oribrand commited on
Commit
ac1b2d4
1 Parent(s): db625d6

Upload 9 files

Browse files
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 5632,
14
+ "max_position_embeddings": 2048,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 22,
18
+ "num_key_value_heads": 4,
19
+ "pretraining_tp": 1,
20
+ "rms_norm_eps": 1e-05,
21
+ "rope_scaling": null,
22
+ "rope_theta": 10000.0,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "float32",
25
+ "transformers_version": "4.38.2",
26
+ "use_cache": true,
27
+ "vocab_size": 32000
28
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "eos_token_id": 2,
4
+ "max_length": 2048,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.38.2"
7
+ }
model-001.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:818bf98ec4acb9c6dbb660b3b5ce5461129d647f9a86eda853aa5c373478332b
3
+ size 4400216536
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<unk>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<s>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ }
27
+ },
28
+ "bos_token": "<s>",
29
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
30
+ "clean_up_tokenization_spaces": false,
31
+ "eos_token": "</s>",
32
+ "legacy": false,
33
+ "model_max_length": 2048,
34
+ "pad_token": "</s>",
35
+ "padding_side": "right",
36
+ "sp_model_kwargs": {},
37
+ "tokenizer_class": "LlamaTokenizer",
38
+ "unk_token": "<unk>",
39
+ "use_default_system_prompt": false
40
+ }
trainer_state.json ADDED
@@ -0,0 +1,315 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.8560636043548584,
3
+ "best_model_checkpoint": "/content/models/TinyLlama-TinyLlama-1-1B-Chat-v1-0/checkpoint-564",
4
+ "epoch": 5.0,
5
+ "eval_steps": 141,
6
+ "global_step": 2810,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.25,
13
+ "grad_norm": 5.238644123077393,
14
+ "learning_rate": 4.7491103202846974e-05,
15
+ "loss": 2.103,
16
+ "step": 141
17
+ },
18
+ {
19
+ "epoch": 0.25,
20
+ "eval_loss": 1.9888125658035278,
21
+ "eval_runtime": 4.1833,
22
+ "eval_samples_per_second": 56.654,
23
+ "eval_steps_per_second": 7.171,
24
+ "step": 141
25
+ },
26
+ {
27
+ "epoch": 0.5,
28
+ "grad_norm": 4.7757039070129395,
29
+ "learning_rate": 4.498220640569395e-05,
30
+ "loss": 1.908,
31
+ "step": 282
32
+ },
33
+ {
34
+ "epoch": 0.5,
35
+ "eval_loss": 1.9252748489379883,
36
+ "eval_runtime": 4.1854,
37
+ "eval_samples_per_second": 56.625,
38
+ "eval_steps_per_second": 7.168,
39
+ "step": 282
40
+ },
41
+ {
42
+ "epoch": 0.75,
43
+ "grad_norm": 3.813783645629883,
44
+ "learning_rate": 4.247330960854093e-05,
45
+ "loss": 1.8483,
46
+ "step": 423
47
+ },
48
+ {
49
+ "epoch": 0.75,
50
+ "eval_loss": 1.9029674530029297,
51
+ "eval_runtime": 4.1786,
52
+ "eval_samples_per_second": 56.717,
53
+ "eval_steps_per_second": 7.179,
54
+ "step": 423
55
+ },
56
+ {
57
+ "epoch": 1.0,
58
+ "grad_norm": 4.197076797485352,
59
+ "learning_rate": 3.99644128113879e-05,
60
+ "loss": 1.8007,
61
+ "step": 564
62
+ },
63
+ {
64
+ "epoch": 1.0,
65
+ "eval_loss": 1.8560636043548584,
66
+ "eval_runtime": 4.1817,
67
+ "eval_samples_per_second": 56.675,
68
+ "eval_steps_per_second": 7.174,
69
+ "step": 564
70
+ },
71
+ {
72
+ "epoch": 1.25,
73
+ "grad_norm": 5.801040172576904,
74
+ "learning_rate": 3.7455516014234874e-05,
75
+ "loss": 1.4215,
76
+ "step": 705
77
+ },
78
+ {
79
+ "epoch": 1.25,
80
+ "eval_loss": 1.9399982690811157,
81
+ "eval_runtime": 4.1763,
82
+ "eval_samples_per_second": 56.749,
83
+ "eval_steps_per_second": 7.183,
84
+ "step": 705
85
+ },
86
+ {
87
+ "epoch": 1.51,
88
+ "grad_norm": 3.8744606971740723,
89
+ "learning_rate": 3.494661921708185e-05,
90
+ "loss": 1.4322,
91
+ "step": 846
92
+ },
93
+ {
94
+ "epoch": 1.51,
95
+ "eval_loss": 1.8941714763641357,
96
+ "eval_runtime": 4.1838,
97
+ "eval_samples_per_second": 56.648,
98
+ "eval_steps_per_second": 7.171,
99
+ "step": 846
100
+ },
101
+ {
102
+ "epoch": 1.76,
103
+ "grad_norm": 5.074963092803955,
104
+ "learning_rate": 3.243772241992883e-05,
105
+ "loss": 1.4325,
106
+ "step": 987
107
+ },
108
+ {
109
+ "epoch": 1.76,
110
+ "eval_loss": 1.8861587047576904,
111
+ "eval_runtime": 4.1802,
112
+ "eval_samples_per_second": 56.696,
113
+ "eval_steps_per_second": 7.177,
114
+ "step": 987
115
+ },
116
+ {
117
+ "epoch": 2.01,
118
+ "grad_norm": 4.776240348815918,
119
+ "learning_rate": 2.9928825622775803e-05,
120
+ "loss": 1.4241,
121
+ "step": 1128
122
+ },
123
+ {
124
+ "epoch": 2.01,
125
+ "eval_loss": 1.9016921520233154,
126
+ "eval_runtime": 4.1862,
127
+ "eval_samples_per_second": 56.614,
128
+ "eval_steps_per_second": 7.166,
129
+ "step": 1128
130
+ },
131
+ {
132
+ "epoch": 2.26,
133
+ "grad_norm": 6.694357395172119,
134
+ "learning_rate": 2.7419928825622775e-05,
135
+ "loss": 0.7606,
136
+ "step": 1269
137
+ },
138
+ {
139
+ "epoch": 2.26,
140
+ "eval_loss": 2.2999789714813232,
141
+ "eval_runtime": 4.1771,
142
+ "eval_samples_per_second": 56.738,
143
+ "eval_steps_per_second": 7.182,
144
+ "step": 1269
145
+ },
146
+ {
147
+ "epoch": 2.51,
148
+ "grad_norm": 24.188169479370117,
149
+ "learning_rate": 2.4911032028469753e-05,
150
+ "loss": 0.7631,
151
+ "step": 1410
152
+ },
153
+ {
154
+ "epoch": 2.51,
155
+ "eval_loss": 2.3000378608703613,
156
+ "eval_runtime": 4.1828,
157
+ "eval_samples_per_second": 56.661,
158
+ "eval_steps_per_second": 7.172,
159
+ "step": 1410
160
+ },
161
+ {
162
+ "epoch": 2.76,
163
+ "grad_norm": 5.172097206115723,
164
+ "learning_rate": 2.2402135231316725e-05,
165
+ "loss": 0.7264,
166
+ "step": 1551
167
+ },
168
+ {
169
+ "epoch": 2.76,
170
+ "eval_loss": 2.3029186725616455,
171
+ "eval_runtime": 4.1769,
172
+ "eval_samples_per_second": 56.741,
173
+ "eval_steps_per_second": 7.182,
174
+ "step": 1551
175
+ },
176
+ {
177
+ "epoch": 3.01,
178
+ "grad_norm": 3.475619077682495,
179
+ "learning_rate": 1.9893238434163703e-05,
180
+ "loss": 0.7021,
181
+ "step": 1692
182
+ },
183
+ {
184
+ "epoch": 3.01,
185
+ "eval_loss": 2.3999218940734863,
186
+ "eval_runtime": 4.1882,
187
+ "eval_samples_per_second": 56.587,
188
+ "eval_steps_per_second": 7.163,
189
+ "step": 1692
190
+ },
191
+ {
192
+ "epoch": 3.26,
193
+ "grad_norm": 4.135960102081299,
194
+ "learning_rate": 1.7384341637010675e-05,
195
+ "loss": 0.2238,
196
+ "step": 1833
197
+ },
198
+ {
199
+ "epoch": 3.26,
200
+ "eval_loss": 2.7608110904693604,
201
+ "eval_runtime": 4.1782,
202
+ "eval_samples_per_second": 56.723,
203
+ "eval_steps_per_second": 7.18,
204
+ "step": 1833
205
+ },
206
+ {
207
+ "epoch": 3.51,
208
+ "grad_norm": 3.5472917556762695,
209
+ "learning_rate": 1.4875444839857652e-05,
210
+ "loss": 0.3114,
211
+ "step": 1974
212
+ },
213
+ {
214
+ "epoch": 3.51,
215
+ "eval_loss": 2.845644474029541,
216
+ "eval_runtime": 4.1819,
217
+ "eval_samples_per_second": 56.673,
218
+ "eval_steps_per_second": 7.174,
219
+ "step": 1974
220
+ },
221
+ {
222
+ "epoch": 3.76,
223
+ "grad_norm": 4.326556205749512,
224
+ "learning_rate": 1.2366548042704627e-05,
225
+ "loss": 0.2282,
226
+ "step": 2115
227
+ },
228
+ {
229
+ "epoch": 3.76,
230
+ "eval_loss": 2.8092262744903564,
231
+ "eval_runtime": 4.1782,
232
+ "eval_samples_per_second": 56.723,
233
+ "eval_steps_per_second": 7.18,
234
+ "step": 2115
235
+ },
236
+ {
237
+ "epoch": 4.01,
238
+ "grad_norm": 2.737431049346924,
239
+ "learning_rate": 9.857651245551602e-06,
240
+ "loss": 0.2086,
241
+ "step": 2256
242
+ },
243
+ {
244
+ "epoch": 4.01,
245
+ "eval_loss": 2.9099254608154297,
246
+ "eval_runtime": 4.1802,
247
+ "eval_samples_per_second": 56.696,
248
+ "eval_steps_per_second": 7.177,
249
+ "step": 2256
250
+ },
251
+ {
252
+ "epoch": 4.27,
253
+ "grad_norm": 3.1757376194000244,
254
+ "learning_rate": 7.348754448398577e-06,
255
+ "loss": 0.0954,
256
+ "step": 2397
257
+ },
258
+ {
259
+ "epoch": 4.27,
260
+ "eval_loss": 3.1383473873138428,
261
+ "eval_runtime": 4.1771,
262
+ "eval_samples_per_second": 56.738,
263
+ "eval_steps_per_second": 7.182,
264
+ "step": 2397
265
+ },
266
+ {
267
+ "epoch": 4.52,
268
+ "grad_norm": 2.6402652263641357,
269
+ "learning_rate": 4.839857651245551e-06,
270
+ "loss": 0.1015,
271
+ "step": 2538
272
+ },
273
+ {
274
+ "epoch": 4.52,
275
+ "eval_loss": 3.1500625610351562,
276
+ "eval_runtime": 4.1764,
277
+ "eval_samples_per_second": 56.747,
278
+ "eval_steps_per_second": 7.183,
279
+ "step": 2538
280
+ },
281
+ {
282
+ "epoch": 4.77,
283
+ "grad_norm": 3.826103687286377,
284
+ "learning_rate": 2.330960854092527e-06,
285
+ "loss": 0.0769,
286
+ "step": 2679
287
+ },
288
+ {
289
+ "epoch": 4.77,
290
+ "eval_loss": 3.1649973392486572,
291
+ "eval_runtime": 4.1784,
292
+ "eval_samples_per_second": 56.72,
293
+ "eval_steps_per_second": 7.18,
294
+ "step": 2679
295
+ },
296
+ {
297
+ "epoch": 5.0,
298
+ "step": 2810,
299
+ "total_flos": 6693708929433600.0,
300
+ "train_loss": 0.8862062440648197,
301
+ "train_runtime": 1654.6028,
302
+ "train_samples_per_second": 5.092,
303
+ "train_steps_per_second": 1.698
304
+ }
305
+ ],
306
+ "logging_steps": 141,
307
+ "max_steps": 2810,
308
+ "num_input_tokens_seen": 0,
309
+ "num_train_epochs": 5,
310
+ "save_steps": 141,
311
+ "total_flos": 6693708929433600.0,
312
+ "train_batch_size": 3,
313
+ "trial_name": null,
314
+ "trial_params": null
315
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4dc1f7732f7b8af990c8255a90721acbe80826b89155ba2c5c8f68c78d032de5
3
+ size 4856