tyzhu commited on
Commit
6991072
1 Parent(s): 0e6dd34

Training in progress, epoch 30, checkpoint

Browse files
checkpoint-5812/README.md ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+ ### Framework versions
7
+
8
+
9
+ - PEFT 0.5.0
checkpoint-5812/adapter_config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "Qwen/Qwen1.5-4B",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 16,
11
+ "lora_dropout": 0.05,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 16,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "k_proj",
19
+ "v_proj",
20
+ "down_proj",
21
+ "gate_proj",
22
+ "up_proj"
23
+ ],
24
+ "task_type": "CAUSAL_LM"
25
+ }
checkpoint-5812/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0144b9fa5e3b4ec65677596b80dfa30f619fd65601429c5515c3a80168a3ba5c
3
+ size 112130416
checkpoint-5812/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
checkpoint-5812/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-5812/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f13dfb9c99ba78927d04399f9a68cbd10044ca1b3049b79b823cc7b545405988
3
+ size 224537202
checkpoint-5812/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e6ffaa50050ba63c5135e9f399a78833e827f34ea86a9bd189f40e5832693343
3
+ size 15024
checkpoint-5812/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0495f9afd0a9036450abc6a87f1c992533aa345caea9f00bc5f754bba9d0d431
3
+ size 15024
checkpoint-5812/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af4212fe47c1b9c19f13575bd6de83eb664635486a76152e84e7f6c018b1aaaf
3
+ size 15024
checkpoint-5812/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d6ea5c5ca8f7a96e473ff1c947e0668f8a9db36ad98159fb7861b3ba5970dad0
3
+ size 15024
checkpoint-5812/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:86752fa6392194adbb4815f88dcc1c2f61c4f6ec36f11a2594c9234559ed0125
3
+ size 1064
checkpoint-5812/special_tokens_map.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": "<|endoftext|>"
14
+ }
checkpoint-5812/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-5812/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|endoftext|>",
37
+ "errors": "replace",
38
+ "model_max_length": 32768,
39
+ "pad_token": "<|endoftext|>",
40
+ "split_special_tokens": false,
41
+ "tokenizer_class": "Qwen2Tokenizer",
42
+ "unk_token": null
43
+ }
checkpoint-5812/trainer_state.json ADDED
@@ -0,0 +1,718 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 30.997333333333334,
5
+ "eval_steps": 500,
6
+ "global_step": 5812,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.5333333333333333,
13
+ "grad_norm": 0.2409825623035431,
14
+ "learning_rate": 0.0001,
15
+ "loss": 1.7886,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.9973333333333333,
20
+ "eval_accuracy": 0.6061076233183856,
21
+ "eval_loss": 1.6901254653930664,
22
+ "eval_runtime": 5.5484,
23
+ "eval_samples_per_second": 90.116,
24
+ "eval_steps_per_second": 11.355,
25
+ "step": 187
26
+ },
27
+ {
28
+ "epoch": 1.0666666666666667,
29
+ "grad_norm": 0.2729445993900299,
30
+ "learning_rate": 0.0001,
31
+ "loss": 1.7283,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 1.6,
36
+ "grad_norm": 0.37678101658821106,
37
+ "learning_rate": 0.0001,
38
+ "loss": 1.6544,
39
+ "step": 300
40
+ },
41
+ {
42
+ "epoch": 2.0,
43
+ "eval_accuracy": 0.607677130044843,
44
+ "eval_loss": 1.6766204833984375,
45
+ "eval_runtime": 6.4294,
46
+ "eval_samples_per_second": 77.768,
47
+ "eval_steps_per_second": 9.799,
48
+ "step": 375
49
+ },
50
+ {
51
+ "epoch": 2.1333333333333333,
52
+ "grad_norm": 0.4604090750217438,
53
+ "learning_rate": 0.0001,
54
+ "loss": 1.6338,
55
+ "step": 400
56
+ },
57
+ {
58
+ "epoch": 2.6666666666666665,
59
+ "grad_norm": 0.5606330633163452,
60
+ "learning_rate": 0.0001,
61
+ "loss": 1.5273,
62
+ "step": 500
63
+ },
64
+ {
65
+ "epoch": 2.997333333333333,
66
+ "eval_accuracy": 0.6079910313901346,
67
+ "eval_loss": 1.6929064989089966,
68
+ "eval_runtime": 5.431,
69
+ "eval_samples_per_second": 92.063,
70
+ "eval_steps_per_second": 11.6,
71
+ "step": 562
72
+ },
73
+ {
74
+ "epoch": 3.2,
75
+ "grad_norm": 0.6363856196403503,
76
+ "learning_rate": 0.0001,
77
+ "loss": 1.4796,
78
+ "step": 600
79
+ },
80
+ {
81
+ "epoch": 3.7333333333333334,
82
+ "grad_norm": 0.5985731482505798,
83
+ "learning_rate": 0.0001,
84
+ "loss": 1.3871,
85
+ "step": 700
86
+ },
87
+ {
88
+ "epoch": 4.0,
89
+ "eval_accuracy": 0.606896860986547,
90
+ "eval_loss": 1.7257370948791504,
91
+ "eval_runtime": 5.8318,
92
+ "eval_samples_per_second": 85.737,
93
+ "eval_steps_per_second": 10.803,
94
+ "step": 750
95
+ },
96
+ {
97
+ "epoch": 4.266666666666667,
98
+ "grad_norm": 0.7769015431404114,
99
+ "learning_rate": 0.0001,
100
+ "loss": 1.3013,
101
+ "step": 800
102
+ },
103
+ {
104
+ "epoch": 4.8,
105
+ "grad_norm": 0.708043098449707,
106
+ "learning_rate": 0.0001,
107
+ "loss": 1.23,
108
+ "step": 900
109
+ },
110
+ {
111
+ "epoch": 4.997333333333334,
112
+ "eval_accuracy": 0.6061076233183856,
113
+ "eval_loss": 1.7812739610671997,
114
+ "eval_runtime": 5.9335,
115
+ "eval_samples_per_second": 84.267,
116
+ "eval_steps_per_second": 10.618,
117
+ "step": 937
118
+ },
119
+ {
120
+ "epoch": 5.333333333333333,
121
+ "grad_norm": 0.8580867648124695,
122
+ "learning_rate": 0.0001,
123
+ "loss": 1.1011,
124
+ "step": 1000
125
+ },
126
+ {
127
+ "epoch": 5.866666666666667,
128
+ "grad_norm": 0.9232878684997559,
129
+ "learning_rate": 0.0001,
130
+ "loss": 1.0749,
131
+ "step": 1100
132
+ },
133
+ {
134
+ "epoch": 6.0,
135
+ "eval_accuracy": 0.6018026905829597,
136
+ "eval_loss": 1.877648949623108,
137
+ "eval_runtime": 6.474,
138
+ "eval_samples_per_second": 77.231,
139
+ "eval_steps_per_second": 9.731,
140
+ "step": 1125
141
+ },
142
+ {
143
+ "epoch": 6.4,
144
+ "grad_norm": 1.0364516973495483,
145
+ "learning_rate": 0.0001,
146
+ "loss": 0.9164,
147
+ "step": 1200
148
+ },
149
+ {
150
+ "epoch": 6.933333333333334,
151
+ "grad_norm": 1.0082701444625854,
152
+ "learning_rate": 0.0001,
153
+ "loss": 0.8957,
154
+ "step": 1300
155
+ },
156
+ {
157
+ "epoch": 6.997333333333334,
158
+ "eval_accuracy": 0.5997937219730942,
159
+ "eval_loss": 1.978247046470642,
160
+ "eval_runtime": 5.9491,
161
+ "eval_samples_per_second": 84.047,
162
+ "eval_steps_per_second": 10.59,
163
+ "step": 1312
164
+ },
165
+ {
166
+ "epoch": 7.466666666666667,
167
+ "grad_norm": 1.0375924110412598,
168
+ "learning_rate": 0.0001,
169
+ "loss": 0.7382,
170
+ "step": 1400
171
+ },
172
+ {
173
+ "epoch": 8.0,
174
+ "grad_norm": 1.115308403968811,
175
+ "learning_rate": 0.0001,
176
+ "loss": 0.729,
177
+ "step": 1500
178
+ },
179
+ {
180
+ "epoch": 8.0,
181
+ "eval_accuracy": 0.5965919282511211,
182
+ "eval_loss": 2.097362756729126,
183
+ "eval_runtime": 6.5905,
184
+ "eval_samples_per_second": 75.867,
185
+ "eval_steps_per_second": 9.559,
186
+ "step": 1500
187
+ },
188
+ {
189
+ "epoch": 8.533333333333333,
190
+ "grad_norm": 1.3251475095748901,
191
+ "learning_rate": 0.0001,
192
+ "loss": 0.5643,
193
+ "step": 1600
194
+ },
195
+ {
196
+ "epoch": 8.997333333333334,
197
+ "eval_accuracy": 0.5931300448430493,
198
+ "eval_loss": 2.2553179264068604,
199
+ "eval_runtime": 6.1864,
200
+ "eval_samples_per_second": 80.823,
201
+ "eval_steps_per_second": 10.184,
202
+ "step": 1687
203
+ },
204
+ {
205
+ "epoch": 9.066666666666666,
206
+ "grad_norm": 1.0753710269927979,
207
+ "learning_rate": 0.0001,
208
+ "loss": 0.5706,
209
+ "step": 1700
210
+ },
211
+ {
212
+ "epoch": 9.6,
213
+ "grad_norm": 1.5658849477767944,
214
+ "learning_rate": 0.0001,
215
+ "loss": 0.4538,
216
+ "step": 1800
217
+ },
218
+ {
219
+ "epoch": 10.0,
220
+ "eval_accuracy": 0.5900627802690583,
221
+ "eval_loss": 2.408897876739502,
222
+ "eval_runtime": 6.4582,
223
+ "eval_samples_per_second": 77.422,
224
+ "eval_steps_per_second": 9.755,
225
+ "step": 1875
226
+ },
227
+ {
228
+ "epoch": 10.133333333333333,
229
+ "grad_norm": 1.6254231929779053,
230
+ "learning_rate": 0.0001,
231
+ "loss": 0.4286,
232
+ "step": 1900
233
+ },
234
+ {
235
+ "epoch": 10.666666666666666,
236
+ "grad_norm": 1.187232255935669,
237
+ "learning_rate": 0.0001,
238
+ "loss": 0.3563,
239
+ "step": 2000
240
+ },
241
+ {
242
+ "epoch": 10.997333333333334,
243
+ "eval_accuracy": 0.588914798206278,
244
+ "eval_loss": 2.529802083969116,
245
+ "eval_runtime": 5.9806,
246
+ "eval_samples_per_second": 83.604,
247
+ "eval_steps_per_second": 10.534,
248
+ "step": 2062
249
+ },
250
+ {
251
+ "epoch": 11.2,
252
+ "grad_norm": 1.3838512897491455,
253
+ "learning_rate": 0.0001,
254
+ "loss": 0.3256,
255
+ "step": 2100
256
+ },
257
+ {
258
+ "epoch": 11.733333333333333,
259
+ "grad_norm": 1.249315619468689,
260
+ "learning_rate": 0.0001,
261
+ "loss": 0.2787,
262
+ "step": 2200
263
+ },
264
+ {
265
+ "epoch": 12.0,
266
+ "eval_accuracy": 0.5870582959641255,
267
+ "eval_loss": 2.684791088104248,
268
+ "eval_runtime": 5.7871,
269
+ "eval_samples_per_second": 86.399,
270
+ "eval_steps_per_second": 10.886,
271
+ "step": 2250
272
+ },
273
+ {
274
+ "epoch": 12.266666666666667,
275
+ "grad_norm": 1.163707971572876,
276
+ "learning_rate": 0.0001,
277
+ "loss": 0.2558,
278
+ "step": 2300
279
+ },
280
+ {
281
+ "epoch": 12.8,
282
+ "grad_norm": 1.092466950416565,
283
+ "learning_rate": 0.0001,
284
+ "loss": 0.2314,
285
+ "step": 2400
286
+ },
287
+ {
288
+ "epoch": 12.997333333333334,
289
+ "eval_accuracy": 0.5863408071748879,
290
+ "eval_loss": 2.7943203449249268,
291
+ "eval_runtime": 6.5027,
292
+ "eval_samples_per_second": 76.891,
293
+ "eval_steps_per_second": 9.688,
294
+ "step": 2437
295
+ },
296
+ {
297
+ "epoch": 13.333333333333334,
298
+ "grad_norm": 1.1065410375595093,
299
+ "learning_rate": 0.0001,
300
+ "loss": 0.2029,
301
+ "step": 2500
302
+ },
303
+ {
304
+ "epoch": 13.866666666666667,
305
+ "grad_norm": 1.1960605382919312,
306
+ "learning_rate": 0.0001,
307
+ "loss": 0.1923,
308
+ "step": 2600
309
+ },
310
+ {
311
+ "epoch": 14.0,
312
+ "eval_accuracy": 0.5856502242152466,
313
+ "eval_loss": 2.8624069690704346,
314
+ "eval_runtime": 5.5405,
315
+ "eval_samples_per_second": 90.244,
316
+ "eval_steps_per_second": 11.371,
317
+ "step": 2625
318
+ },
319
+ {
320
+ "epoch": 14.4,
321
+ "grad_norm": 1.014957070350647,
322
+ "learning_rate": 0.0001,
323
+ "loss": 0.1661,
324
+ "step": 2700
325
+ },
326
+ {
327
+ "epoch": 14.933333333333334,
328
+ "grad_norm": 1.2782268524169922,
329
+ "learning_rate": 0.0001,
330
+ "loss": 0.1687,
331
+ "step": 2800
332
+ },
333
+ {
334
+ "epoch": 14.997333333333334,
335
+ "eval_accuracy": 0.5847533632286995,
336
+ "eval_loss": 2.978261947631836,
337
+ "eval_runtime": 6.5241,
338
+ "eval_samples_per_second": 76.639,
339
+ "eval_steps_per_second": 9.656,
340
+ "step": 2812
341
+ },
342
+ {
343
+ "epoch": 15.466666666666667,
344
+ "grad_norm": 1.0024491548538208,
345
+ "learning_rate": 0.0001,
346
+ "loss": 0.1464,
347
+ "step": 2900
348
+ },
349
+ {
350
+ "epoch": 16.0,
351
+ "grad_norm": 0.9853018522262573,
352
+ "learning_rate": 0.0001,
353
+ "loss": 0.1514,
354
+ "step": 3000
355
+ },
356
+ {
357
+ "epoch": 16.0,
358
+ "eval_accuracy": 0.5849865470852018,
359
+ "eval_loss": 3.0238428115844727,
360
+ "eval_runtime": 5.8457,
361
+ "eval_samples_per_second": 85.533,
362
+ "eval_steps_per_second": 10.777,
363
+ "step": 3000
364
+ },
365
+ {
366
+ "epoch": 16.533333333333335,
367
+ "grad_norm": 1.2373902797698975,
368
+ "learning_rate": 0.0001,
369
+ "loss": 0.1282,
370
+ "step": 3100
371
+ },
372
+ {
373
+ "epoch": 16.997333333333334,
374
+ "eval_accuracy": 0.5841614349775784,
375
+ "eval_loss": 3.091371774673462,
376
+ "eval_runtime": 5.5018,
377
+ "eval_samples_per_second": 90.879,
378
+ "eval_steps_per_second": 11.451,
379
+ "step": 3187
380
+ },
381
+ {
382
+ "epoch": 17.066666666666666,
383
+ "grad_norm": 0.9496106505393982,
384
+ "learning_rate": 0.0001,
385
+ "loss": 0.1358,
386
+ "step": 3200
387
+ },
388
+ {
389
+ "epoch": 17.6,
390
+ "grad_norm": 1.0109747648239136,
391
+ "learning_rate": 0.0001,
392
+ "loss": 0.121,
393
+ "step": 3300
394
+ },
395
+ {
396
+ "epoch": 18.0,
397
+ "eval_accuracy": 0.5847982062780269,
398
+ "eval_loss": 3.143228530883789,
399
+ "eval_runtime": 5.4395,
400
+ "eval_samples_per_second": 91.919,
401
+ "eval_steps_per_second": 11.582,
402
+ "step": 3375
403
+ },
404
+ {
405
+ "epoch": 18.133333333333333,
406
+ "grad_norm": 0.9266707301139832,
407
+ "learning_rate": 0.0001,
408
+ "loss": 0.1262,
409
+ "step": 3400
410
+ },
411
+ {
412
+ "epoch": 18.666666666666668,
413
+ "grad_norm": 1.026375651359558,
414
+ "learning_rate": 0.0001,
415
+ "loss": 0.1164,
416
+ "step": 3500
417
+ },
418
+ {
419
+ "epoch": 18.997333333333334,
420
+ "eval_accuracy": 0.5847533632286995,
421
+ "eval_loss": 3.231442451477051,
422
+ "eval_runtime": 6.4528,
423
+ "eval_samples_per_second": 77.486,
424
+ "eval_steps_per_second": 9.763,
425
+ "step": 3562
426
+ },
427
+ {
428
+ "epoch": 19.2,
429
+ "grad_norm": 0.9512910842895508,
430
+ "learning_rate": 0.0001,
431
+ "loss": 0.1153,
432
+ "step": 3600
433
+ },
434
+ {
435
+ "epoch": 19.733333333333334,
436
+ "grad_norm": 1.1021068096160889,
437
+ "learning_rate": 0.0001,
438
+ "loss": 0.1103,
439
+ "step": 3700
440
+ },
441
+ {
442
+ "epoch": 20.0,
443
+ "eval_accuracy": 0.5843946188340807,
444
+ "eval_loss": 3.278094530105591,
445
+ "eval_runtime": 6.151,
446
+ "eval_samples_per_second": 81.288,
447
+ "eval_steps_per_second": 10.242,
448
+ "step": 3750
449
+ },
450
+ {
451
+ "epoch": 20.266666666666666,
452
+ "grad_norm": 0.7233396768569946,
453
+ "learning_rate": 0.0001,
454
+ "loss": 0.1076,
455
+ "step": 3800
456
+ },
457
+ {
458
+ "epoch": 20.8,
459
+ "grad_norm": 0.8059793710708618,
460
+ "learning_rate": 0.0001,
461
+ "loss": 0.1077,
462
+ "step": 3900
463
+ },
464
+ {
465
+ "epoch": 20.997333333333334,
466
+ "eval_accuracy": 0.5842062780269058,
467
+ "eval_loss": 3.2767584323883057,
468
+ "eval_runtime": 6.2046,
469
+ "eval_samples_per_second": 80.586,
470
+ "eval_steps_per_second": 10.154,
471
+ "step": 3937
472
+ },
473
+ {
474
+ "epoch": 21.333333333333332,
475
+ "grad_norm": 0.4895855784416199,
476
+ "learning_rate": 0.0001,
477
+ "loss": 0.1029,
478
+ "step": 4000
479
+ },
480
+ {
481
+ "epoch": 21.866666666666667,
482
+ "grad_norm": 1.0620789527893066,
483
+ "learning_rate": 0.0001,
484
+ "loss": 0.1053,
485
+ "step": 4100
486
+ },
487
+ {
488
+ "epoch": 22.0,
489
+ "eval_accuracy": 0.58447533632287,
490
+ "eval_loss": 3.31538724899292,
491
+ "eval_runtime": 5.8193,
492
+ "eval_samples_per_second": 85.921,
493
+ "eval_steps_per_second": 10.826,
494
+ "step": 4125
495
+ },
496
+ {
497
+ "epoch": 22.4,
498
+ "grad_norm": 0.9283909201622009,
499
+ "learning_rate": 0.0001,
500
+ "loss": 0.099,
501
+ "step": 4200
502
+ },
503
+ {
504
+ "epoch": 22.933333333333334,
505
+ "grad_norm": 0.6225098371505737,
506
+ "learning_rate": 0.0001,
507
+ "loss": 0.1025,
508
+ "step": 4300
509
+ },
510
+ {
511
+ "epoch": 22.997333333333334,
512
+ "eval_accuracy": 0.5845829596412556,
513
+ "eval_loss": 3.316826343536377,
514
+ "eval_runtime": 6.28,
515
+ "eval_samples_per_second": 79.618,
516
+ "eval_steps_per_second": 10.032,
517
+ "step": 4312
518
+ },
519
+ {
520
+ "epoch": 23.466666666666665,
521
+ "grad_norm": 0.7798640131950378,
522
+ "learning_rate": 0.0001,
523
+ "loss": 0.0971,
524
+ "step": 4400
525
+ },
526
+ {
527
+ "epoch": 24.0,
528
+ "grad_norm": 0.9243062734603882,
529
+ "learning_rate": 0.0001,
530
+ "loss": 0.1019,
531
+ "step": 4500
532
+ },
533
+ {
534
+ "epoch": 24.0,
535
+ "eval_accuracy": 0.5838744394618834,
536
+ "eval_loss": 3.3672451972961426,
537
+ "eval_runtime": 6.2482,
538
+ "eval_samples_per_second": 80.024,
539
+ "eval_steps_per_second": 10.083,
540
+ "step": 4500
541
+ },
542
+ {
543
+ "epoch": 24.533333333333335,
544
+ "grad_norm": 0.5875428915023804,
545
+ "learning_rate": 0.0001,
546
+ "loss": 0.0957,
547
+ "step": 4600
548
+ },
549
+ {
550
+ "epoch": 24.997333333333334,
551
+ "eval_accuracy": 0.5842780269058296,
552
+ "eval_loss": 3.3244740962982178,
553
+ "eval_runtime": 5.7909,
554
+ "eval_samples_per_second": 86.343,
555
+ "eval_steps_per_second": 10.879,
556
+ "step": 4687
557
+ },
558
+ {
559
+ "epoch": 25.066666666666666,
560
+ "grad_norm": 0.5470825433731079,
561
+ "learning_rate": 0.0001,
562
+ "loss": 0.1009,
563
+ "step": 4700
564
+ },
565
+ {
566
+ "epoch": 25.6,
567
+ "grad_norm": 0.5594859719276428,
568
+ "learning_rate": 0.0001,
569
+ "loss": 0.0973,
570
+ "step": 4800
571
+ },
572
+ {
573
+ "epoch": 26.0,
574
+ "eval_accuracy": 0.584627802690583,
575
+ "eval_loss": 3.345505475997925,
576
+ "eval_runtime": 5.4801,
577
+ "eval_samples_per_second": 91.239,
578
+ "eval_steps_per_second": 11.496,
579
+ "step": 4875
580
+ },
581
+ {
582
+ "epoch": 26.133333333333333,
583
+ "grad_norm": 0.7405847311019897,
584
+ "learning_rate": 0.0001,
585
+ "loss": 0.1007,
586
+ "step": 4900
587
+ },
588
+ {
589
+ "epoch": 26.666666666666668,
590
+ "grad_norm": 0.7365854978561401,
591
+ "learning_rate": 0.0001,
592
+ "loss": 0.0976,
593
+ "step": 5000
594
+ },
595
+ {
596
+ "epoch": 26.997333333333334,
597
+ "eval_accuracy": 0.5831390134529147,
598
+ "eval_loss": 3.374565839767456,
599
+ "eval_runtime": 5.5219,
600
+ "eval_samples_per_second": 90.549,
601
+ "eval_steps_per_second": 11.409,
602
+ "step": 5062
603
+ },
604
+ {
605
+ "epoch": 27.2,
606
+ "grad_norm": 0.7343279123306274,
607
+ "learning_rate": 0.0001,
608
+ "loss": 0.0986,
609
+ "step": 5100
610
+ },
611
+ {
612
+ "epoch": 27.733333333333334,
613
+ "grad_norm": 0.73392653465271,
614
+ "learning_rate": 0.0001,
615
+ "loss": 0.0956,
616
+ "step": 5200
617
+ },
618
+ {
619
+ "epoch": 28.0,
620
+ "eval_accuracy": 0.5836412556053812,
621
+ "eval_loss": 3.345768928527832,
622
+ "eval_runtime": 6.4622,
623
+ "eval_samples_per_second": 77.373,
624
+ "eval_steps_per_second": 9.749,
625
+ "step": 5250
626
+ },
627
+ {
628
+ "epoch": 28.266666666666666,
629
+ "grad_norm": 0.6106265783309937,
630
+ "learning_rate": 0.0001,
631
+ "loss": 0.0953,
632
+ "step": 5300
633
+ },
634
+ {
635
+ "epoch": 28.8,
636
+ "grad_norm": 0.8447858691215515,
637
+ "learning_rate": 0.0001,
638
+ "loss": 0.0963,
639
+ "step": 5400
640
+ },
641
+ {
642
+ "epoch": 28.997333333333334,
643
+ "eval_accuracy": 0.5845112107623318,
644
+ "eval_loss": 3.388141632080078,
645
+ "eval_runtime": 5.8659,
646
+ "eval_samples_per_second": 85.239,
647
+ "eval_steps_per_second": 10.74,
648
+ "step": 5437
649
+ },
650
+ {
651
+ "epoch": 29.333333333333332,
652
+ "grad_norm": 0.670528769493103,
653
+ "learning_rate": 0.0001,
654
+ "loss": 0.094,
655
+ "step": 5500
656
+ },
657
+ {
658
+ "epoch": 29.866666666666667,
659
+ "grad_norm": 0.5652866959571838,
660
+ "learning_rate": 0.0001,
661
+ "loss": 0.0951,
662
+ "step": 5600
663
+ },
664
+ {
665
+ "epoch": 30.0,
666
+ "eval_accuracy": 0.5842242152466368,
667
+ "eval_loss": 3.4071028232574463,
668
+ "eval_runtime": 5.914,
669
+ "eval_samples_per_second": 84.546,
670
+ "eval_steps_per_second": 10.653,
671
+ "step": 5625
672
+ },
673
+ {
674
+ "epoch": 30.4,
675
+ "grad_norm": 0.44825807213783264,
676
+ "learning_rate": 0.0001,
677
+ "loss": 0.0904,
678
+ "step": 5700
679
+ },
680
+ {
681
+ "epoch": 30.933333333333334,
682
+ "grad_norm": 0.8034001588821411,
683
+ "learning_rate": 0.0001,
684
+ "loss": 0.0932,
685
+ "step": 5800
686
+ },
687
+ {
688
+ "epoch": 30.997333333333334,
689
+ "eval_accuracy": 0.5836502242152466,
690
+ "eval_loss": 3.4573781490325928,
691
+ "eval_runtime": 5.4773,
692
+ "eval_samples_per_second": 91.286,
693
+ "eval_steps_per_second": 11.502,
694
+ "step": 5812
695
+ }
696
+ ],
697
+ "logging_steps": 100,
698
+ "max_steps": 9350,
699
+ "num_input_tokens_seen": 0,
700
+ "num_train_epochs": 50,
701
+ "save_steps": 500,
702
+ "stateful_callbacks": {
703
+ "TrainerControl": {
704
+ "args": {
705
+ "should_epoch_stop": false,
706
+ "should_evaluate": false,
707
+ "should_log": false,
708
+ "should_save": true,
709
+ "should_training_stop": false
710
+ },
711
+ "attributes": {}
712
+ }
713
+ },
714
+ "total_flos": 5.854829148215706e+17,
715
+ "train_batch_size": 1,
716
+ "trial_name": null,
717
+ "trial_params": null
718
+ }
checkpoint-5812/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a48e2910c0614efc83f1cdab0e18284ec3fdf02b7a0946bdd13c56e7e15f701
3
+ size 5304
checkpoint-5812/vocab.json ADDED
The diff for this file is too large to render. See raw diff