tyzhu commited on
Commit
809ec85
1 Parent(s): 778ce9f

Training in progress, epoch 42, checkpoint

Browse files
checkpoint-10500/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-10500/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-10500/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18a71c10ebd1e32d9fdf398849333bfdd6f4e9c05036db7698bf55bb2c6b8e9f
3
+ size 112130416
checkpoint-10500/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
checkpoint-10500/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-10500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:055e041a6dee0e7a5b5a05fe029fb9b4367841b7c083242afded86d5864ac29f
3
+ size 224537202
checkpoint-10500/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5715fc1a6575f5c638f52fdfa3195daa63b4ec0215714338164d7e84661ba15
3
+ size 15024
checkpoint-10500/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b975830a9dea2f1202f67dbf7bced3ed095ed1b85296f63360dba60205d4a9f
3
+ size 15024
checkpoint-10500/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9fbef669d7302a3af615231097e9644308c65ecd4f94f6e4de610189ddd8a2b4
3
+ size 15024
checkpoint-10500/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:208134424c7766261ecc81f739be907e626b90946015eb441312eebccc264278
3
+ size 15024
checkpoint-10500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:097e20793edf55fc20a35b792e6b9311cb6cf1eb30f54eab30fc8140fcc1831e
3
+ size 1064
checkpoint-10500/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-10500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-10500/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-10500/trainer_state.json ADDED
@@ -0,0 +1,1398 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 42.0,
5
+ "eval_steps": 500,
6
+ "global_step": 10500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.4,
13
+ "grad_norm": 0.5897082090377808,
14
+ "learning_rate": 0.0001,
15
+ "loss": 2.3566,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.8,
20
+ "grad_norm": 0.5390245914459229,
21
+ "learning_rate": 0.0001,
22
+ "loss": 2.2503,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 1.0,
27
+ "eval_accuracy": 0.5155873015873016,
28
+ "eval_loss": 2.3237216472625732,
29
+ "eval_runtime": 6.3164,
30
+ "eval_samples_per_second": 79.159,
31
+ "eval_steps_per_second": 9.974,
32
+ "step": 250
33
+ },
34
+ {
35
+ "epoch": 1.0,
36
+ "eval_exact_match": 17.2,
37
+ "eval_f1": 25.586581359816655,
38
+ "step": 250
39
+ },
40
+ {
41
+ "epoch": 1.2,
42
+ "grad_norm": 0.7468857169151306,
43
+ "learning_rate": 0.0001,
44
+ "loss": 2.1798,
45
+ "step": 300
46
+ },
47
+ {
48
+ "epoch": 1.6,
49
+ "grad_norm": 0.9109599590301514,
50
+ "learning_rate": 0.0001,
51
+ "loss": 2.1094,
52
+ "step": 400
53
+ },
54
+ {
55
+ "epoch": 2.0,
56
+ "grad_norm": 0.8458774089813232,
57
+ "learning_rate": 0.0001,
58
+ "loss": 2.087,
59
+ "step": 500
60
+ },
61
+ {
62
+ "epoch": 2.0,
63
+ "eval_accuracy": 0.5163809523809524,
64
+ "eval_loss": 2.3309242725372314,
65
+ "eval_runtime": 5.1896,
66
+ "eval_samples_per_second": 96.347,
67
+ "eval_steps_per_second": 12.14,
68
+ "step": 500
69
+ },
70
+ {
71
+ "epoch": 2.0,
72
+ "eval_exact_match": 18.6,
73
+ "eval_f1": 26.043196248196264,
74
+ "step": 500
75
+ },
76
+ {
77
+ "epoch": 2.4,
78
+ "grad_norm": 1.171212077140808,
79
+ "learning_rate": 0.0001,
80
+ "loss": 1.8413,
81
+ "step": 600
82
+ },
83
+ {
84
+ "epoch": 2.8,
85
+ "grad_norm": 1.1294909715652466,
86
+ "learning_rate": 0.0001,
87
+ "loss": 1.849,
88
+ "step": 700
89
+ },
90
+ {
91
+ "epoch": 3.0,
92
+ "eval_accuracy": 0.5144761904761905,
93
+ "eval_loss": 2.401942253112793,
94
+ "eval_runtime": 5.5775,
95
+ "eval_samples_per_second": 89.646,
96
+ "eval_steps_per_second": 11.295,
97
+ "step": 750
98
+ },
99
+ {
100
+ "epoch": 3.0,
101
+ "eval_exact_match": 18.4,
102
+ "eval_f1": 26.966370002546494,
103
+ "step": 750
104
+ },
105
+ {
106
+ "epoch": 3.2,
107
+ "grad_norm": 1.5013824701309204,
108
+ "learning_rate": 0.0001,
109
+ "loss": 1.7322,
110
+ "step": 800
111
+ },
112
+ {
113
+ "epoch": 3.6,
114
+ "grad_norm": 1.4516321420669556,
115
+ "learning_rate": 0.0001,
116
+ "loss": 1.5908,
117
+ "step": 900
118
+ },
119
+ {
120
+ "epoch": 4.0,
121
+ "grad_norm": 1.6037466526031494,
122
+ "learning_rate": 0.0001,
123
+ "loss": 1.6193,
124
+ "step": 1000
125
+ },
126
+ {
127
+ "epoch": 4.0,
128
+ "eval_accuracy": 0.5103809523809524,
129
+ "eval_loss": 2.5039021968841553,
130
+ "eval_runtime": 5.1568,
131
+ "eval_samples_per_second": 96.96,
132
+ "eval_steps_per_second": 12.217,
133
+ "step": 1000
134
+ },
135
+ {
136
+ "epoch": 4.0,
137
+ "eval_exact_match": 18.4,
138
+ "eval_f1": 26.892813852813866,
139
+ "step": 1000
140
+ },
141
+ {
142
+ "epoch": 4.4,
143
+ "grad_norm": 1.7909170389175415,
144
+ "learning_rate": 0.0001,
145
+ "loss": 1.3298,
146
+ "step": 1100
147
+ },
148
+ {
149
+ "epoch": 4.8,
150
+ "grad_norm": 1.9236161708831787,
151
+ "learning_rate": 0.0001,
152
+ "loss": 1.3666,
153
+ "step": 1200
154
+ },
155
+ {
156
+ "epoch": 5.0,
157
+ "eval_accuracy": 0.505015873015873,
158
+ "eval_loss": 2.6543924808502197,
159
+ "eval_runtime": 5.5115,
160
+ "eval_samples_per_second": 90.719,
161
+ "eval_steps_per_second": 11.431,
162
+ "step": 1250
163
+ },
164
+ {
165
+ "epoch": 5.0,
166
+ "eval_exact_match": 18.4,
167
+ "eval_f1": 25.875286609941792,
168
+ "step": 1250
169
+ },
170
+ {
171
+ "epoch": 5.2,
172
+ "grad_norm": 1.8524874448776245,
173
+ "learning_rate": 0.0001,
174
+ "loss": 1.2381,
175
+ "step": 1300
176
+ },
177
+ {
178
+ "epoch": 5.6,
179
+ "grad_norm": 2.1092071533203125,
180
+ "learning_rate": 0.0001,
181
+ "loss": 1.1141,
182
+ "step": 1400
183
+ },
184
+ {
185
+ "epoch": 6.0,
186
+ "grad_norm": 2.065767288208008,
187
+ "learning_rate": 0.0001,
188
+ "loss": 1.1435,
189
+ "step": 1500
190
+ },
191
+ {
192
+ "epoch": 6.0,
193
+ "eval_accuracy": 0.5010793650793651,
194
+ "eval_loss": 2.843566656112671,
195
+ "eval_runtime": 5.1394,
196
+ "eval_samples_per_second": 97.287,
197
+ "eval_steps_per_second": 12.258,
198
+ "step": 1500
199
+ },
200
+ {
201
+ "epoch": 6.0,
202
+ "eval_exact_match": 17.4,
203
+ "eval_f1": 24.31514874014875,
204
+ "step": 1500
205
+ },
206
+ {
207
+ "epoch": 6.4,
208
+ "grad_norm": 2.329406261444092,
209
+ "learning_rate": 0.0001,
210
+ "loss": 0.8887,
211
+ "step": 1600
212
+ },
213
+ {
214
+ "epoch": 6.8,
215
+ "grad_norm": 2.489598274230957,
216
+ "learning_rate": 0.0001,
217
+ "loss": 0.9171,
218
+ "step": 1700
219
+ },
220
+ {
221
+ "epoch": 7.0,
222
+ "eval_accuracy": 0.49707936507936507,
223
+ "eval_loss": 3.0319864749908447,
224
+ "eval_runtime": 5.3015,
225
+ "eval_samples_per_second": 94.313,
226
+ "eval_steps_per_second": 11.883,
227
+ "step": 1750
228
+ },
229
+ {
230
+ "epoch": 7.0,
231
+ "eval_exact_match": 16.0,
232
+ "eval_f1": 22.824985569985575,
233
+ "step": 1750
234
+ },
235
+ {
236
+ "epoch": 7.2,
237
+ "grad_norm": 2.764033794403076,
238
+ "learning_rate": 0.0001,
239
+ "loss": 0.8093,
240
+ "step": 1800
241
+ },
242
+ {
243
+ "epoch": 7.6,
244
+ "grad_norm": 2.5643441677093506,
245
+ "learning_rate": 0.0001,
246
+ "loss": 0.724,
247
+ "step": 1900
248
+ },
249
+ {
250
+ "epoch": 8.0,
251
+ "grad_norm": 2.074833631515503,
252
+ "learning_rate": 0.0001,
253
+ "loss": 0.7531,
254
+ "step": 2000
255
+ },
256
+ {
257
+ "epoch": 8.0,
258
+ "eval_accuracy": 0.49304761904761907,
259
+ "eval_loss": 3.2584712505340576,
260
+ "eval_runtime": 5.2945,
261
+ "eval_samples_per_second": 94.438,
262
+ "eval_steps_per_second": 11.899,
263
+ "step": 2000
264
+ },
265
+ {
266
+ "epoch": 8.0,
267
+ "eval_exact_match": 15.0,
268
+ "eval_f1": 21.895264180264185,
269
+ "step": 2000
270
+ },
271
+ {
272
+ "epoch": 8.4,
273
+ "grad_norm": 2.649679660797119,
274
+ "learning_rate": 0.0001,
275
+ "loss": 0.5777,
276
+ "step": 2100
277
+ },
278
+ {
279
+ "epoch": 8.8,
280
+ "grad_norm": 2.1969234943389893,
281
+ "learning_rate": 0.0001,
282
+ "loss": 0.6101,
283
+ "step": 2200
284
+ },
285
+ {
286
+ "epoch": 9.0,
287
+ "eval_accuracy": 0.4925079365079365,
288
+ "eval_loss": 3.3418095111846924,
289
+ "eval_runtime": 5.1381,
290
+ "eval_samples_per_second": 97.312,
291
+ "eval_steps_per_second": 12.261,
292
+ "step": 2250
293
+ },
294
+ {
295
+ "epoch": 9.0,
296
+ "eval_exact_match": 14.4,
297
+ "eval_f1": 21.76202020202021,
298
+ "step": 2250
299
+ },
300
+ {
301
+ "epoch": 9.2,
302
+ "grad_norm": 1.8318747282028198,
303
+ "learning_rate": 0.0001,
304
+ "loss": 0.555,
305
+ "step": 2300
306
+ },
307
+ {
308
+ "epoch": 9.6,
309
+ "grad_norm": 1.9915804862976074,
310
+ "learning_rate": 0.0001,
311
+ "loss": 0.5102,
312
+ "step": 2400
313
+ },
314
+ {
315
+ "epoch": 10.0,
316
+ "grad_norm": 2.1287789344787598,
317
+ "learning_rate": 0.0001,
318
+ "loss": 0.5392,
319
+ "step": 2500
320
+ },
321
+ {
322
+ "epoch": 10.0,
323
+ "eval_accuracy": 0.4915555555555556,
324
+ "eval_loss": 3.537275791168213,
325
+ "eval_runtime": 5.1264,
326
+ "eval_samples_per_second": 97.534,
327
+ "eval_steps_per_second": 12.289,
328
+ "step": 2500
329
+ },
330
+ {
331
+ "epoch": 10.0,
332
+ "eval_exact_match": 15.4,
333
+ "eval_f1": 22.23013114336644,
334
+ "step": 2500
335
+ },
336
+ {
337
+ "epoch": 10.4,
338
+ "grad_norm": 1.6748021841049194,
339
+ "learning_rate": 0.0001,
340
+ "loss": 0.4426,
341
+ "step": 2600
342
+ },
343
+ {
344
+ "epoch": 10.8,
345
+ "grad_norm": 1.8744910955429077,
346
+ "learning_rate": 0.0001,
347
+ "loss": 0.4718,
348
+ "step": 2700
349
+ },
350
+ {
351
+ "epoch": 11.0,
352
+ "eval_accuracy": 0.48926984126984124,
353
+ "eval_loss": 3.631282091140747,
354
+ "eval_runtime": 5.3142,
355
+ "eval_samples_per_second": 94.087,
356
+ "eval_steps_per_second": 11.855,
357
+ "step": 2750
358
+ },
359
+ {
360
+ "epoch": 11.0,
361
+ "eval_exact_match": 15.6,
362
+ "eval_f1": 21.87386002886003,
363
+ "step": 2750
364
+ },
365
+ {
366
+ "epoch": 11.2,
367
+ "grad_norm": 2.1398115158081055,
368
+ "learning_rate": 0.0001,
369
+ "loss": 0.4456,
370
+ "step": 2800
371
+ },
372
+ {
373
+ "epoch": 11.6,
374
+ "grad_norm": 1.8851490020751953,
375
+ "learning_rate": 0.0001,
376
+ "loss": 0.4328,
377
+ "step": 2900
378
+ },
379
+ {
380
+ "epoch": 12.0,
381
+ "grad_norm": 1.6958885192871094,
382
+ "learning_rate": 0.0001,
383
+ "loss": 0.4446,
384
+ "step": 3000
385
+ },
386
+ {
387
+ "epoch": 12.0,
388
+ "eval_accuracy": 0.49057142857142855,
389
+ "eval_loss": 3.6736366748809814,
390
+ "eval_runtime": 5.8652,
391
+ "eval_samples_per_second": 85.248,
392
+ "eval_steps_per_second": 10.741,
393
+ "step": 3000
394
+ },
395
+ {
396
+ "epoch": 12.0,
397
+ "eval_exact_match": 15.2,
398
+ "eval_f1": 21.81304966962862,
399
+ "step": 3000
400
+ },
401
+ {
402
+ "epoch": 12.4,
403
+ "grad_norm": 1.8530863523483276,
404
+ "learning_rate": 0.0001,
405
+ "loss": 0.3969,
406
+ "step": 3100
407
+ },
408
+ {
409
+ "epoch": 12.8,
410
+ "grad_norm": 1.9440696239471436,
411
+ "learning_rate": 0.0001,
412
+ "loss": 0.4204,
413
+ "step": 3200
414
+ },
415
+ {
416
+ "epoch": 13.0,
417
+ "eval_accuracy": 0.4906031746031746,
418
+ "eval_loss": 3.7342090606689453,
419
+ "eval_runtime": 5.4947,
420
+ "eval_samples_per_second": 90.996,
421
+ "eval_steps_per_second": 11.466,
422
+ "step": 3250
423
+ },
424
+ {
425
+ "epoch": 13.0,
426
+ "eval_exact_match": 15.8,
427
+ "eval_f1": 21.908780663780668,
428
+ "step": 3250
429
+ },
430
+ {
431
+ "epoch": 13.2,
432
+ "grad_norm": 1.7972825765609741,
433
+ "learning_rate": 0.0001,
434
+ "loss": 0.4036,
435
+ "step": 3300
436
+ },
437
+ {
438
+ "epoch": 13.6,
439
+ "grad_norm": 1.6307235956192017,
440
+ "learning_rate": 0.0001,
441
+ "loss": 0.3929,
442
+ "step": 3400
443
+ },
444
+ {
445
+ "epoch": 14.0,
446
+ "grad_norm": 2.7257182598114014,
447
+ "learning_rate": 0.0001,
448
+ "loss": 0.4131,
449
+ "step": 3500
450
+ },
451
+ {
452
+ "epoch": 14.0,
453
+ "eval_accuracy": 0.4897142857142857,
454
+ "eval_loss": 3.7777669429779053,
455
+ "eval_runtime": 5.8394,
456
+ "eval_samples_per_second": 85.626,
457
+ "eval_steps_per_second": 10.789,
458
+ "step": 3500
459
+ },
460
+ {
461
+ "epoch": 14.0,
462
+ "eval_exact_match": 15.0,
463
+ "eval_f1": 21.873367129946075,
464
+ "step": 3500
465
+ },
466
+ {
467
+ "epoch": 14.4,
468
+ "grad_norm": 1.1628468036651611,
469
+ "learning_rate": 0.0001,
470
+ "loss": 0.3756,
471
+ "step": 3600
472
+ },
473
+ {
474
+ "epoch": 14.8,
475
+ "grad_norm": 2.109792470932007,
476
+ "learning_rate": 0.0001,
477
+ "loss": 0.3924,
478
+ "step": 3700
479
+ },
480
+ {
481
+ "epoch": 15.0,
482
+ "eval_accuracy": 0.48965079365079367,
483
+ "eval_loss": 3.820950746536255,
484
+ "eval_runtime": 5.3214,
485
+ "eval_samples_per_second": 93.96,
486
+ "eval_steps_per_second": 11.839,
487
+ "step": 3750
488
+ },
489
+ {
490
+ "epoch": 15.0,
491
+ "eval_exact_match": 14.6,
492
+ "eval_f1": 22.25867243867245,
493
+ "step": 3750
494
+ },
495
+ {
496
+ "epoch": 15.2,
497
+ "grad_norm": 1.2581037282943726,
498
+ "learning_rate": 0.0001,
499
+ "loss": 0.3792,
500
+ "step": 3800
501
+ },
502
+ {
503
+ "epoch": 15.6,
504
+ "grad_norm": 1.0244629383087158,
505
+ "learning_rate": 0.0001,
506
+ "loss": 0.3767,
507
+ "step": 3900
508
+ },
509
+ {
510
+ "epoch": 16.0,
511
+ "grad_norm": 1.3548619747161865,
512
+ "learning_rate": 0.0001,
513
+ "loss": 0.3913,
514
+ "step": 4000
515
+ },
516
+ {
517
+ "epoch": 16.0,
518
+ "eval_accuracy": 0.49038095238095236,
519
+ "eval_loss": 3.8832576274871826,
520
+ "eval_runtime": 5.4233,
521
+ "eval_samples_per_second": 92.195,
522
+ "eval_steps_per_second": 11.617,
523
+ "step": 4000
524
+ },
525
+ {
526
+ "epoch": 16.0,
527
+ "eval_exact_match": 15.0,
528
+ "eval_f1": 21.823196411431713,
529
+ "step": 4000
530
+ },
531
+ {
532
+ "epoch": 16.4,
533
+ "grad_norm": 1.5730881690979004,
534
+ "learning_rate": 0.0001,
535
+ "loss": 0.3606,
536
+ "step": 4100
537
+ },
538
+ {
539
+ "epoch": 16.8,
540
+ "grad_norm": 1.619290828704834,
541
+ "learning_rate": 0.0001,
542
+ "loss": 0.376,
543
+ "step": 4200
544
+ },
545
+ {
546
+ "epoch": 17.0,
547
+ "eval_accuracy": 0.4898095238095238,
548
+ "eval_loss": 3.8935556411743164,
549
+ "eval_runtime": 5.3789,
550
+ "eval_samples_per_second": 92.957,
551
+ "eval_steps_per_second": 11.713,
552
+ "step": 4250
553
+ },
554
+ {
555
+ "epoch": 17.0,
556
+ "eval_exact_match": 15.2,
557
+ "eval_f1": 21.284107517869135,
558
+ "step": 4250
559
+ },
560
+ {
561
+ "epoch": 17.2,
562
+ "grad_norm": 2.23779559135437,
563
+ "learning_rate": 0.0001,
564
+ "loss": 0.3697,
565
+ "step": 4300
566
+ },
567
+ {
568
+ "epoch": 17.6,
569
+ "grad_norm": 1.2932429313659668,
570
+ "learning_rate": 0.0001,
571
+ "loss": 0.3618,
572
+ "step": 4400
573
+ },
574
+ {
575
+ "epoch": 18.0,
576
+ "grad_norm": 1.6087582111358643,
577
+ "learning_rate": 0.0001,
578
+ "loss": 0.3785,
579
+ "step": 4500
580
+ },
581
+ {
582
+ "epoch": 18.0,
583
+ "eval_accuracy": 0.49,
584
+ "eval_loss": 3.882444381713867,
585
+ "eval_runtime": 5.3456,
586
+ "eval_samples_per_second": 93.536,
587
+ "eval_steps_per_second": 11.785,
588
+ "step": 4500
589
+ },
590
+ {
591
+ "epoch": 18.0,
592
+ "eval_exact_match": 15.4,
593
+ "eval_f1": 21.950805305805307,
594
+ "step": 4500
595
+ },
596
+ {
597
+ "epoch": 18.4,
598
+ "grad_norm": 1.20901620388031,
599
+ "learning_rate": 0.0001,
600
+ "loss": 0.3532,
601
+ "step": 4600
602
+ },
603
+ {
604
+ "epoch": 18.8,
605
+ "grad_norm": 1.3064277172088623,
606
+ "learning_rate": 0.0001,
607
+ "loss": 0.367,
608
+ "step": 4700
609
+ },
610
+ {
611
+ "epoch": 19.0,
612
+ "eval_accuracy": 0.4900952380952381,
613
+ "eval_loss": 3.972047805786133,
614
+ "eval_runtime": 5.1196,
615
+ "eval_samples_per_second": 97.664,
616
+ "eval_steps_per_second": 12.306,
617
+ "step": 4750
618
+ },
619
+ {
620
+ "epoch": 19.0,
621
+ "eval_exact_match": 16.4,
622
+ "eval_f1": 23.046717171717184,
623
+ "step": 4750
624
+ },
625
+ {
626
+ "epoch": 19.2,
627
+ "grad_norm": 1.4567475318908691,
628
+ "learning_rate": 0.0001,
629
+ "loss": 0.3578,
630
+ "step": 4800
631
+ },
632
+ {
633
+ "epoch": 19.6,
634
+ "grad_norm": 1.274679183959961,
635
+ "learning_rate": 0.0001,
636
+ "loss": 0.3588,
637
+ "step": 4900
638
+ },
639
+ {
640
+ "epoch": 20.0,
641
+ "grad_norm": 1.5081045627593994,
642
+ "learning_rate": 0.0001,
643
+ "loss": 0.3676,
644
+ "step": 5000
645
+ },
646
+ {
647
+ "epoch": 20.0,
648
+ "eval_accuracy": 0.4908888888888889,
649
+ "eval_loss": 3.937361717224121,
650
+ "eval_runtime": 5.3304,
651
+ "eval_samples_per_second": 93.801,
652
+ "eval_steps_per_second": 11.819,
653
+ "step": 5000
654
+ },
655
+ {
656
+ "epoch": 20.0,
657
+ "eval_exact_match": 16.2,
658
+ "eval_f1": 22.572724497724508,
659
+ "step": 5000
660
+ },
661
+ {
662
+ "epoch": 20.4,
663
+ "grad_norm": 1.343906044960022,
664
+ "learning_rate": 0.0001,
665
+ "loss": 0.3445,
666
+ "step": 5100
667
+ },
668
+ {
669
+ "epoch": 20.8,
670
+ "grad_norm": 1.7303237915039062,
671
+ "learning_rate": 0.0001,
672
+ "loss": 0.3602,
673
+ "step": 5200
674
+ },
675
+ {
676
+ "epoch": 21.0,
677
+ "eval_accuracy": 0.49044444444444446,
678
+ "eval_loss": 3.9380335807800293,
679
+ "eval_runtime": 5.2455,
680
+ "eval_samples_per_second": 95.32,
681
+ "eval_steps_per_second": 12.01,
682
+ "step": 5250
683
+ },
684
+ {
685
+ "epoch": 21.0,
686
+ "eval_exact_match": 16.4,
687
+ "eval_f1": 23.159069264069274,
688
+ "step": 5250
689
+ },
690
+ {
691
+ "epoch": 21.2,
692
+ "grad_norm": 1.4770017862319946,
693
+ "learning_rate": 0.0001,
694
+ "loss": 0.3518,
695
+ "step": 5300
696
+ },
697
+ {
698
+ "epoch": 21.6,
699
+ "grad_norm": 0.7377692461013794,
700
+ "learning_rate": 0.0001,
701
+ "loss": 0.3498,
702
+ "step": 5400
703
+ },
704
+ {
705
+ "epoch": 22.0,
706
+ "grad_norm": 0.7583816051483154,
707
+ "learning_rate": 0.0001,
708
+ "loss": 0.3639,
709
+ "step": 5500
710
+ },
711
+ {
712
+ "epoch": 22.0,
713
+ "eval_accuracy": 0.49098412698412697,
714
+ "eval_loss": 3.951629400253296,
715
+ "eval_runtime": 5.1413,
716
+ "eval_samples_per_second": 97.251,
717
+ "eval_steps_per_second": 12.254,
718
+ "step": 5500
719
+ },
720
+ {
721
+ "epoch": 22.0,
722
+ "eval_exact_match": 16.2,
723
+ "eval_f1": 22.613965478965486,
724
+ "step": 5500
725
+ },
726
+ {
727
+ "epoch": 22.4,
728
+ "grad_norm": 2.125830888748169,
729
+ "learning_rate": 0.0001,
730
+ "loss": 0.3386,
731
+ "step": 5600
732
+ },
733
+ {
734
+ "epoch": 22.8,
735
+ "grad_norm": 0.958363950252533,
736
+ "learning_rate": 0.0001,
737
+ "loss": 0.3533,
738
+ "step": 5700
739
+ },
740
+ {
741
+ "epoch": 23.0,
742
+ "eval_accuracy": 0.4915555555555556,
743
+ "eval_loss": 4.020674228668213,
744
+ "eval_runtime": 5.154,
745
+ "eval_samples_per_second": 97.011,
746
+ "eval_steps_per_second": 12.223,
747
+ "step": 5750
748
+ },
749
+ {
750
+ "epoch": 23.0,
751
+ "eval_exact_match": 16.6,
752
+ "eval_f1": 21.791541236541246,
753
+ "step": 5750
754
+ },
755
+ {
756
+ "epoch": 23.2,
757
+ "grad_norm": 1.526780605316162,
758
+ "learning_rate": 0.0001,
759
+ "loss": 0.3437,
760
+ "step": 5800
761
+ },
762
+ {
763
+ "epoch": 23.6,
764
+ "grad_norm": 1.0150421857833862,
765
+ "learning_rate": 0.0001,
766
+ "loss": 0.341,
767
+ "step": 5900
768
+ },
769
+ {
770
+ "epoch": 24.0,
771
+ "grad_norm": 0.9590368866920471,
772
+ "learning_rate": 0.0001,
773
+ "loss": 0.3587,
774
+ "step": 6000
775
+ },
776
+ {
777
+ "epoch": 24.0,
778
+ "eval_accuracy": 0.49165079365079367,
779
+ "eval_loss": 3.990480661392212,
780
+ "eval_runtime": 5.2849,
781
+ "eval_samples_per_second": 94.608,
782
+ "eval_steps_per_second": 11.921,
783
+ "step": 6000
784
+ },
785
+ {
786
+ "epoch": 24.0,
787
+ "eval_exact_match": 14.8,
788
+ "eval_f1": 20.68870512528408,
789
+ "step": 6000
790
+ },
791
+ {
792
+ "epoch": 24.4,
793
+ "grad_norm": 0.7218676209449768,
794
+ "learning_rate": 0.0001,
795
+ "loss": 0.3355,
796
+ "step": 6100
797
+ },
798
+ {
799
+ "epoch": 24.8,
800
+ "grad_norm": 1.0547350645065308,
801
+ "learning_rate": 0.0001,
802
+ "loss": 0.3479,
803
+ "step": 6200
804
+ },
805
+ {
806
+ "epoch": 25.0,
807
+ "eval_accuracy": 0.4914920634920635,
808
+ "eval_loss": 4.061710357666016,
809
+ "eval_runtime": 5.1785,
810
+ "eval_samples_per_second": 96.553,
811
+ "eval_steps_per_second": 12.166,
812
+ "step": 6250
813
+ },
814
+ {
815
+ "epoch": 25.0,
816
+ "eval_exact_match": 15.2,
817
+ "eval_f1": 21.924090149616465,
818
+ "step": 6250
819
+ },
820
+ {
821
+ "epoch": 25.2,
822
+ "grad_norm": 0.8290365934371948,
823
+ "learning_rate": 0.0001,
824
+ "loss": 0.339,
825
+ "step": 6300
826
+ },
827
+ {
828
+ "epoch": 25.6,
829
+ "grad_norm": 1.2108442783355713,
830
+ "learning_rate": 0.0001,
831
+ "loss": 0.3409,
832
+ "step": 6400
833
+ },
834
+ {
835
+ "epoch": 26.0,
836
+ "grad_norm": 1.596282720565796,
837
+ "learning_rate": 0.0001,
838
+ "loss": 0.3511,
839
+ "step": 6500
840
+ },
841
+ {
842
+ "epoch": 26.0,
843
+ "eval_accuracy": 0.4903174603174603,
844
+ "eval_loss": 4.0105509757995605,
845
+ "eval_runtime": 5.1332,
846
+ "eval_samples_per_second": 97.405,
847
+ "eval_steps_per_second": 12.273,
848
+ "step": 6500
849
+ },
850
+ {
851
+ "epoch": 26.0,
852
+ "eval_exact_match": 15.2,
853
+ "eval_f1": 22.125512265512278,
854
+ "step": 6500
855
+ },
856
+ {
857
+ "epoch": 26.4,
858
+ "grad_norm": 0.607507050037384,
859
+ "learning_rate": 0.0001,
860
+ "loss": 0.3289,
861
+ "step": 6600
862
+ },
863
+ {
864
+ "epoch": 26.8,
865
+ "grad_norm": 0.8661500215530396,
866
+ "learning_rate": 0.0001,
867
+ "loss": 0.3442,
868
+ "step": 6700
869
+ },
870
+ {
871
+ "epoch": 27.0,
872
+ "eval_accuracy": 0.491015873015873,
873
+ "eval_loss": 4.040103435516357,
874
+ "eval_runtime": 5.3436,
875
+ "eval_samples_per_second": 93.57,
876
+ "eval_steps_per_second": 11.79,
877
+ "step": 6750
878
+ },
879
+ {
880
+ "epoch": 27.0,
881
+ "eval_exact_match": 15.8,
882
+ "eval_f1": 23.22610556110557,
883
+ "step": 6750
884
+ },
885
+ {
886
+ "epoch": 27.2,
887
+ "grad_norm": 0.6577064394950867,
888
+ "learning_rate": 0.0001,
889
+ "loss": 0.3417,
890
+ "step": 6800
891
+ },
892
+ {
893
+ "epoch": 27.6,
894
+ "grad_norm": 0.7707544565200806,
895
+ "learning_rate": 0.0001,
896
+ "loss": 0.3367,
897
+ "step": 6900
898
+ },
899
+ {
900
+ "epoch": 28.0,
901
+ "grad_norm": 0.9173874258995056,
902
+ "learning_rate": 0.0001,
903
+ "loss": 0.3496,
904
+ "step": 7000
905
+ },
906
+ {
907
+ "epoch": 28.0,
908
+ "eval_accuracy": 0.48968253968253966,
909
+ "eval_loss": 4.015742778778076,
910
+ "eval_runtime": 5.5561,
911
+ "eval_samples_per_second": 89.991,
912
+ "eval_steps_per_second": 11.339,
913
+ "step": 7000
914
+ },
915
+ {
916
+ "epoch": 28.0,
917
+ "eval_exact_match": 14.8,
918
+ "eval_f1": 21.22861116361117,
919
+ "step": 7000
920
+ },
921
+ {
922
+ "epoch": 28.4,
923
+ "grad_norm": 0.8520764112472534,
924
+ "learning_rate": 0.0001,
925
+ "loss": 0.3324,
926
+ "step": 7100
927
+ },
928
+ {
929
+ "epoch": 28.8,
930
+ "grad_norm": 0.6646843552589417,
931
+ "learning_rate": 0.0001,
932
+ "loss": 0.34,
933
+ "step": 7200
934
+ },
935
+ {
936
+ "epoch": 29.0,
937
+ "eval_accuracy": 0.4902222222222222,
938
+ "eval_loss": 4.0503458976745605,
939
+ "eval_runtime": 5.543,
940
+ "eval_samples_per_second": 90.204,
941
+ "eval_steps_per_second": 11.366,
942
+ "step": 7250
943
+ },
944
+ {
945
+ "epoch": 29.0,
946
+ "eval_exact_match": 15.4,
947
+ "eval_f1": 21.908746993747,
948
+ "step": 7250
949
+ },
950
+ {
951
+ "epoch": 29.2,
952
+ "grad_norm": 0.5370341539382935,
953
+ "learning_rate": 0.0001,
954
+ "loss": 0.3325,
955
+ "step": 7300
956
+ },
957
+ {
958
+ "epoch": 29.6,
959
+ "grad_norm": 0.9284526705741882,
960
+ "learning_rate": 0.0001,
961
+ "loss": 0.3353,
962
+ "step": 7400
963
+ },
964
+ {
965
+ "epoch": 30.0,
966
+ "grad_norm": 1.1908068656921387,
967
+ "learning_rate": 0.0001,
968
+ "loss": 0.3448,
969
+ "step": 7500
970
+ },
971
+ {
972
+ "epoch": 30.0,
973
+ "eval_accuracy": 0.49082539682539683,
974
+ "eval_loss": 4.078609466552734,
975
+ "eval_runtime": 5.4942,
976
+ "eval_samples_per_second": 91.006,
977
+ "eval_steps_per_second": 11.467,
978
+ "step": 7500
979
+ },
980
+ {
981
+ "epoch": 30.0,
982
+ "eval_exact_match": 14.6,
983
+ "eval_f1": 21.577283272283278,
984
+ "step": 7500
985
+ },
986
+ {
987
+ "epoch": 30.4,
988
+ "grad_norm": 0.8314960598945618,
989
+ "learning_rate": 0.0001,
990
+ "loss": 0.325,
991
+ "step": 7600
992
+ },
993
+ {
994
+ "epoch": 30.8,
995
+ "grad_norm": 0.8316343426704407,
996
+ "learning_rate": 0.0001,
997
+ "loss": 0.3406,
998
+ "step": 7700
999
+ },
1000
+ {
1001
+ "epoch": 31.0,
1002
+ "eval_accuracy": 0.49053968253968255,
1003
+ "eval_loss": 4.123876571655273,
1004
+ "eval_runtime": 5.1277,
1005
+ "eval_samples_per_second": 97.51,
1006
+ "eval_steps_per_second": 12.286,
1007
+ "step": 7750
1008
+ },
1009
+ {
1010
+ "epoch": 31.0,
1011
+ "eval_exact_match": 15.0,
1012
+ "eval_f1": 21.135220890220893,
1013
+ "step": 7750
1014
+ },
1015
+ {
1016
+ "epoch": 31.2,
1017
+ "grad_norm": 0.539159893989563,
1018
+ "learning_rate": 0.0001,
1019
+ "loss": 0.3354,
1020
+ "step": 7800
1021
+ },
1022
+ {
1023
+ "epoch": 31.6,
1024
+ "grad_norm": 0.7684648633003235,
1025
+ "learning_rate": 0.0001,
1026
+ "loss": 0.3354,
1027
+ "step": 7900
1028
+ },
1029
+ {
1030
+ "epoch": 32.0,
1031
+ "grad_norm": 0.8351700901985168,
1032
+ "learning_rate": 0.0001,
1033
+ "loss": 0.3375,
1034
+ "step": 8000
1035
+ },
1036
+ {
1037
+ "epoch": 32.0,
1038
+ "eval_accuracy": 0.4914603174603175,
1039
+ "eval_loss": 4.1210455894470215,
1040
+ "eval_runtime": 5.5561,
1041
+ "eval_samples_per_second": 89.991,
1042
+ "eval_steps_per_second": 11.339,
1043
+ "step": 8000
1044
+ },
1045
+ {
1046
+ "epoch": 32.0,
1047
+ "eval_exact_match": 14.4,
1048
+ "eval_f1": 20.92217171717173,
1049
+ "step": 8000
1050
+ },
1051
+ {
1052
+ "epoch": 32.4,
1053
+ "grad_norm": 0.9775452017784119,
1054
+ "learning_rate": 0.0001,
1055
+ "loss": 0.3233,
1056
+ "step": 8100
1057
+ },
1058
+ {
1059
+ "epoch": 32.8,
1060
+ "grad_norm": 0.8110117316246033,
1061
+ "learning_rate": 0.0001,
1062
+ "loss": 0.339,
1063
+ "step": 8200
1064
+ },
1065
+ {
1066
+ "epoch": 33.0,
1067
+ "eval_accuracy": 0.48984126984126986,
1068
+ "eval_loss": 4.103898525238037,
1069
+ "eval_runtime": 5.2522,
1070
+ "eval_samples_per_second": 95.197,
1071
+ "eval_steps_per_second": 11.995,
1072
+ "step": 8250
1073
+ },
1074
+ {
1075
+ "epoch": 33.0,
1076
+ "eval_exact_match": 15.6,
1077
+ "eval_f1": 22.6055772005772,
1078
+ "step": 8250
1079
+ },
1080
+ {
1081
+ "epoch": 33.2,
1082
+ "grad_norm": 0.617221474647522,
1083
+ "learning_rate": 0.0001,
1084
+ "loss": 0.3304,
1085
+ "step": 8300
1086
+ },
1087
+ {
1088
+ "epoch": 33.6,
1089
+ "grad_norm": 0.7995471358299255,
1090
+ "learning_rate": 0.0001,
1091
+ "loss": 0.3294,
1092
+ "step": 8400
1093
+ },
1094
+ {
1095
+ "epoch": 34.0,
1096
+ "grad_norm": 0.7901666760444641,
1097
+ "learning_rate": 0.0001,
1098
+ "loss": 0.3418,
1099
+ "step": 8500
1100
+ },
1101
+ {
1102
+ "epoch": 34.0,
1103
+ "eval_accuracy": 0.4901904761904762,
1104
+ "eval_loss": 4.087856769561768,
1105
+ "eval_runtime": 5.2835,
1106
+ "eval_samples_per_second": 94.634,
1107
+ "eval_steps_per_second": 11.924,
1108
+ "step": 8500
1109
+ },
1110
+ {
1111
+ "epoch": 34.0,
1112
+ "eval_exact_match": 15.4,
1113
+ "eval_f1": 22.837828282828294,
1114
+ "step": 8500
1115
+ },
1116
+ {
1117
+ "epoch": 34.4,
1118
+ "grad_norm": 0.7124672532081604,
1119
+ "learning_rate": 0.0001,
1120
+ "loss": 0.3227,
1121
+ "step": 8600
1122
+ },
1123
+ {
1124
+ "epoch": 34.8,
1125
+ "grad_norm": 0.9989972114562988,
1126
+ "learning_rate": 0.0001,
1127
+ "loss": 0.3364,
1128
+ "step": 8700
1129
+ },
1130
+ {
1131
+ "epoch": 35.0,
1132
+ "eval_accuracy": 0.4906984126984127,
1133
+ "eval_loss": 4.07823371887207,
1134
+ "eval_runtime": 5.4413,
1135
+ "eval_samples_per_second": 91.889,
1136
+ "eval_steps_per_second": 11.578,
1137
+ "step": 8750
1138
+ },
1139
+ {
1140
+ "epoch": 35.0,
1141
+ "eval_exact_match": 16.0,
1142
+ "eval_f1": 22.744945200997837,
1143
+ "step": 8750
1144
+ },
1145
+ {
1146
+ "epoch": 35.2,
1147
+ "grad_norm": 1.1887849569320679,
1148
+ "learning_rate": 0.0001,
1149
+ "loss": 0.3279,
1150
+ "step": 8800
1151
+ },
1152
+ {
1153
+ "epoch": 35.6,
1154
+ "grad_norm": 1.1754401922225952,
1155
+ "learning_rate": 0.0001,
1156
+ "loss": 0.3301,
1157
+ "step": 8900
1158
+ },
1159
+ {
1160
+ "epoch": 36.0,
1161
+ "grad_norm": 1.0393660068511963,
1162
+ "learning_rate": 0.0001,
1163
+ "loss": 0.3421,
1164
+ "step": 9000
1165
+ },
1166
+ {
1167
+ "epoch": 36.0,
1168
+ "eval_accuracy": 0.49098412698412697,
1169
+ "eval_loss": 4.051205635070801,
1170
+ "eval_runtime": 5.1509,
1171
+ "eval_samples_per_second": 97.07,
1172
+ "eval_steps_per_second": 12.231,
1173
+ "step": 9000
1174
+ },
1175
+ {
1176
+ "epoch": 36.0,
1177
+ "eval_exact_match": 15.6,
1178
+ "eval_f1": 22.011782106782118,
1179
+ "step": 9000
1180
+ },
1181
+ {
1182
+ "epoch": 36.4,
1183
+ "grad_norm": 0.5955029129981995,
1184
+ "learning_rate": 0.0001,
1185
+ "loss": 0.322,
1186
+ "step": 9100
1187
+ },
1188
+ {
1189
+ "epoch": 36.8,
1190
+ "grad_norm": 0.5837319493293762,
1191
+ "learning_rate": 0.0001,
1192
+ "loss": 0.3337,
1193
+ "step": 9200
1194
+ },
1195
+ {
1196
+ "epoch": 37.0,
1197
+ "eval_accuracy": 0.4894603174603175,
1198
+ "eval_loss": 4.1726765632629395,
1199
+ "eval_runtime": 5.8414,
1200
+ "eval_samples_per_second": 85.595,
1201
+ "eval_steps_per_second": 10.785,
1202
+ "step": 9250
1203
+ },
1204
+ {
1205
+ "epoch": 37.0,
1206
+ "eval_exact_match": 15.0,
1207
+ "eval_f1": 21.872969807969813,
1208
+ "step": 9250
1209
+ },
1210
+ {
1211
+ "epoch": 37.2,
1212
+ "grad_norm": 0.8081912994384766,
1213
+ "learning_rate": 0.0001,
1214
+ "loss": 0.3272,
1215
+ "step": 9300
1216
+ },
1217
+ {
1218
+ "epoch": 37.6,
1219
+ "grad_norm": 0.8411530256271362,
1220
+ "learning_rate": 0.0001,
1221
+ "loss": 0.331,
1222
+ "step": 9400
1223
+ },
1224
+ {
1225
+ "epoch": 38.0,
1226
+ "grad_norm": 1.546312689781189,
1227
+ "learning_rate": 0.0001,
1228
+ "loss": 0.3375,
1229
+ "step": 9500
1230
+ },
1231
+ {
1232
+ "epoch": 38.0,
1233
+ "eval_accuracy": 0.4889206349206349,
1234
+ "eval_loss": 4.161491870880127,
1235
+ "eval_runtime": 5.1783,
1236
+ "eval_samples_per_second": 96.557,
1237
+ "eval_steps_per_second": 12.166,
1238
+ "step": 9500
1239
+ },
1240
+ {
1241
+ "epoch": 38.0,
1242
+ "eval_exact_match": 15.6,
1243
+ "eval_f1": 22.188371073371083,
1244
+ "step": 9500
1245
+ },
1246
+ {
1247
+ "epoch": 38.4,
1248
+ "grad_norm": 0.9211820960044861,
1249
+ "learning_rate": 0.0001,
1250
+ "loss": 0.3234,
1251
+ "step": 9600
1252
+ },
1253
+ {
1254
+ "epoch": 38.8,
1255
+ "grad_norm": 1.2120319604873657,
1256
+ "learning_rate": 0.0001,
1257
+ "loss": 0.3304,
1258
+ "step": 9700
1259
+ },
1260
+ {
1261
+ "epoch": 39.0,
1262
+ "eval_accuracy": 0.4899047619047619,
1263
+ "eval_loss": 4.175526142120361,
1264
+ "eval_runtime": 5.3257,
1265
+ "eval_samples_per_second": 93.884,
1266
+ "eval_steps_per_second": 11.829,
1267
+ "step": 9750
1268
+ },
1269
+ {
1270
+ "epoch": 39.0,
1271
+ "eval_exact_match": 15.0,
1272
+ "eval_f1": 22.163932178932185,
1273
+ "step": 9750
1274
+ },
1275
+ {
1276
+ "epoch": 39.2,
1277
+ "grad_norm": 0.805370032787323,
1278
+ "learning_rate": 0.0001,
1279
+ "loss": 0.3303,
1280
+ "step": 9800
1281
+ },
1282
+ {
1283
+ "epoch": 39.6,
1284
+ "grad_norm": 0.7469269037246704,
1285
+ "learning_rate": 0.0001,
1286
+ "loss": 0.3264,
1287
+ "step": 9900
1288
+ },
1289
+ {
1290
+ "epoch": 40.0,
1291
+ "grad_norm": 0.5969201326370239,
1292
+ "learning_rate": 0.0001,
1293
+ "loss": 0.3341,
1294
+ "step": 10000
1295
+ },
1296
+ {
1297
+ "epoch": 40.0,
1298
+ "eval_accuracy": 0.4903174603174603,
1299
+ "eval_loss": 4.154229640960693,
1300
+ "eval_runtime": 5.1431,
1301
+ "eval_samples_per_second": 97.217,
1302
+ "eval_steps_per_second": 12.249,
1303
+ "step": 10000
1304
+ },
1305
+ {
1306
+ "epoch": 40.0,
1307
+ "eval_exact_match": 15.4,
1308
+ "eval_f1": 22.79366244866245,
1309
+ "step": 10000
1310
+ },
1311
+ {
1312
+ "epoch": 40.4,
1313
+ "grad_norm": 1.3221168518066406,
1314
+ "learning_rate": 0.0001,
1315
+ "loss": 0.3202,
1316
+ "step": 10100
1317
+ },
1318
+ {
1319
+ "epoch": 40.8,
1320
+ "grad_norm": 1.0271961688995361,
1321
+ "learning_rate": 0.0001,
1322
+ "loss": 0.3311,
1323
+ "step": 10200
1324
+ },
1325
+ {
1326
+ "epoch": 41.0,
1327
+ "eval_accuracy": 0.4888888888888889,
1328
+ "eval_loss": 4.147851943969727,
1329
+ "eval_runtime": 5.1762,
1330
+ "eval_samples_per_second": 96.597,
1331
+ "eval_steps_per_second": 12.171,
1332
+ "step": 10250
1333
+ },
1334
+ {
1335
+ "epoch": 41.0,
1336
+ "eval_exact_match": 14.4,
1337
+ "eval_f1": 21.314184475655072,
1338
+ "step": 10250
1339
+ },
1340
+ {
1341
+ "epoch": 41.2,
1342
+ "grad_norm": 0.7914813160896301,
1343
+ "learning_rate": 0.0001,
1344
+ "loss": 0.3249,
1345
+ "step": 10300
1346
+ },
1347
+ {
1348
+ "epoch": 41.6,
1349
+ "grad_norm": 0.6853758692741394,
1350
+ "learning_rate": 0.0001,
1351
+ "loss": 0.3243,
1352
+ "step": 10400
1353
+ },
1354
+ {
1355
+ "epoch": 42.0,
1356
+ "grad_norm": 0.5341431498527527,
1357
+ "learning_rate": 0.0001,
1358
+ "loss": 0.3337,
1359
+ "step": 10500
1360
+ },
1361
+ {
1362
+ "epoch": 42.0,
1363
+ "eval_accuracy": 0.4906984126984127,
1364
+ "eval_loss": 4.100536823272705,
1365
+ "eval_runtime": 5.5379,
1366
+ "eval_samples_per_second": 90.287,
1367
+ "eval_steps_per_second": 11.376,
1368
+ "step": 10500
1369
+ },
1370
+ {
1371
+ "epoch": 42.0,
1372
+ "eval_exact_match": 14.6,
1373
+ "eval_f1": 20.853186258186263,
1374
+ "step": 10500
1375
+ }
1376
+ ],
1377
+ "logging_steps": 100,
1378
+ "max_steps": 12500,
1379
+ "num_input_tokens_seen": 0,
1380
+ "num_train_epochs": 50,
1381
+ "save_steps": 500,
1382
+ "stateful_callbacks": {
1383
+ "TrainerControl": {
1384
+ "args": {
1385
+ "should_epoch_stop": false,
1386
+ "should_evaluate": false,
1387
+ "should_log": false,
1388
+ "should_save": true,
1389
+ "should_training_stop": false
1390
+ },
1391
+ "attributes": {}
1392
+ }
1393
+ },
1394
+ "total_flos": 3.212023897826263e+17,
1395
+ "train_batch_size": 2,
1396
+ "trial_name": null,
1397
+ "trial_params": null
1398
+ }
checkpoint-10500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c3414153f69372b550d629c900d05ab7510b14d218f2d8546142e7b41d948d3e
3
+ size 5304
checkpoint-10500/vocab.json ADDED
The diff for this file is too large to render. See raw diff