S2312dal commited on
Commit
0f22580
·
1 Parent(s): d1d12ac

Training in progress, epoch 2

Browse files
checkpoint-262/config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "S2312dal/M1_MLM",
3
+ "architectures": [
4
+ "AlbertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0,
7
+ "bos_token_id": 2,
8
+ "classifier_dropout_prob": 0.1,
9
+ "down_scale_factor": 1,
10
+ "embedding_size": 128,
11
+ "eos_token_id": 3,
12
+ "gap_size": 0,
13
+ "hidden_act": "gelu_new",
14
+ "hidden_dropout_prob": 0,
15
+ "hidden_size": 768,
16
+ "id2label": {
17
+ "0": "LABEL_0"
18
+ },
19
+ "initializer_range": 0.02,
20
+ "inner_group_num": 1,
21
+ "intermediate_size": 3072,
22
+ "label2id": {
23
+ "LABEL_0": 0
24
+ },
25
+ "layer_norm_eps": 1e-12,
26
+ "max_position_embeddings": 512,
27
+ "model_type": "albert",
28
+ "net_structure_type": 0,
29
+ "num_attention_heads": 12,
30
+ "num_hidden_groups": 1,
31
+ "num_hidden_layers": 12,
32
+ "num_memory_blocks": 0,
33
+ "pad_token_id": 0,
34
+ "position_embedding_type": "absolute",
35
+ "problem_type": "regression",
36
+ "torch_dtype": "float32",
37
+ "transformers_version": "4.20.0",
38
+ "type_vocab_size": 2,
39
+ "vocab_size": 30000
40
+ }
checkpoint-262/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70a62e99ccc6f7136ea65a4aa4d29621c5a1ae4fbe56eeed636d0535a4e56caf
3
+ size 93490051
checkpoint-262/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cdc6504aa0540f996b73c710e67e68a2602d5d34ac923fc95f2c70e0ad858a5
3
+ size 46750353
checkpoint-262/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09339c4d4827a0aca20d647f1d8cce721e262beff55fb1eaf7304b30076f4056
3
+ size 14503
checkpoint-262/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f522c7eb6e3c2b203c614ad074395772b3ba4de07537d0c54a03fe0ca59c79a
3
+ size 559
checkpoint-262/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:720a232b73b34e4a6ec8c90c7b6dee9d4c40dc3fb46e6b103f0b2b08c2d3fd94
3
+ size 623
checkpoint-262/special_tokens_map.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "[CLS]",
3
+ "cls_token": "[CLS]",
4
+ "eos_token": "[SEP]",
5
+ "mask_token": {
6
+ "content": "[MASK]",
7
+ "lstrip": true,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "pad_token": "<pad>",
13
+ "sep_token": "[SEP]",
14
+ "unk_token": "<unk>"
15
+ }
checkpoint-262/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-262/tokenizer_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "[CLS]",
3
+ "cls_token": "[CLS]",
4
+ "do_lower_case": true,
5
+ "eos_token": "[SEP]",
6
+ "keep_accents": false,
7
+ "mask_token": {
8
+ "__type": "AddedToken",
9
+ "content": "[MASK]",
10
+ "lstrip": true,
11
+ "normalized": false,
12
+ "rstrip": false,
13
+ "single_word": false
14
+ },
15
+ "model_max_length": 512,
16
+ "name_or_path": "S2312dal/M1_MLM",
17
+ "pad_token": "<pad>",
18
+ "remove_space": true,
19
+ "sep_token": "[SEP]",
20
+ "special_tokens_map_file": null,
21
+ "tokenizer_class": "AlbertTokenizer",
22
+ "unk_token": "<unk>"
23
+ }
checkpoint-262/trainer_state.json ADDED
@@ -0,0 +1,1608 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.0,
5
+ "global_step": 262,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 0.0,
13
+ "loss": 0.3588,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 0.0,
19
+ "loss": 0.3226,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 0.02,
24
+ "learning_rate": 2.5e-06,
25
+ "loss": 0.2542,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 0.03,
30
+ "learning_rate": 5e-06,
31
+ "loss": 0.2879,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 0.04,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.5216,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 0.05,
42
+ "learning_rate": 7.500000000000001e-06,
43
+ "loss": 0.341,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 0.05,
48
+ "learning_rate": 1e-05,
49
+ "loss": 0.1838,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 0.06,
54
+ "learning_rate": 1.25e-05,
55
+ "loss": 0.3373,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 0.07,
60
+ "learning_rate": 1.5000000000000002e-05,
61
+ "loss": 0.2025,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 0.08,
66
+ "learning_rate": 1.7500000000000002e-05,
67
+ "loss": 0.2342,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 0.08,
72
+ "learning_rate": 2e-05,
73
+ "loss": 0.1436,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 0.09,
78
+ "learning_rate": 1.994805194805195e-05,
79
+ "loss": 0.4132,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 0.1,
84
+ "learning_rate": 1.98961038961039e-05,
85
+ "loss": 0.279,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 0.11,
90
+ "learning_rate": 1.9844155844155846e-05,
91
+ "loss": 0.1597,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 0.11,
96
+ "learning_rate": 1.9792207792207794e-05,
97
+ "loss": 0.2237,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 0.12,
102
+ "learning_rate": 1.974025974025974e-05,
103
+ "loss": 0.3902,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 0.13,
108
+ "learning_rate": 1.968831168831169e-05,
109
+ "loss": 0.1849,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 0.14,
114
+ "learning_rate": 1.963636363636364e-05,
115
+ "loss": 0.2283,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 0.15,
120
+ "learning_rate": 1.9584415584415586e-05,
121
+ "loss": 0.1571,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 0.15,
126
+ "learning_rate": 1.9532467532467533e-05,
127
+ "loss": 0.2266,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 0.16,
132
+ "learning_rate": 1.9480519480519483e-05,
133
+ "loss": 0.1266,
134
+ "step": 21
135
+ },
136
+ {
137
+ "epoch": 0.17,
138
+ "learning_rate": 1.942857142857143e-05,
139
+ "loss": 0.1642,
140
+ "step": 22
141
+ },
142
+ {
143
+ "epoch": 0.18,
144
+ "learning_rate": 1.9376623376623377e-05,
145
+ "loss": 0.1877,
146
+ "step": 23
147
+ },
148
+ {
149
+ "epoch": 0.18,
150
+ "learning_rate": 1.9324675324675325e-05,
151
+ "loss": 0.1765,
152
+ "step": 24
153
+ },
154
+ {
155
+ "epoch": 0.19,
156
+ "learning_rate": 1.9272727272727275e-05,
157
+ "loss": 0.1325,
158
+ "step": 25
159
+ },
160
+ {
161
+ "epoch": 0.2,
162
+ "learning_rate": 1.9220779220779222e-05,
163
+ "loss": 0.1093,
164
+ "step": 26
165
+ },
166
+ {
167
+ "epoch": 0.21,
168
+ "learning_rate": 1.916883116883117e-05,
169
+ "loss": 0.082,
170
+ "step": 27
171
+ },
172
+ {
173
+ "epoch": 0.21,
174
+ "learning_rate": 1.9116883116883117e-05,
175
+ "loss": 0.1399,
176
+ "step": 28
177
+ },
178
+ {
179
+ "epoch": 0.22,
180
+ "learning_rate": 1.9064935064935067e-05,
181
+ "loss": 0.0833,
182
+ "step": 29
183
+ },
184
+ {
185
+ "epoch": 0.23,
186
+ "learning_rate": 1.9012987012987014e-05,
187
+ "loss": 0.122,
188
+ "step": 30
189
+ },
190
+ {
191
+ "epoch": 0.24,
192
+ "learning_rate": 1.896103896103896e-05,
193
+ "loss": 0.1042,
194
+ "step": 31
195
+ },
196
+ {
197
+ "epoch": 0.24,
198
+ "learning_rate": 1.8909090909090912e-05,
199
+ "loss": 0.1439,
200
+ "step": 32
201
+ },
202
+ {
203
+ "epoch": 0.25,
204
+ "learning_rate": 1.885714285714286e-05,
205
+ "loss": 0.045,
206
+ "step": 33
207
+ },
208
+ {
209
+ "epoch": 0.26,
210
+ "learning_rate": 1.8805194805194806e-05,
211
+ "loss": 0.1221,
212
+ "step": 34
213
+ },
214
+ {
215
+ "epoch": 0.27,
216
+ "learning_rate": 1.8753246753246753e-05,
217
+ "loss": 0.1128,
218
+ "step": 35
219
+ },
220
+ {
221
+ "epoch": 0.27,
222
+ "learning_rate": 1.8701298701298704e-05,
223
+ "loss": 0.1142,
224
+ "step": 36
225
+ },
226
+ {
227
+ "epoch": 0.28,
228
+ "learning_rate": 1.864935064935065e-05,
229
+ "loss": 0.095,
230
+ "step": 37
231
+ },
232
+ {
233
+ "epoch": 0.29,
234
+ "learning_rate": 1.8597402597402598e-05,
235
+ "loss": 0.0696,
236
+ "step": 38
237
+ },
238
+ {
239
+ "epoch": 0.3,
240
+ "learning_rate": 1.8545454545454545e-05,
241
+ "loss": 0.1131,
242
+ "step": 39
243
+ },
244
+ {
245
+ "epoch": 0.31,
246
+ "learning_rate": 1.8493506493506496e-05,
247
+ "loss": 0.2079,
248
+ "step": 40
249
+ },
250
+ {
251
+ "epoch": 0.31,
252
+ "learning_rate": 1.8441558441558443e-05,
253
+ "loss": 0.2369,
254
+ "step": 41
255
+ },
256
+ {
257
+ "epoch": 0.32,
258
+ "learning_rate": 1.838961038961039e-05,
259
+ "loss": 0.1422,
260
+ "step": 42
261
+ },
262
+ {
263
+ "epoch": 0.33,
264
+ "learning_rate": 1.8337662337662337e-05,
265
+ "loss": 0.0955,
266
+ "step": 43
267
+ },
268
+ {
269
+ "epoch": 0.34,
270
+ "learning_rate": 1.8285714285714288e-05,
271
+ "loss": 0.1609,
272
+ "step": 44
273
+ },
274
+ {
275
+ "epoch": 0.34,
276
+ "learning_rate": 1.8233766233766235e-05,
277
+ "loss": 0.1931,
278
+ "step": 45
279
+ },
280
+ {
281
+ "epoch": 0.35,
282
+ "learning_rate": 1.8181818181818182e-05,
283
+ "loss": 0.1338,
284
+ "step": 46
285
+ },
286
+ {
287
+ "epoch": 0.36,
288
+ "learning_rate": 1.812987012987013e-05,
289
+ "loss": 0.0927,
290
+ "step": 47
291
+ },
292
+ {
293
+ "epoch": 0.37,
294
+ "learning_rate": 1.807792207792208e-05,
295
+ "loss": 0.0717,
296
+ "step": 48
297
+ },
298
+ {
299
+ "epoch": 0.37,
300
+ "learning_rate": 1.8025974025974027e-05,
301
+ "loss": 0.0478,
302
+ "step": 49
303
+ },
304
+ {
305
+ "epoch": 0.38,
306
+ "learning_rate": 1.7974025974025974e-05,
307
+ "loss": 0.1131,
308
+ "step": 50
309
+ },
310
+ {
311
+ "epoch": 0.39,
312
+ "learning_rate": 1.792207792207792e-05,
313
+ "loss": 0.202,
314
+ "step": 51
315
+ },
316
+ {
317
+ "epoch": 0.4,
318
+ "learning_rate": 1.7870129870129872e-05,
319
+ "loss": 0.0677,
320
+ "step": 52
321
+ },
322
+ {
323
+ "epoch": 0.4,
324
+ "learning_rate": 1.781818181818182e-05,
325
+ "loss": 0.1057,
326
+ "step": 53
327
+ },
328
+ {
329
+ "epoch": 0.41,
330
+ "learning_rate": 1.7766233766233766e-05,
331
+ "loss": 0.0773,
332
+ "step": 54
333
+ },
334
+ {
335
+ "epoch": 0.42,
336
+ "learning_rate": 1.7714285714285717e-05,
337
+ "loss": 0.0599,
338
+ "step": 55
339
+ },
340
+ {
341
+ "epoch": 0.43,
342
+ "learning_rate": 1.7662337662337664e-05,
343
+ "loss": 0.2749,
344
+ "step": 56
345
+ },
346
+ {
347
+ "epoch": 0.44,
348
+ "learning_rate": 1.761038961038961e-05,
349
+ "loss": 0.1707,
350
+ "step": 57
351
+ },
352
+ {
353
+ "epoch": 0.44,
354
+ "learning_rate": 1.7558441558441558e-05,
355
+ "loss": 0.1129,
356
+ "step": 58
357
+ },
358
+ {
359
+ "epoch": 0.45,
360
+ "learning_rate": 1.750649350649351e-05,
361
+ "loss": 0.0496,
362
+ "step": 59
363
+ },
364
+ {
365
+ "epoch": 0.46,
366
+ "learning_rate": 1.7454545454545456e-05,
367
+ "loss": 0.0708,
368
+ "step": 60
369
+ },
370
+ {
371
+ "epoch": 0.47,
372
+ "learning_rate": 1.7402597402597403e-05,
373
+ "loss": 0.0694,
374
+ "step": 61
375
+ },
376
+ {
377
+ "epoch": 0.47,
378
+ "learning_rate": 1.735064935064935e-05,
379
+ "loss": 0.1964,
380
+ "step": 62
381
+ },
382
+ {
383
+ "epoch": 0.48,
384
+ "learning_rate": 1.72987012987013e-05,
385
+ "loss": 0.1586,
386
+ "step": 63
387
+ },
388
+ {
389
+ "epoch": 0.49,
390
+ "learning_rate": 1.7246753246753248e-05,
391
+ "loss": 0.2173,
392
+ "step": 64
393
+ },
394
+ {
395
+ "epoch": 0.5,
396
+ "learning_rate": 1.7194805194805195e-05,
397
+ "loss": 0.162,
398
+ "step": 65
399
+ },
400
+ {
401
+ "epoch": 0.5,
402
+ "learning_rate": 1.7142857142857142e-05,
403
+ "loss": 0.0896,
404
+ "step": 66
405
+ },
406
+ {
407
+ "epoch": 0.51,
408
+ "learning_rate": 1.7090909090909092e-05,
409
+ "loss": 0.0503,
410
+ "step": 67
411
+ },
412
+ {
413
+ "epoch": 0.52,
414
+ "learning_rate": 1.703896103896104e-05,
415
+ "loss": 0.1161,
416
+ "step": 68
417
+ },
418
+ {
419
+ "epoch": 0.53,
420
+ "learning_rate": 1.6987012987012987e-05,
421
+ "loss": 0.0854,
422
+ "step": 69
423
+ },
424
+ {
425
+ "epoch": 0.53,
426
+ "learning_rate": 1.6935064935064934e-05,
427
+ "loss": 0.1247,
428
+ "step": 70
429
+ },
430
+ {
431
+ "epoch": 0.54,
432
+ "learning_rate": 1.6883116883116884e-05,
433
+ "loss": 0.1368,
434
+ "step": 71
435
+ },
436
+ {
437
+ "epoch": 0.55,
438
+ "learning_rate": 1.683116883116883e-05,
439
+ "loss": 0.1041,
440
+ "step": 72
441
+ },
442
+ {
443
+ "epoch": 0.56,
444
+ "learning_rate": 1.677922077922078e-05,
445
+ "loss": 0.0546,
446
+ "step": 73
447
+ },
448
+ {
449
+ "epoch": 0.56,
450
+ "learning_rate": 1.672727272727273e-05,
451
+ "loss": 0.0866,
452
+ "step": 74
453
+ },
454
+ {
455
+ "epoch": 0.57,
456
+ "learning_rate": 1.6675324675324676e-05,
457
+ "loss": 0.0624,
458
+ "step": 75
459
+ },
460
+ {
461
+ "epoch": 0.58,
462
+ "learning_rate": 1.6623376623376627e-05,
463
+ "loss": 0.1149,
464
+ "step": 76
465
+ },
466
+ {
467
+ "epoch": 0.59,
468
+ "learning_rate": 1.6571428571428574e-05,
469
+ "loss": 0.0752,
470
+ "step": 77
471
+ },
472
+ {
473
+ "epoch": 0.6,
474
+ "learning_rate": 1.651948051948052e-05,
475
+ "loss": 0.0457,
476
+ "step": 78
477
+ },
478
+ {
479
+ "epoch": 0.6,
480
+ "learning_rate": 1.646753246753247e-05,
481
+ "loss": 0.0705,
482
+ "step": 79
483
+ },
484
+ {
485
+ "epoch": 0.61,
486
+ "learning_rate": 1.641558441558442e-05,
487
+ "loss": 0.0827,
488
+ "step": 80
489
+ },
490
+ {
491
+ "epoch": 0.62,
492
+ "learning_rate": 1.6363636363636366e-05,
493
+ "loss": 0.0717,
494
+ "step": 81
495
+ },
496
+ {
497
+ "epoch": 0.63,
498
+ "learning_rate": 1.6311688311688313e-05,
499
+ "loss": 0.0804,
500
+ "step": 82
501
+ },
502
+ {
503
+ "epoch": 0.63,
504
+ "learning_rate": 1.6259740259740264e-05,
505
+ "loss": 0.0188,
506
+ "step": 83
507
+ },
508
+ {
509
+ "epoch": 0.64,
510
+ "learning_rate": 1.620779220779221e-05,
511
+ "loss": 0.0457,
512
+ "step": 84
513
+ },
514
+ {
515
+ "epoch": 0.65,
516
+ "learning_rate": 1.6155844155844158e-05,
517
+ "loss": 0.0422,
518
+ "step": 85
519
+ },
520
+ {
521
+ "epoch": 0.66,
522
+ "learning_rate": 1.6103896103896105e-05,
523
+ "loss": 0.0297,
524
+ "step": 86
525
+ },
526
+ {
527
+ "epoch": 0.66,
528
+ "learning_rate": 1.6051948051948056e-05,
529
+ "loss": 0.0408,
530
+ "step": 87
531
+ },
532
+ {
533
+ "epoch": 0.67,
534
+ "learning_rate": 1.6000000000000003e-05,
535
+ "loss": 0.0527,
536
+ "step": 88
537
+ },
538
+ {
539
+ "epoch": 0.68,
540
+ "learning_rate": 1.594805194805195e-05,
541
+ "loss": 0.0234,
542
+ "step": 89
543
+ },
544
+ {
545
+ "epoch": 0.69,
546
+ "learning_rate": 1.5896103896103897e-05,
547
+ "loss": 0.0368,
548
+ "step": 90
549
+ },
550
+ {
551
+ "epoch": 0.69,
552
+ "learning_rate": 1.5844155844155847e-05,
553
+ "loss": 0.0731,
554
+ "step": 91
555
+ },
556
+ {
557
+ "epoch": 0.7,
558
+ "learning_rate": 1.5792207792207795e-05,
559
+ "loss": 0.1104,
560
+ "step": 92
561
+ },
562
+ {
563
+ "epoch": 0.71,
564
+ "learning_rate": 1.5740259740259742e-05,
565
+ "loss": 0.0546,
566
+ "step": 93
567
+ },
568
+ {
569
+ "epoch": 0.72,
570
+ "learning_rate": 1.568831168831169e-05,
571
+ "loss": 0.0226,
572
+ "step": 94
573
+ },
574
+ {
575
+ "epoch": 0.73,
576
+ "learning_rate": 1.563636363636364e-05,
577
+ "loss": 0.0366,
578
+ "step": 95
579
+ },
580
+ {
581
+ "epoch": 0.73,
582
+ "learning_rate": 1.5584415584415587e-05,
583
+ "loss": 0.038,
584
+ "step": 96
585
+ },
586
+ {
587
+ "epoch": 0.74,
588
+ "learning_rate": 1.5532467532467534e-05,
589
+ "loss": 0.041,
590
+ "step": 97
591
+ },
592
+ {
593
+ "epoch": 0.75,
594
+ "learning_rate": 1.548051948051948e-05,
595
+ "loss": 0.0375,
596
+ "step": 98
597
+ },
598
+ {
599
+ "epoch": 0.76,
600
+ "learning_rate": 1.542857142857143e-05,
601
+ "loss": 0.0389,
602
+ "step": 99
603
+ },
604
+ {
605
+ "epoch": 0.76,
606
+ "learning_rate": 1.537662337662338e-05,
607
+ "loss": 0.022,
608
+ "step": 100
609
+ },
610
+ {
611
+ "epoch": 0.77,
612
+ "learning_rate": 1.5324675324675326e-05,
613
+ "loss": 0.0569,
614
+ "step": 101
615
+ },
616
+ {
617
+ "epoch": 0.78,
618
+ "learning_rate": 1.5272727272727276e-05,
619
+ "loss": 0.0172,
620
+ "step": 102
621
+ },
622
+ {
623
+ "epoch": 0.79,
624
+ "learning_rate": 1.5220779220779223e-05,
625
+ "loss": 0.0754,
626
+ "step": 103
627
+ },
628
+ {
629
+ "epoch": 0.79,
630
+ "learning_rate": 1.516883116883117e-05,
631
+ "loss": 0.0626,
632
+ "step": 104
633
+ },
634
+ {
635
+ "epoch": 0.8,
636
+ "learning_rate": 1.511688311688312e-05,
637
+ "loss": 0.0515,
638
+ "step": 105
639
+ },
640
+ {
641
+ "epoch": 0.81,
642
+ "learning_rate": 1.5064935064935066e-05,
643
+ "loss": 0.0345,
644
+ "step": 106
645
+ },
646
+ {
647
+ "epoch": 0.82,
648
+ "learning_rate": 1.5012987012987015e-05,
649
+ "loss": 0.0504,
650
+ "step": 107
651
+ },
652
+ {
653
+ "epoch": 0.82,
654
+ "learning_rate": 1.4961038961038962e-05,
655
+ "loss": 0.0329,
656
+ "step": 108
657
+ },
658
+ {
659
+ "epoch": 0.83,
660
+ "learning_rate": 1.4909090909090911e-05,
661
+ "loss": 0.0719,
662
+ "step": 109
663
+ },
664
+ {
665
+ "epoch": 0.84,
666
+ "learning_rate": 1.4857142857142858e-05,
667
+ "loss": 0.0417,
668
+ "step": 110
669
+ },
670
+ {
671
+ "epoch": 0.85,
672
+ "learning_rate": 1.4805194805194807e-05,
673
+ "loss": 0.0551,
674
+ "step": 111
675
+ },
676
+ {
677
+ "epoch": 0.85,
678
+ "learning_rate": 1.4753246753246754e-05,
679
+ "loss": 0.0299,
680
+ "step": 112
681
+ },
682
+ {
683
+ "epoch": 0.86,
684
+ "learning_rate": 1.4701298701298703e-05,
685
+ "loss": 0.024,
686
+ "step": 113
687
+ },
688
+ {
689
+ "epoch": 0.87,
690
+ "learning_rate": 1.464935064935065e-05,
691
+ "loss": 0.0328,
692
+ "step": 114
693
+ },
694
+ {
695
+ "epoch": 0.88,
696
+ "learning_rate": 1.45974025974026e-05,
697
+ "loss": 0.0462,
698
+ "step": 115
699
+ },
700
+ {
701
+ "epoch": 0.89,
702
+ "learning_rate": 1.4545454545454546e-05,
703
+ "loss": 0.0286,
704
+ "step": 116
705
+ },
706
+ {
707
+ "epoch": 0.89,
708
+ "learning_rate": 1.4493506493506495e-05,
709
+ "loss": 0.0259,
710
+ "step": 117
711
+ },
712
+ {
713
+ "epoch": 0.9,
714
+ "learning_rate": 1.4441558441558442e-05,
715
+ "loss": 0.0321,
716
+ "step": 118
717
+ },
718
+ {
719
+ "epoch": 0.91,
720
+ "learning_rate": 1.4389610389610391e-05,
721
+ "loss": 0.0324,
722
+ "step": 119
723
+ },
724
+ {
725
+ "epoch": 0.92,
726
+ "learning_rate": 1.433766233766234e-05,
727
+ "loss": 0.1605,
728
+ "step": 120
729
+ },
730
+ {
731
+ "epoch": 0.92,
732
+ "learning_rate": 1.4285714285714287e-05,
733
+ "loss": 0.0466,
734
+ "step": 121
735
+ },
736
+ {
737
+ "epoch": 0.93,
738
+ "learning_rate": 1.4233766233766236e-05,
739
+ "loss": 0.0628,
740
+ "step": 122
741
+ },
742
+ {
743
+ "epoch": 0.94,
744
+ "learning_rate": 1.4181818181818183e-05,
745
+ "loss": 0.0276,
746
+ "step": 123
747
+ },
748
+ {
749
+ "epoch": 0.95,
750
+ "learning_rate": 1.4129870129870132e-05,
751
+ "loss": 0.0371,
752
+ "step": 124
753
+ },
754
+ {
755
+ "epoch": 0.95,
756
+ "learning_rate": 1.4077922077922079e-05,
757
+ "loss": 0.0115,
758
+ "step": 125
759
+ },
760
+ {
761
+ "epoch": 0.96,
762
+ "learning_rate": 1.4025974025974028e-05,
763
+ "loss": 0.0399,
764
+ "step": 126
765
+ },
766
+ {
767
+ "epoch": 0.97,
768
+ "learning_rate": 1.3974025974025975e-05,
769
+ "loss": 0.043,
770
+ "step": 127
771
+ },
772
+ {
773
+ "epoch": 0.98,
774
+ "learning_rate": 1.3922077922077924e-05,
775
+ "loss": 0.0543,
776
+ "step": 128
777
+ },
778
+ {
779
+ "epoch": 0.98,
780
+ "learning_rate": 1.3870129870129871e-05,
781
+ "loss": 0.0232,
782
+ "step": 129
783
+ },
784
+ {
785
+ "epoch": 0.99,
786
+ "learning_rate": 1.381818181818182e-05,
787
+ "loss": 0.0542,
788
+ "step": 130
789
+ },
790
+ {
791
+ "epoch": 1.0,
792
+ "learning_rate": 1.3766233766233767e-05,
793
+ "loss": 0.0232,
794
+ "step": 131
795
+ },
796
+ {
797
+ "epoch": 1.0,
798
+ "eval_loss": 0.029073596000671387,
799
+ "eval_pearson": 0.9236611784671435,
800
+ "eval_runtime": 5.5585,
801
+ "eval_samples_per_second": 41.738,
802
+ "eval_spearmanr": 0.8832765384834576,
803
+ "eval_steps_per_second": 2.699,
804
+ "step": 131
805
+ },
806
+ {
807
+ "epoch": 1.01,
808
+ "learning_rate": 1.3714285714285716e-05,
809
+ "loss": 0.0361,
810
+ "step": 132
811
+ },
812
+ {
813
+ "epoch": 1.02,
814
+ "learning_rate": 1.3662337662337663e-05,
815
+ "loss": 0.0235,
816
+ "step": 133
817
+ },
818
+ {
819
+ "epoch": 1.02,
820
+ "learning_rate": 1.3610389610389612e-05,
821
+ "loss": 0.0195,
822
+ "step": 134
823
+ },
824
+ {
825
+ "epoch": 1.03,
826
+ "learning_rate": 1.3558441558441559e-05,
827
+ "loss": 0.0482,
828
+ "step": 135
829
+ },
830
+ {
831
+ "epoch": 1.04,
832
+ "learning_rate": 1.3506493506493508e-05,
833
+ "loss": 0.0332,
834
+ "step": 136
835
+ },
836
+ {
837
+ "epoch": 1.05,
838
+ "learning_rate": 1.3454545454545455e-05,
839
+ "loss": 0.0261,
840
+ "step": 137
841
+ },
842
+ {
843
+ "epoch": 1.05,
844
+ "learning_rate": 1.3402597402597404e-05,
845
+ "loss": 0.0681,
846
+ "step": 138
847
+ },
848
+ {
849
+ "epoch": 1.06,
850
+ "learning_rate": 1.3350649350649351e-05,
851
+ "loss": 0.0216,
852
+ "step": 139
853
+ },
854
+ {
855
+ "epoch": 1.07,
856
+ "learning_rate": 1.32987012987013e-05,
857
+ "loss": 0.0326,
858
+ "step": 140
859
+ },
860
+ {
861
+ "epoch": 1.08,
862
+ "learning_rate": 1.3246753246753249e-05,
863
+ "loss": 0.0253,
864
+ "step": 141
865
+ },
866
+ {
867
+ "epoch": 1.08,
868
+ "learning_rate": 1.3194805194805196e-05,
869
+ "loss": 0.0286,
870
+ "step": 142
871
+ },
872
+ {
873
+ "epoch": 1.09,
874
+ "learning_rate": 1.3142857142857145e-05,
875
+ "loss": 0.0096,
876
+ "step": 143
877
+ },
878
+ {
879
+ "epoch": 1.1,
880
+ "learning_rate": 1.3090909090909092e-05,
881
+ "loss": 0.0412,
882
+ "step": 144
883
+ },
884
+ {
885
+ "epoch": 1.11,
886
+ "learning_rate": 1.303896103896104e-05,
887
+ "loss": 0.0444,
888
+ "step": 145
889
+ },
890
+ {
891
+ "epoch": 1.11,
892
+ "learning_rate": 1.2987012987012988e-05,
893
+ "loss": 0.0393,
894
+ "step": 146
895
+ },
896
+ {
897
+ "epoch": 1.12,
898
+ "learning_rate": 1.2935064935064937e-05,
899
+ "loss": 0.0186,
900
+ "step": 147
901
+ },
902
+ {
903
+ "epoch": 1.13,
904
+ "learning_rate": 1.2883116883116884e-05,
905
+ "loss": 0.0301,
906
+ "step": 148
907
+ },
908
+ {
909
+ "epoch": 1.14,
910
+ "learning_rate": 1.2831168831168832e-05,
911
+ "loss": 0.0099,
912
+ "step": 149
913
+ },
914
+ {
915
+ "epoch": 1.15,
916
+ "learning_rate": 1.277922077922078e-05,
917
+ "loss": 0.0252,
918
+ "step": 150
919
+ },
920
+ {
921
+ "epoch": 1.15,
922
+ "learning_rate": 1.2727272727272728e-05,
923
+ "loss": 0.0108,
924
+ "step": 151
925
+ },
926
+ {
927
+ "epoch": 1.16,
928
+ "learning_rate": 1.2675324675324676e-05,
929
+ "loss": 0.0447,
930
+ "step": 152
931
+ },
932
+ {
933
+ "epoch": 1.17,
934
+ "learning_rate": 1.2623376623376624e-05,
935
+ "loss": 0.0567,
936
+ "step": 153
937
+ },
938
+ {
939
+ "epoch": 1.18,
940
+ "learning_rate": 1.2571428571428572e-05,
941
+ "loss": 0.0347,
942
+ "step": 154
943
+ },
944
+ {
945
+ "epoch": 1.18,
946
+ "learning_rate": 1.251948051948052e-05,
947
+ "loss": 0.0186,
948
+ "step": 155
949
+ },
950
+ {
951
+ "epoch": 1.19,
952
+ "learning_rate": 1.2467532467532468e-05,
953
+ "loss": 0.0303,
954
+ "step": 156
955
+ },
956
+ {
957
+ "epoch": 1.2,
958
+ "learning_rate": 1.2415584415584416e-05,
959
+ "loss": 0.0286,
960
+ "step": 157
961
+ },
962
+ {
963
+ "epoch": 1.21,
964
+ "learning_rate": 1.2363636363636364e-05,
965
+ "loss": 0.0182,
966
+ "step": 158
967
+ },
968
+ {
969
+ "epoch": 1.21,
970
+ "learning_rate": 1.2311688311688312e-05,
971
+ "loss": 0.0155,
972
+ "step": 159
973
+ },
974
+ {
975
+ "epoch": 1.22,
976
+ "learning_rate": 1.2259740259740261e-05,
977
+ "loss": 0.0253,
978
+ "step": 160
979
+ },
980
+ {
981
+ "epoch": 1.23,
982
+ "learning_rate": 1.2207792207792208e-05,
983
+ "loss": 0.0128,
984
+ "step": 161
985
+ },
986
+ {
987
+ "epoch": 1.24,
988
+ "learning_rate": 1.2155844155844157e-05,
989
+ "loss": 0.0074,
990
+ "step": 162
991
+ },
992
+ {
993
+ "epoch": 1.24,
994
+ "learning_rate": 1.2103896103896104e-05,
995
+ "loss": 0.0284,
996
+ "step": 163
997
+ },
998
+ {
999
+ "epoch": 1.25,
1000
+ "learning_rate": 1.2051948051948053e-05,
1001
+ "loss": 0.0389,
1002
+ "step": 164
1003
+ },
1004
+ {
1005
+ "epoch": 1.26,
1006
+ "learning_rate": 1.2e-05,
1007
+ "loss": 0.0165,
1008
+ "step": 165
1009
+ },
1010
+ {
1011
+ "epoch": 1.27,
1012
+ "learning_rate": 1.1948051948051949e-05,
1013
+ "loss": 0.0307,
1014
+ "step": 166
1015
+ },
1016
+ {
1017
+ "epoch": 1.27,
1018
+ "learning_rate": 1.1896103896103896e-05,
1019
+ "loss": 0.016,
1020
+ "step": 167
1021
+ },
1022
+ {
1023
+ "epoch": 1.28,
1024
+ "learning_rate": 1.1844155844155845e-05,
1025
+ "loss": 0.031,
1026
+ "step": 168
1027
+ },
1028
+ {
1029
+ "epoch": 1.29,
1030
+ "learning_rate": 1.1792207792207792e-05,
1031
+ "loss": 0.0083,
1032
+ "step": 169
1033
+ },
1034
+ {
1035
+ "epoch": 1.3,
1036
+ "learning_rate": 1.1740259740259741e-05,
1037
+ "loss": 0.0577,
1038
+ "step": 170
1039
+ },
1040
+ {
1041
+ "epoch": 1.31,
1042
+ "learning_rate": 1.1688311688311688e-05,
1043
+ "loss": 0.0133,
1044
+ "step": 171
1045
+ },
1046
+ {
1047
+ "epoch": 1.31,
1048
+ "learning_rate": 1.1636363636363637e-05,
1049
+ "loss": 0.017,
1050
+ "step": 172
1051
+ },
1052
+ {
1053
+ "epoch": 1.32,
1054
+ "learning_rate": 1.1584415584415584e-05,
1055
+ "loss": 0.0206,
1056
+ "step": 173
1057
+ },
1058
+ {
1059
+ "epoch": 1.33,
1060
+ "learning_rate": 1.1532467532467533e-05,
1061
+ "loss": 0.0482,
1062
+ "step": 174
1063
+ },
1064
+ {
1065
+ "epoch": 1.34,
1066
+ "learning_rate": 1.148051948051948e-05,
1067
+ "loss": 0.0467,
1068
+ "step": 175
1069
+ },
1070
+ {
1071
+ "epoch": 1.34,
1072
+ "learning_rate": 1.1428571428571429e-05,
1073
+ "loss": 0.0195,
1074
+ "step": 176
1075
+ },
1076
+ {
1077
+ "epoch": 1.35,
1078
+ "learning_rate": 1.1376623376623376e-05,
1079
+ "loss": 0.0481,
1080
+ "step": 177
1081
+ },
1082
+ {
1083
+ "epoch": 1.36,
1084
+ "learning_rate": 1.1324675324675325e-05,
1085
+ "loss": 0.0189,
1086
+ "step": 178
1087
+ },
1088
+ {
1089
+ "epoch": 1.37,
1090
+ "learning_rate": 1.1272727272727272e-05,
1091
+ "loss": 0.0498,
1092
+ "step": 179
1093
+ },
1094
+ {
1095
+ "epoch": 1.37,
1096
+ "learning_rate": 1.1220779220779221e-05,
1097
+ "loss": 0.0351,
1098
+ "step": 180
1099
+ },
1100
+ {
1101
+ "epoch": 1.38,
1102
+ "learning_rate": 1.116883116883117e-05,
1103
+ "loss": 0.0341,
1104
+ "step": 181
1105
+ },
1106
+ {
1107
+ "epoch": 1.39,
1108
+ "learning_rate": 1.1116883116883117e-05,
1109
+ "loss": 0.0659,
1110
+ "step": 182
1111
+ },
1112
+ {
1113
+ "epoch": 1.4,
1114
+ "learning_rate": 1.1064935064935066e-05,
1115
+ "loss": 0.0198,
1116
+ "step": 183
1117
+ },
1118
+ {
1119
+ "epoch": 1.4,
1120
+ "learning_rate": 1.1012987012987013e-05,
1121
+ "loss": 0.0352,
1122
+ "step": 184
1123
+ },
1124
+ {
1125
+ "epoch": 1.41,
1126
+ "learning_rate": 1.0961038961038962e-05,
1127
+ "loss": 0.0129,
1128
+ "step": 185
1129
+ },
1130
+ {
1131
+ "epoch": 1.42,
1132
+ "learning_rate": 1.0909090909090909e-05,
1133
+ "loss": 0.0353,
1134
+ "step": 186
1135
+ },
1136
+ {
1137
+ "epoch": 1.43,
1138
+ "learning_rate": 1.0857142857142858e-05,
1139
+ "loss": 0.0084,
1140
+ "step": 187
1141
+ },
1142
+ {
1143
+ "epoch": 1.44,
1144
+ "learning_rate": 1.0805194805194805e-05,
1145
+ "loss": 0.02,
1146
+ "step": 188
1147
+ },
1148
+ {
1149
+ "epoch": 1.44,
1150
+ "learning_rate": 1.0753246753246754e-05,
1151
+ "loss": 0.0106,
1152
+ "step": 189
1153
+ },
1154
+ {
1155
+ "epoch": 1.45,
1156
+ "learning_rate": 1.0701298701298701e-05,
1157
+ "loss": 0.0253,
1158
+ "step": 190
1159
+ },
1160
+ {
1161
+ "epoch": 1.46,
1162
+ "learning_rate": 1.064935064935065e-05,
1163
+ "loss": 0.0116,
1164
+ "step": 191
1165
+ },
1166
+ {
1167
+ "epoch": 1.47,
1168
+ "learning_rate": 1.0597402597402597e-05,
1169
+ "loss": 0.0099,
1170
+ "step": 192
1171
+ },
1172
+ {
1173
+ "epoch": 1.47,
1174
+ "learning_rate": 1.0545454545454546e-05,
1175
+ "loss": 0.0845,
1176
+ "step": 193
1177
+ },
1178
+ {
1179
+ "epoch": 1.48,
1180
+ "learning_rate": 1.0493506493506493e-05,
1181
+ "loss": 0.0236,
1182
+ "step": 194
1183
+ },
1184
+ {
1185
+ "epoch": 1.49,
1186
+ "learning_rate": 1.0441558441558442e-05,
1187
+ "loss": 0.0299,
1188
+ "step": 195
1189
+ },
1190
+ {
1191
+ "epoch": 1.5,
1192
+ "learning_rate": 1.0389610389610389e-05,
1193
+ "loss": 0.01,
1194
+ "step": 196
1195
+ },
1196
+ {
1197
+ "epoch": 1.5,
1198
+ "learning_rate": 1.0337662337662338e-05,
1199
+ "loss": 0.0154,
1200
+ "step": 197
1201
+ },
1202
+ {
1203
+ "epoch": 1.51,
1204
+ "learning_rate": 1.0285714285714285e-05,
1205
+ "loss": 0.0095,
1206
+ "step": 198
1207
+ },
1208
+ {
1209
+ "epoch": 1.52,
1210
+ "learning_rate": 1.0233766233766234e-05,
1211
+ "loss": 0.0278,
1212
+ "step": 199
1213
+ },
1214
+ {
1215
+ "epoch": 1.53,
1216
+ "learning_rate": 1.0181818181818182e-05,
1217
+ "loss": 0.0228,
1218
+ "step": 200
1219
+ },
1220
+ {
1221
+ "epoch": 1.53,
1222
+ "learning_rate": 1.012987012987013e-05,
1223
+ "loss": 0.0252,
1224
+ "step": 201
1225
+ },
1226
+ {
1227
+ "epoch": 1.54,
1228
+ "learning_rate": 1.0077922077922078e-05,
1229
+ "loss": 0.085,
1230
+ "step": 202
1231
+ },
1232
+ {
1233
+ "epoch": 1.55,
1234
+ "learning_rate": 1.0025974025974026e-05,
1235
+ "loss": 0.0046,
1236
+ "step": 203
1237
+ },
1238
+ {
1239
+ "epoch": 1.56,
1240
+ "learning_rate": 9.974025974025974e-06,
1241
+ "loss": 0.0206,
1242
+ "step": 204
1243
+ },
1244
+ {
1245
+ "epoch": 1.56,
1246
+ "learning_rate": 9.922077922077923e-06,
1247
+ "loss": 0.046,
1248
+ "step": 205
1249
+ },
1250
+ {
1251
+ "epoch": 1.57,
1252
+ "learning_rate": 9.87012987012987e-06,
1253
+ "loss": 0.0137,
1254
+ "step": 206
1255
+ },
1256
+ {
1257
+ "epoch": 1.58,
1258
+ "learning_rate": 9.81818181818182e-06,
1259
+ "loss": 0.012,
1260
+ "step": 207
1261
+ },
1262
+ {
1263
+ "epoch": 1.59,
1264
+ "learning_rate": 9.766233766233766e-06,
1265
+ "loss": 0.0504,
1266
+ "step": 208
1267
+ },
1268
+ {
1269
+ "epoch": 1.6,
1270
+ "learning_rate": 9.714285714285715e-06,
1271
+ "loss": 0.0137,
1272
+ "step": 209
1273
+ },
1274
+ {
1275
+ "epoch": 1.6,
1276
+ "learning_rate": 9.662337662337662e-06,
1277
+ "loss": 0.0191,
1278
+ "step": 210
1279
+ },
1280
+ {
1281
+ "epoch": 1.61,
1282
+ "learning_rate": 9.610389610389611e-06,
1283
+ "loss": 0.016,
1284
+ "step": 211
1285
+ },
1286
+ {
1287
+ "epoch": 1.62,
1288
+ "learning_rate": 9.558441558441558e-06,
1289
+ "loss": 0.0511,
1290
+ "step": 212
1291
+ },
1292
+ {
1293
+ "epoch": 1.63,
1294
+ "learning_rate": 9.506493506493507e-06,
1295
+ "loss": 0.0233,
1296
+ "step": 213
1297
+ },
1298
+ {
1299
+ "epoch": 1.63,
1300
+ "learning_rate": 9.454545454545456e-06,
1301
+ "loss": 0.0301,
1302
+ "step": 214
1303
+ },
1304
+ {
1305
+ "epoch": 1.64,
1306
+ "learning_rate": 9.402597402597403e-06,
1307
+ "loss": 0.0087,
1308
+ "step": 215
1309
+ },
1310
+ {
1311
+ "epoch": 1.65,
1312
+ "learning_rate": 9.350649350649352e-06,
1313
+ "loss": 0.0112,
1314
+ "step": 216
1315
+ },
1316
+ {
1317
+ "epoch": 1.66,
1318
+ "learning_rate": 9.298701298701299e-06,
1319
+ "loss": 0.016,
1320
+ "step": 217
1321
+ },
1322
+ {
1323
+ "epoch": 1.66,
1324
+ "learning_rate": 9.246753246753248e-06,
1325
+ "loss": 0.0158,
1326
+ "step": 218
1327
+ },
1328
+ {
1329
+ "epoch": 1.67,
1330
+ "learning_rate": 9.194805194805195e-06,
1331
+ "loss": 0.0235,
1332
+ "step": 219
1333
+ },
1334
+ {
1335
+ "epoch": 1.68,
1336
+ "learning_rate": 9.142857142857144e-06,
1337
+ "loss": 0.0137,
1338
+ "step": 220
1339
+ },
1340
+ {
1341
+ "epoch": 1.69,
1342
+ "learning_rate": 9.090909090909091e-06,
1343
+ "loss": 0.0099,
1344
+ "step": 221
1345
+ },
1346
+ {
1347
+ "epoch": 1.69,
1348
+ "learning_rate": 9.03896103896104e-06,
1349
+ "loss": 0.0494,
1350
+ "step": 222
1351
+ },
1352
+ {
1353
+ "epoch": 1.7,
1354
+ "learning_rate": 8.987012987012987e-06,
1355
+ "loss": 0.0184,
1356
+ "step": 223
1357
+ },
1358
+ {
1359
+ "epoch": 1.71,
1360
+ "learning_rate": 8.935064935064936e-06,
1361
+ "loss": 0.0238,
1362
+ "step": 224
1363
+ },
1364
+ {
1365
+ "epoch": 1.72,
1366
+ "learning_rate": 8.883116883116883e-06,
1367
+ "loss": 0.0168,
1368
+ "step": 225
1369
+ },
1370
+ {
1371
+ "epoch": 1.73,
1372
+ "learning_rate": 8.831168831168832e-06,
1373
+ "loss": 0.0187,
1374
+ "step": 226
1375
+ },
1376
+ {
1377
+ "epoch": 1.73,
1378
+ "learning_rate": 8.779220779220779e-06,
1379
+ "loss": 0.029,
1380
+ "step": 227
1381
+ },
1382
+ {
1383
+ "epoch": 1.74,
1384
+ "learning_rate": 8.727272727272728e-06,
1385
+ "loss": 0.0259,
1386
+ "step": 228
1387
+ },
1388
+ {
1389
+ "epoch": 1.75,
1390
+ "learning_rate": 8.675324675324675e-06,
1391
+ "loss": 0.0128,
1392
+ "step": 229
1393
+ },
1394
+ {
1395
+ "epoch": 1.76,
1396
+ "learning_rate": 8.623376623376624e-06,
1397
+ "loss": 0.0235,
1398
+ "step": 230
1399
+ },
1400
+ {
1401
+ "epoch": 1.76,
1402
+ "learning_rate": 8.571428571428571e-06,
1403
+ "loss": 0.0514,
1404
+ "step": 231
1405
+ },
1406
+ {
1407
+ "epoch": 1.77,
1408
+ "learning_rate": 8.51948051948052e-06,
1409
+ "loss": 0.0147,
1410
+ "step": 232
1411
+ },
1412
+ {
1413
+ "epoch": 1.78,
1414
+ "learning_rate": 8.467532467532467e-06,
1415
+ "loss": 0.0107,
1416
+ "step": 233
1417
+ },
1418
+ {
1419
+ "epoch": 1.79,
1420
+ "learning_rate": 8.415584415584416e-06,
1421
+ "loss": 0.0391,
1422
+ "step": 234
1423
+ },
1424
+ {
1425
+ "epoch": 1.79,
1426
+ "learning_rate": 8.363636363636365e-06,
1427
+ "loss": 0.0082,
1428
+ "step": 235
1429
+ },
1430
+ {
1431
+ "epoch": 1.8,
1432
+ "learning_rate": 8.311688311688313e-06,
1433
+ "loss": 0.0744,
1434
+ "step": 236
1435
+ },
1436
+ {
1437
+ "epoch": 1.81,
1438
+ "learning_rate": 8.25974025974026e-06,
1439
+ "loss": 0.0284,
1440
+ "step": 237
1441
+ },
1442
+ {
1443
+ "epoch": 1.82,
1444
+ "learning_rate": 8.20779220779221e-06,
1445
+ "loss": 0.0066,
1446
+ "step": 238
1447
+ },
1448
+ {
1449
+ "epoch": 1.82,
1450
+ "learning_rate": 8.155844155844157e-06,
1451
+ "loss": 0.0103,
1452
+ "step": 239
1453
+ },
1454
+ {
1455
+ "epoch": 1.83,
1456
+ "learning_rate": 8.103896103896105e-06,
1457
+ "loss": 0.0096,
1458
+ "step": 240
1459
+ },
1460
+ {
1461
+ "epoch": 1.84,
1462
+ "learning_rate": 8.051948051948052e-06,
1463
+ "loss": 0.0167,
1464
+ "step": 241
1465
+ },
1466
+ {
1467
+ "epoch": 1.85,
1468
+ "learning_rate": 8.000000000000001e-06,
1469
+ "loss": 0.0107,
1470
+ "step": 242
1471
+ },
1472
+ {
1473
+ "epoch": 1.85,
1474
+ "learning_rate": 7.948051948051948e-06,
1475
+ "loss": 0.009,
1476
+ "step": 243
1477
+ },
1478
+ {
1479
+ "epoch": 1.86,
1480
+ "learning_rate": 7.896103896103897e-06,
1481
+ "loss": 0.0153,
1482
+ "step": 244
1483
+ },
1484
+ {
1485
+ "epoch": 1.87,
1486
+ "learning_rate": 7.844155844155844e-06,
1487
+ "loss": 0.0178,
1488
+ "step": 245
1489
+ },
1490
+ {
1491
+ "epoch": 1.88,
1492
+ "learning_rate": 7.792207792207793e-06,
1493
+ "loss": 0.0057,
1494
+ "step": 246
1495
+ },
1496
+ {
1497
+ "epoch": 1.89,
1498
+ "learning_rate": 7.74025974025974e-06,
1499
+ "loss": 0.0267,
1500
+ "step": 247
1501
+ },
1502
+ {
1503
+ "epoch": 1.89,
1504
+ "learning_rate": 7.68831168831169e-06,
1505
+ "loss": 0.0199,
1506
+ "step": 248
1507
+ },
1508
+ {
1509
+ "epoch": 1.9,
1510
+ "learning_rate": 7.636363636363638e-06,
1511
+ "loss": 0.0298,
1512
+ "step": 249
1513
+ },
1514
+ {
1515
+ "epoch": 1.91,
1516
+ "learning_rate": 7.584415584415585e-06,
1517
+ "loss": 0.0187,
1518
+ "step": 250
1519
+ },
1520
+ {
1521
+ "epoch": 1.92,
1522
+ "learning_rate": 7.532467532467533e-06,
1523
+ "loss": 0.0218,
1524
+ "step": 251
1525
+ },
1526
+ {
1527
+ "epoch": 1.92,
1528
+ "learning_rate": 7.480519480519481e-06,
1529
+ "loss": 0.0058,
1530
+ "step": 252
1531
+ },
1532
+ {
1533
+ "epoch": 1.93,
1534
+ "learning_rate": 7.428571428571429e-06,
1535
+ "loss": 0.0172,
1536
+ "step": 253
1537
+ },
1538
+ {
1539
+ "epoch": 1.94,
1540
+ "learning_rate": 7.376623376623377e-06,
1541
+ "loss": 0.0095,
1542
+ "step": 254
1543
+ },
1544
+ {
1545
+ "epoch": 1.95,
1546
+ "learning_rate": 7.324675324675325e-06,
1547
+ "loss": 0.0243,
1548
+ "step": 255
1549
+ },
1550
+ {
1551
+ "epoch": 1.95,
1552
+ "learning_rate": 7.272727272727273e-06,
1553
+ "loss": 0.0137,
1554
+ "step": 256
1555
+ },
1556
+ {
1557
+ "epoch": 1.96,
1558
+ "learning_rate": 7.220779220779221e-06,
1559
+ "loss": 0.0328,
1560
+ "step": 257
1561
+ },
1562
+ {
1563
+ "epoch": 1.97,
1564
+ "learning_rate": 7.16883116883117e-06,
1565
+ "loss": 0.023,
1566
+ "step": 258
1567
+ },
1568
+ {
1569
+ "epoch": 1.98,
1570
+ "learning_rate": 7.116883116883118e-06,
1571
+ "loss": 0.0512,
1572
+ "step": 259
1573
+ },
1574
+ {
1575
+ "epoch": 1.98,
1576
+ "learning_rate": 7.064935064935066e-06,
1577
+ "loss": 0.0106,
1578
+ "step": 260
1579
+ },
1580
+ {
1581
+ "epoch": 1.99,
1582
+ "learning_rate": 7.012987012987014e-06,
1583
+ "loss": 0.0226,
1584
+ "step": 261
1585
+ },
1586
+ {
1587
+ "epoch": 2.0,
1588
+ "learning_rate": 6.961038961038962e-06,
1589
+ "loss": 0.0024,
1590
+ "step": 262
1591
+ },
1592
+ {
1593
+ "epoch": 2.0,
1594
+ "eval_loss": 0.021491218358278275,
1595
+ "eval_pearson": 0.9619413875691463,
1596
+ "eval_runtime": 5.3773,
1597
+ "eval_samples_per_second": 43.144,
1598
+ "eval_spearmanr": 0.9085946142766584,
1599
+ "eval_steps_per_second": 2.79,
1600
+ "step": 262
1601
+ }
1602
+ ],
1603
+ "max_steps": 393,
1604
+ "num_train_epochs": 3,
1605
+ "total_flos": 99532661929848.0,
1606
+ "trial_name": null,
1607
+ "trial_params": null
1608
+ }
checkpoint-262/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa3be555654ef58dc4291062e451cc4f3b395b85f9521a093bdc71de5f5c2938
3
+ size 3311
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:76fba4cdc57dc74a4a78327d0ee13de9a386bdd62a74c9d772573f5f297c46ce
3
  size 46750353
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cdc6504aa0540f996b73c710e67e68a2602d5d34ac923fc95f2c70e0ad858a5
3
  size 46750353
runs/Jun17_19-54-25_8eb9ab6844d7/events.out.tfevents.1655495688.8eb9ab6844d7.74.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:eb0e178ce7b18685b36a8f9d4070ff6933f69d441975ad80572848137b7b28fe
3
- size 24420
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:01b0ab600de7a3cf5d834da664e88cd579cd9d4c367ddb3c06a7d974ec6b397e
3
+ size 45362