtime": 284.3948,
382
+ "eval_samples_per_second": 0.763,
383
+ "eval_steps_per_second": 0.098,
384
+ "step": 1250
385
+ },
386
+ {
387
+ "epoch": 1.0655191844680088,
388
+ "grad_norm": 0.2628322243690491,
389
+ "learning_rate": 1.2573807803338216e-05,
390
+ "loss": 1.5386,
391
+ "step": 1300
392
+ },
393
+ {
394
+ "epoch": 1.0655191844680088,
395
+ "eval_loss": 2.2189579010009766,
396
+ "eval_runtime": 282.9448,
397
+ "eval_samples_per_second": 0.767,
398
+ "eval_steps_per_second": 0.099,
399
+ "step": 1300
400
+ },
401
+ {
402
+ "epoch": 1.1065006915629323,
403
+ "grad_norm": 0.27614346146583557,
404
+ "learning_rate": 1.1952467588022282e-05,
405
+ "loss": 1.5338,
406
+ "step": 1350
407
+ },
408
+ {
409
+ "epoch": 1.1065006915629323,
410
+ "eval_loss": 2.21720814704895,
411
+ "eval_runtime": 282.859,
412
+ "eval_samples_per_second": 0.767,
413
+ "eval_steps_per_second": 0.099,
414
+ "step": 1350
415
+ },
416
+ {
417
+ "epoch": 1.1474821986578556,
418
+ "grad_norm": 0.27579498291015625,
419
+ "learning_rate": 1.1323182258153314e-05,
420
+ "loss": 1.5292,
421
+ "step": 1400
422
+ },
423
+ {
424
+ "epoch": 1.1474821986578556,
425
+ "eval_loss": 2.2148287296295166,
426
+ "eval_runtime": 283.7073,
427
+ "eval_samples_per_second": 0.765,
428
+ "eval_steps_per_second": 0.099,
429
+ "step": 1400
430
+ },
431
+ {
432
+ "epoch": 1.1884637057527792,
433
+ "grad_norm": 0.2812260687351227,
434
+ "learning_rate": 1.0688512544604915e-05,
435
+ "loss": 1.5376,
436
+ "step": 1450
437
+ },
438
+ {
439
+ "epoch": 1.1884637057527792,
440
+ "eval_loss": 2.2129642963409424,
441
+ "eval_runtime": 281.4833,
442
+ "eval_samples_per_second": 0.771,
443
+ "eval_steps_per_second": 0.099,
444
+ "step": 1450
445
+ },
446
+ {
447
+ "epoch": 1.2294452128477025,
448
+ "grad_norm": 0.28713124990463257,
449
+ "learning_rate": 1.005104108875275e-05,
450
+ "loss": 1.5273,
451
+ "step": 1500
452
+ },
453
+ {
454
+ "epoch": 1.2294452128477025,
455
+ "eval_loss": 2.2116787433624268,
456
+ "eval_runtime": 283.0969,
457
+ "eval_samples_per_second": 0.767,
458
+ "eval_steps_per_second": 0.099,
459
+ "step": 1500
460
+ },
461
+ {
462
+ "epoch": 1.270426719942626,
463
+ "grad_norm": 0.27820634841918945,
464
+ "learning_rate": 9.41336193301377e-06,
465
+ "loss": 1.526,
466
+ "step": 1550
467
+ },
468
+ {
469
+ "epoch": 1.270426719942626,
470
+ "eval_loss": 2.2110674381256104,
471
+ "eval_runtime": 281.8783,
472
+ "eval_samples_per_second": 0.77,
473
+ "eval_steps_per_second": 0.099,
474
+ "step": 1550
475
+ },
476
+ {
477
+ "epoch": 1.3114082270375493,
478
+ "grad_norm": 0.26735347509384155,
479
+ "learning_rate": 8.778069964991484e-06,
480
+ "loss": 1.537,
481
+ "step": 1600
482
+ },
483
+ {
484
+ "epoch": 1.3114082270375493,
485
+ "eval_loss": 2.2088816165924072,
486
+ "eval_runtime": 281.9837,
487
+ "eval_samples_per_second": 0.77,
488
+ "eval_steps_per_second": 0.099,
489
+ "step": 1600
490
+ },
491
+ {
492
+ "epoch": 1.3523897341324727,
493
+ "grad_norm": 0.2734984755516052,
494
+ "learning_rate": 8.147750358182e-06,
495
+ "loss": 1.5431,
496
+ "step": 1650
497
+ },
498
+ {
499
+ "epoch": 1.3523897341324727,
500
+ "eval_loss": 2.207979917526245,
501
+ "eval_runtime": 282.6878,
502
+ "eval_samples_per_second": 0.768,
503
+ "eval_steps_per_second": 0.099,
504
+ "step": 1650
505
+ },
506
+ {
507
+ "epoch": 1.3933712412273962,
508
+ "grad_norm": 0.3110925257205963,
509
+ "learning_rate": 7.524968052209331e-06,
510
+ "loss": 1.5401,
511
+ "step": 1700
512
+ },
513
+ {
514
+ "epoch": 1.3933712412273962,
515
+ "eval_loss": 2.2074739933013916,
516
+ "eval_runtime": 282.1594,
517
+ "eval_samples_per_second": 0.769,
518
+ "eval_steps_per_second": 0.099,
519
+ "step": 1700
520
+ },
521
+ {
522
+ "epoch": 1.4343527483223195,
523
+ "grad_norm": 0.3202177882194519,
524
+ "learning_rate": 6.912257315397784e-06,
525
+ "loss": 1.5331,
526
+ "step": 1750
527
+ },
528
+ {
529
+ "epoch": 1.4343527483223195,
530
+ "eval_loss": 2.205904245376587,
531
+ "eval_runtime": 280.7829,
532
+ "eval_samples_per_second": 0.773,
533
+ "eval_steps_per_second": 0.1,
534
+ "step": 1750
535
+ },
536
+ {
537
+ "epoch": 1.475334255417243,
538
+ "grad_norm": 0.28285861015319824,
539
+ "learning_rate": 6.312111432154074e-06,
540
+ "loss": 1.5395,
541
+ "step": 1800
542
+ },
543
+ {
544
+ "epoch": 1.475334255417243,
545
+ "eval_loss": 2.2046620845794678,
546
+ "eval_runtime": 282.5413,
547
+ "eval_samples_per_second": 0.768,
548
+ "eval_steps_per_second": 0.099,
549
+ "step": 1800
550
+ },
551
+ {
552
+ "epoch": 1.5163157625121664,
553
+ "grad_norm": 0.2836764454841614,
554
+ "learning_rate": 5.726972557124022e-06,
555
+ "loss": 1.542,
556
+ "step": 1850
557
+ },
558
+ {
559
+ "epoch": 1.5163157625121664,
560
+ "eval_loss": 2.203850507736206,
561
+ "eval_runtime": 283.3938,
562
+ "eval_samples_per_second": 0.766,
563
+ "eval_steps_per_second": 0.099,
564
+ "step": 1850
565
+ },
566
+ {
567
+ "epoch": 1.5572972696070897,
568
+ "grad_norm": 0.2900823652744293,
569
+ "learning_rate": 5.159221777409953e-06,
570
+ "loss": 1.502,
571
+ "step": 1900
572
+ },
573
+ {
574
+ "epoch": 1.5572972696070897,
575
+ "eval_loss": 2.2032361030578613,
576
+ "eval_runtime": 281.099,
577
+ "eval_samples_per_second": 0.772,
578
+ "eval_steps_per_second": 0.1,
579
+ "step": 1900
580
+ },
581
+ {
582
+ "epoch": 1.5982787767020132,
583
+ "grad_norm": 0.282176673412323,
584
+ "learning_rate": 4.611169423288323e-06,
585
+ "loss": 1.5267,
586
+ "step": 1950
587
+ },
588
+ {
589
+ "epoch": 1.5982787767020132,
590
+ "eval_loss": 2.202617883682251,
591
+ "eval_runtime": 283.2145,
592
+ "eval_samples_per_second": 0.766,
593
+ "eval_steps_per_second": 0.099,
594
+ "step": 1950
595
+ },
596
+ {
597
+ "epoch": 1.6392602837969368,
598
+ "grad_norm": 0.29563507437705994,
599
+ "learning_rate": 4.085045666855846e-06,
600
+ "loss": 1.51,
601
+ "step": 2000
602
+ },
603
+ {
604
+ "epoch": 1.6392602837969368,
605
+ "eval_loss": 2.2023086547851562,
606
+ "eval_runtime": 282.4408,
607
+ "eval_samples_per_second": 0.768,
608
+ "eval_steps_per_second": 0.099,
609
+ "step": 2000
610
+ },
611
+ {
612
+ "epoch": 1.68024179089186,
613
+ "grad_norm": 0.2923285663127899,
614
+ "learning_rate": 3.5829914468607874e-06,
615
+ "loss": 1.5319,
616
+ "step": 2050
617
+ },
618
+ {
619
+ "epoch": 1.68024179089186,
620
+ "eval_loss": 2.2018585205078125,
621
+ "eval_runtime": 281.9707,
622
+ "eval_samples_per_second": 0.77,
623
+ "eval_steps_per_second": 0.099,
624
+ "step": 2050
625
+ },
626
+ {
627
+ "epoch": 1.7212232979867834,
628
+ "grad_norm": 0.2978394031524658,
629
+ "learning_rate": 3.1070497566486825e-06,
630
+ "loss": 1.5267,
631
+ "step": 2100
632
+ },
633
+ {
634
+ "epoch": 1.7212232979867834,
635
+ "eval_loss": 2.2010927200317383,
636
+ "eval_runtime": 282.5046,
637
+ "eval_samples_per_second": 0.768,
638
+ "eval_steps_per_second": 0.099,
639
+ "step": 2100
640
+ },
641
+ {
642
+ "epoch": 1.7622048050817067,
643
+ "grad_norm": 0.2987017035484314,
644
+ "learning_rate": 2.6591573306741704e-06,
645
+ "loss": 1.5201,
646
+ "step": 2150
647
+ },
648
+ {
649
+ "epoch": 1.7622048050817067,
650
+ "eval_loss": 2.200831174850464,
651
+ "eval_runtime": 283.0038,
652
+ "eval_samples_per_second": 0.767,
653
+ "eval_steps_per_second": 0.099,
654
+ "step": 2150
655
+ },
656
+ {
657
+ "epoch": 1.8031863121766303,
658
+ "grad_norm": 0.28967171907424927,
659
+ "learning_rate": 2.241136763408801e-06,
660
+ "loss": 1.5204,
661
+ "step": 2200
662
+ },
663
+ {
664
+ "epoch": 1.8031863121766303,
665
+ "eval_loss": 2.2002053260803223,
666
+ "eval_runtime": 281.6629,
667
+ "eval_samples_per_second": 0.77,
668
+ "eval_steps_per_second": 0.099,
669
+ "step": 2200
670
+ },
671
+ {
672
+ "epoch": 1.8441678192715538,
673
+ "grad_norm": 0.321614146232605,
674
+ "learning_rate": 1.8546890927150273e-06,
675
+ "loss": 1.5094,
676
+ "step": 2250
677
+ },
678
+ {
679
+ "epoch": 1.8441678192715538,
680
+ "eval_loss": 2.2001166343688965,
681
+ "eval_runtime": 282.843,
682
+ "eval_samples_per_second": 0.767,
683
+ "eval_steps_per_second": 0.099,
684
+ "step": 2250
685
+ },
686
+ {
687
+ "epoch": 1.8851493263664771,
688
+ "grad_norm": 0.2887614965438843,
689
+ "learning_rate": 1.501386877866694e-06,
690
+ "loss": 1.5268,
691
+ "step": 2300
692
+ },
693
+ {
694
+ "epoch": 1.8851493263664771,
695
+ "eval_loss": 2.199751615524292,
696
+ "eval_runtime": 282.0209,
697
+ "eval_samples_per_second": 0.769,
698
+ "eval_steps_per_second": 0.099,
699
+ "step": 2300
700
+ },
701
+ {
702
+ "epoch": 1.9261308334614005,
703
+ "grad_norm": 0.30499428510665894,
704
+ "learning_rate": 1.1826678003833402e-06,
705
+ "loss": 1.513,
706
+ "step": 2350
707
+ },
708
+ {
709
+ "epoch": 1.9261308334614005,
710
+ "eval_loss": 2.1995420455932617,
711
+ "eval_runtime": 283.2079,
712
+ "eval_samples_per_second": 0.766,
713
+ "eval_steps_per_second": 0.099,
714
+ "step": 2350
715
+ },
716
+ {
717
+ "epoch": 1.967112340556324,
718
+ "grad_norm": 0.29722264409065247,
719
+ "learning_rate": 8.998288137183209e-07,
720
+ "loss": 1.5263,
721
+ "step": 2400
722
+ },
723
+ {
724
+ "epoch": 1.967112340556324,
725
+ "eval_loss": 2.199302911758423,
726
+ "eval_runtime": 281.4307,
727
+ "eval_samples_per_second": 0.771,
728
+ "eval_steps_per_second": 0.099,
729
+ "step": 2400
730
+ },
731
+ {
732
+ "epoch": 2.0080938476512475,
733
+ "grad_norm": 0.30117130279541016,
734
+ "learning_rate": 6.540208656071601e-07,
735
+ "loss": 1.5291,
736
+ "step": 2450
737
+ },
738
+ {
739
+ "epoch": 2.0080938476512475,
740
+ "eval_loss": 2.199272394180298,
741
+ "eval_runtime": 281.4783,
742
+ "eval_samples_per_second": 0.771,
743
+ "eval_steps_per_second": 0.099,
744
+ "step": 2450
745
+ },
746
+ {
747
+ "epoch": 2.049075354746171,
748
+ "grad_norm": 0.29823198914527893,
749
+ "learning_rate": 4.4624421455236156e-07,
750
+ "loss": 1.5187,
751
+ "step": 2500
752
+ },
753
+ {
754
+ "epoch": 2.049075354746171,
755
+ "eval_loss": 2.1992440223693848,
756
+ "eval_runtime": 280.9197,
757
+ "eval_samples_per_second": 0.772,
758
+ "eval_steps_per_second": 0.1,
759
+ "step": 2500
760
+ },
761
+ {
762
+ "epoch": 2.090056861841094,
763
+ "grad_norm": 0.3053443729877472,
764
+ "learning_rate": 2.7734435950315663e-07,
765
+ "loss": 1.5324,
766
+ "step": 2550
767
+ },
768
+ {
769
+ "epoch": 2.090056861841094,
770
+ "eval_loss": 2.1991806030273438,
771
+ "eval_runtime": 281.8919,
772
+ "eval_samples_per_second": 0.77,
773
+ "eval_steps_per_second": 0.099,
774
+ "step": 2550
775
+ },
776
+ {
777
+ "epoch": 2.1310383689360175,
778
+ "grad_norm": 0.31491023302078247,
779
+ "learning_rate": 1.4800859929338218e-07,
780
+ "loss": 1.5314,
781
+ "step": 2600
782
+ },
783
+ {
784
+ "epoch": 2.1310383689360175,
785
+ "eval_loss": 2.199115037918091,
786
+ "eval_runtime": 282.019,
787
+ "eval_samples_per_second": 0.769,
788
+ "eval_steps_per_second": 0.099,
789
+ "step": 2600
790
+ },
791
+ {
792
+ "epoch": 2.172019876030941,
793
+ "grad_norm": 0.300465852022171,
794
+ "learning_rate": 5.876323583810184e-08,
795
+ "loss": 1.5357,
796
+ "step": 2650
797
+ },
798
+ {
799
+ "epoch": 2.172019876030941,
800
+ "eval_loss": 2.19909930229187,
801
+ "eval_runtime": 281.0522,
802
+ "eval_samples_per_second": 0.772,
803
+ "eval_steps_per_second": 0.1,
804
+ "step": 2650
805
+ },
806
+ {
807
+ "epoch": 2.2130013831258646,
808
+ "grad_norm": 0.3176944851875305,
809
+ "learning_rate": 9.971432469871866e-09,
810
+ "loss": 1.507,
811
+ "step": 2700
812
+ },
813
+ {
814
+ "epoch": 2.2130013831258646,
815
+ "eval_loss": 2.1991000175476074,
816
+ "eval_runtime": 281.6411,
817
+ "eval_samples_per_second": 0.77,
818
+ "eval_steps_per_second": 0.099,
819
+ "step": 2700
820
+ }
821
+ ],
822
+ "logging_steps": 50,
823
+ "max_steps": 2735,
824
+ "num_input_tokens_seen": 0,
825
+ "num_train_epochs": 3,
826
+ "save_steps": 50,
827
+ "total_flos": 1.100581152473088e+18,
828
+ "train_batch_size": 2,
829
+ "trial_name": null,
830
+ "trial_params": null
831
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2c14cd9b282499bcee94e9bed4b7fff226357f343c2d13081c2ed0e7a1d4748
3
+ size 4920
vocab.json ADDED
The diff for this file is too large to render. See raw diff