Text Classification
Transformers
PyTorch
English
deberta-v2
reward-model
reward_model
RLHF
Inference Endpoints
theblackcat102 commited on
Commit
24b78a2
1 Parent(s): 2d05120

Upload 13 files

Browse files
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[MASK]": 128000
3
+ }
config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/deberta-v3-large",
3
+ "architectures": [
4
+ "DebertaV2ForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "hidden_act": "gelu",
8
+ "hidden_dropout_prob": 0.1,
9
+ "hidden_size": 1024,
10
+ "id2label": {
11
+ "0": "REWARD"
12
+ },
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 4096,
15
+ "label2id": {
16
+ "REWARD": 0
17
+ },
18
+ "layer_norm_eps": 1e-07,
19
+ "max_position_embeddings": 512,
20
+ "max_relative_positions": -1,
21
+ "model_type": "deberta-v2",
22
+ "norm_rel_ebd": "layer_norm",
23
+ "num_attention_heads": 16,
24
+ "num_hidden_layers": 24,
25
+ "pad_token_id": 0,
26
+ "pooler_dropout": 0,
27
+ "pooler_hidden_act": "gelu",
28
+ "pooler_hidden_size": 1024,
29
+ "pos_att_type": [
30
+ "p2c",
31
+ "c2p"
32
+ ],
33
+ "position_biased_input": false,
34
+ "position_buckets": 256,
35
+ "problem_type": "regression",
36
+ "relative_attention": true,
37
+ "share_att_key": true,
38
+ "torch_dtype": "float32",
39
+ "transformers_version": "4.25.1",
40
+ "type_vocab_size": 0,
41
+ "vocab_size": 128100
42
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ae362c80bd91e9e73c9aac411565ddadb46ac62ac86d0790b0a5b0319472fef
3
+ size 3480731481
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:903103d4990515d537c46262632aef9a8f7d0a815edd289868c9967e5b15c265
3
+ size 1740389291
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2428b8cac3bfdf85570df6764e2e1f50da404b41712682d4c39309cd3074ea2
3
+ size 14567
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:65725e6f74c1a76777f848d1c32499753466866e08e36dea01cdb5d6bbb40c1a
3
+ size 559
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:36d48408117e3b27e140662f5d18621485e88b5d1353555e6bcc7c8ee1a9de88
3
+ size 559
special_tokens_map.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "[CLS]",
3
+ "cls_token": "[CLS]",
4
+ "eos_token": "[SEP]",
5
+ "mask_token": "[MASK]",
6
+ "pad_token": "[PAD]",
7
+ "sep_token": "[SEP]",
8
+ "unk_token": "[UNK]"
9
+ }
spm.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
3
+ size 2464616
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "[CLS]",
3
+ "cls_token": "[CLS]",
4
+ "do_lower_case": false,
5
+ "eos_token": "[SEP]",
6
+ "mask_token": "[MASK]",
7
+ "model_max_length": 1000000000000000019884624838656,
8
+ "name_or_path": "microsoft/deberta-v3-large",
9
+ "pad_token": "[PAD]",
10
+ "sep_token": "[SEP]",
11
+ "sp_model_kwargs": {},
12
+ "special_tokens_map_file": null,
13
+ "split_by_punct": false,
14
+ "tokenizer_class": "DebertaV2Tokenizer",
15
+ "unk_token": "[UNK]",
16
+ "vocab_type": "spm"
17
+ }
trainer_state.json ADDED
@@ -0,0 +1,1786 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.301327088212334,
5
+ "global_step": 2500,
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": 1.8e-07,
13
+ "loss": 0.6935,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 3.8e-07,
19
+ "loss": 0.6974,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.02,
24
+ "learning_rate": 5.800000000000001e-07,
25
+ "loss": 0.694,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.02,
30
+ "learning_rate": 7.8e-07,
31
+ "loss": 0.6966,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.03,
36
+ "learning_rate": 9.800000000000001e-07,
37
+ "loss": 0.6948,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.03,
42
+ "learning_rate": 1.1800000000000001e-06,
43
+ "loss": 0.6957,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.04,
48
+ "learning_rate": 1.3800000000000001e-06,
49
+ "loss": 0.6952,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.04,
54
+ "learning_rate": 1.5800000000000001e-06,
55
+ "loss": 0.6972,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.05,
60
+ "learning_rate": 1.7800000000000001e-06,
61
+ "loss": 0.6925,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.05,
66
+ "learning_rate": 1.98e-06,
67
+ "loss": 0.6903,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.06,
72
+ "learning_rate": 2.1800000000000003e-06,
73
+ "loss": 0.6837,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.06,
78
+ "learning_rate": 2.38e-06,
79
+ "loss": 0.6754,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.07,
84
+ "learning_rate": 2.5800000000000003e-06,
85
+ "loss": 0.6447,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.07,
90
+ "learning_rate": 2.7800000000000005e-06,
91
+ "loss": 0.6391,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.08,
96
+ "learning_rate": 2.9800000000000003e-06,
97
+ "loss": 0.6118,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.08,
102
+ "learning_rate": 3.1800000000000005e-06,
103
+ "loss": 0.6071,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.09,
108
+ "learning_rate": 3.3800000000000007e-06,
109
+ "loss": 0.6027,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.09,
114
+ "learning_rate": 3.58e-06,
115
+ "loss": 0.5978,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.1,
120
+ "learning_rate": 3.7800000000000002e-06,
121
+ "loss": 0.5974,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.1,
126
+ "learning_rate": 3.980000000000001e-06,
127
+ "loss": 0.5929,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.11,
132
+ "learning_rate": 4.18e-06,
133
+ "loss": 0.5853,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.11,
138
+ "learning_rate": 4.38e-06,
139
+ "loss": 0.582,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.12,
144
+ "learning_rate": 4.58e-06,
145
+ "loss": 0.5443,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.12,
150
+ "learning_rate": 4.78e-06,
151
+ "loss": 0.5475,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.13,
156
+ "learning_rate": 4.980000000000001e-06,
157
+ "loss": 0.5348,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.13,
162
+ "eval_webgpt_accuracy": 0.5572012257405515,
163
+ "eval_webgpt_loss": 0.6882389783859253,
164
+ "eval_webgpt_runtime": 166.4816,
165
+ "eval_webgpt_samples_per_second": 23.522,
166
+ "eval_webgpt_steps_per_second": 4.709,
167
+ "step": 250
168
+ },
169
+ {
170
+ "epoch": 0.13,
171
+ "eval_hfsummary_accuracy": 0.6711301877096999,
172
+ "eval_hfsummary_loss": 0.6183204054832458,
173
+ "eval_hfsummary_runtime": 3223.0913,
174
+ "eval_hfsummary_samples_per_second": 10.264,
175
+ "eval_hfsummary_steps_per_second": 2.053,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 0.13,
180
+ "eval_gptsynthetic_accuracy": 0.9993966817496229,
181
+ "eval_gptsynthetic_loss": 0.009097465313971043,
182
+ "eval_gptsynthetic_runtime": 101.5011,
183
+ "eval_gptsynthetic_samples_per_second": 32.66,
184
+ "eval_gptsynthetic_steps_per_second": 6.532,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.14,
189
+ "learning_rate": 5.18e-06,
190
+ "loss": 0.537,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.14,
195
+ "learning_rate": 5.380000000000001e-06,
196
+ "loss": 0.5286,
197
+ "step": 270
198
+ },
199
+ {
200
+ "epoch": 0.15,
201
+ "learning_rate": 5.580000000000001e-06,
202
+ "loss": 0.4957,
203
+ "step": 280
204
+ },
205
+ {
206
+ "epoch": 0.15,
207
+ "learning_rate": 5.78e-06,
208
+ "loss": 0.5117,
209
+ "step": 290
210
+ },
211
+ {
212
+ "epoch": 0.16,
213
+ "learning_rate": 5.98e-06,
214
+ "loss": 0.4977,
215
+ "step": 300
216
+ },
217
+ {
218
+ "epoch": 0.16,
219
+ "learning_rate": 6.18e-06,
220
+ "loss": 0.4801,
221
+ "step": 310
222
+ },
223
+ {
224
+ "epoch": 0.17,
225
+ "learning_rate": 6.380000000000001e-06,
226
+ "loss": 0.499,
227
+ "step": 320
228
+ },
229
+ {
230
+ "epoch": 0.17,
231
+ "learning_rate": 6.5800000000000005e-06,
232
+ "loss": 0.4702,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 0.18,
237
+ "learning_rate": 6.780000000000001e-06,
238
+ "loss": 0.4715,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 0.18,
243
+ "learning_rate": 6.98e-06,
244
+ "loss": 0.4686,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 0.19,
249
+ "learning_rate": 7.180000000000001e-06,
250
+ "loss": 0.488,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 0.19,
255
+ "learning_rate": 7.3800000000000005e-06,
256
+ "loss": 0.4671,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 0.2,
261
+ "learning_rate": 7.58e-06,
262
+ "loss": 0.4889,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 0.2,
267
+ "learning_rate": 7.78e-06,
268
+ "loss": 0.4718,
269
+ "step": 390
270
+ },
271
+ {
272
+ "epoch": 0.21,
273
+ "learning_rate": 7.980000000000002e-06,
274
+ "loss": 0.4706,
275
+ "step": 400
276
+ },
277
+ {
278
+ "epoch": 0.21,
279
+ "learning_rate": 8.18e-06,
280
+ "loss": 0.4839,
281
+ "step": 410
282
+ },
283
+ {
284
+ "epoch": 0.22,
285
+ "learning_rate": 8.380000000000001e-06,
286
+ "loss": 0.4576,
287
+ "step": 420
288
+ },
289
+ {
290
+ "epoch": 0.22,
291
+ "learning_rate": 8.580000000000001e-06,
292
+ "loss": 0.4865,
293
+ "step": 430
294
+ },
295
+ {
296
+ "epoch": 0.23,
297
+ "learning_rate": 8.78e-06,
298
+ "loss": 0.468,
299
+ "step": 440
300
+ },
301
+ {
302
+ "epoch": 0.23,
303
+ "learning_rate": 8.98e-06,
304
+ "loss": 0.4335,
305
+ "step": 450
306
+ },
307
+ {
308
+ "epoch": 0.24,
309
+ "learning_rate": 9.180000000000002e-06,
310
+ "loss": 0.4516,
311
+ "step": 460
312
+ },
313
+ {
314
+ "epoch": 0.24,
315
+ "learning_rate": 9.38e-06,
316
+ "loss": 0.4603,
317
+ "step": 470
318
+ },
319
+ {
320
+ "epoch": 0.25,
321
+ "learning_rate": 9.58e-06,
322
+ "loss": 0.467,
323
+ "step": 480
324
+ },
325
+ {
326
+ "epoch": 0.26,
327
+ "learning_rate": 9.780000000000001e-06,
328
+ "loss": 0.4678,
329
+ "step": 490
330
+ },
331
+ {
332
+ "epoch": 0.26,
333
+ "learning_rate": 9.980000000000001e-06,
334
+ "loss": 0.4456,
335
+ "step": 500
336
+ },
337
+ {
338
+ "epoch": 0.26,
339
+ "eval_webgpt_accuracy": 0.5893769152196119,
340
+ "eval_webgpt_loss": 0.6772251725196838,
341
+ "eval_webgpt_runtime": 166.9484,
342
+ "eval_webgpt_samples_per_second": 23.456,
343
+ "eval_webgpt_steps_per_second": 4.696,
344
+ "step": 500
345
+ },
346
+ {
347
+ "epoch": 0.26,
348
+ "eval_hfsummary_accuracy": 0.7065864643472478,
349
+ "eval_hfsummary_loss": 0.5687452554702759,
350
+ "eval_hfsummary_runtime": 3231.8075,
351
+ "eval_hfsummary_samples_per_second": 10.237,
352
+ "eval_hfsummary_steps_per_second": 2.047,
353
+ "step": 500
354
+ },
355
+ {
356
+ "epoch": 0.26,
357
+ "eval_gptsynthetic_accuracy": 0.9993966817496229,
358
+ "eval_gptsynthetic_loss": 0.005173402838408947,
359
+ "eval_gptsynthetic_runtime": 101.6573,
360
+ "eval_gptsynthetic_samples_per_second": 32.61,
361
+ "eval_gptsynthetic_steps_per_second": 6.522,
362
+ "step": 500
363
+ },
364
+ {
365
+ "epoch": 0.27,
366
+ "learning_rate": 9.999821166271659e-06,
367
+ "loss": 0.4375,
368
+ "step": 510
369
+ },
370
+ {
371
+ "epoch": 0.27,
372
+ "learning_rate": 9.999202992029537e-06,
373
+ "loss": 0.4608,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.28,
378
+ "learning_rate": 9.998143324029546e-06,
379
+ "loss": 0.4674,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.28,
384
+ "learning_rate": 9.996642255853966e-06,
385
+ "loss": 0.4468,
386
+ "step": 540
387
+ },
388
+ {
389
+ "epoch": 0.29,
390
+ "learning_rate": 9.99469992006637e-06,
391
+ "loss": 0.4466,
392
+ "step": 550
393
+ },
394
+ {
395
+ "epoch": 0.29,
396
+ "learning_rate": 9.992316488199927e-06,
397
+ "loss": 0.4608,
398
+ "step": 560
399
+ },
400
+ {
401
+ "epoch": 0.3,
402
+ "learning_rate": 9.989492170742248e-06,
403
+ "loss": 0.436,
404
+ "step": 570
405
+ },
406
+ {
407
+ "epoch": 0.3,
408
+ "learning_rate": 9.986227217116798e-06,
409
+ "loss": 0.4249,
410
+ "step": 580
411
+ },
412
+ {
413
+ "epoch": 0.31,
414
+ "learning_rate": 9.982521915660865e-06,
415
+ "loss": 0.4702,
416
+ "step": 590
417
+ },
418
+ {
419
+ "epoch": 0.31,
420
+ "learning_rate": 9.978376593600107e-06,
421
+ "loss": 0.4336,
422
+ "step": 600
423
+ },
424
+ {
425
+ "epoch": 0.32,
426
+ "learning_rate": 9.973791617019634e-06,
427
+ "loss": 0.4617,
428
+ "step": 610
429
+ },
430
+ {
431
+ "epoch": 0.32,
432
+ "learning_rate": 9.968767390831707e-06,
433
+ "loss": 0.4547,
434
+ "step": 620
435
+ },
436
+ {
437
+ "epoch": 0.33,
438
+ "learning_rate": 9.963304358739943e-06,
439
+ "loss": 0.4285,
440
+ "step": 630
441
+ },
442
+ {
443
+ "epoch": 0.33,
444
+ "learning_rate": 9.957403003200167e-06,
445
+ "loss": 0.4626,
446
+ "step": 640
447
+ },
448
+ {
449
+ "epoch": 0.34,
450
+ "learning_rate": 9.951063845377778e-06,
451
+ "loss": 0.4153,
452
+ "step": 650
453
+ },
454
+ {
455
+ "epoch": 0.34,
456
+ "learning_rate": 9.944287445101733e-06,
457
+ "loss": 0.4196,
458
+ "step": 660
459
+ },
460
+ {
461
+ "epoch": 0.35,
462
+ "learning_rate": 9.937074400815114e-06,
463
+ "loss": 0.4461,
464
+ "step": 670
465
+ },
466
+ {
467
+ "epoch": 0.35,
468
+ "learning_rate": 9.929425349522264e-06,
469
+ "loss": 0.4108,
470
+ "step": 680
471
+ },
472
+ {
473
+ "epoch": 0.36,
474
+ "learning_rate": 9.921340966732539e-06,
475
+ "loss": 0.4466,
476
+ "step": 690
477
+ },
478
+ {
479
+ "epoch": 0.36,
480
+ "learning_rate": 9.912821966400652e-06,
481
+ "loss": 0.4608,
482
+ "step": 700
483
+ },
484
+ {
485
+ "epoch": 0.37,
486
+ "learning_rate": 9.903869100863622e-06,
487
+ "loss": 0.4382,
488
+ "step": 710
489
+ },
490
+ {
491
+ "epoch": 0.37,
492
+ "learning_rate": 9.894483160774331e-06,
493
+ "loss": 0.4172,
494
+ "step": 720
495
+ },
496
+ {
497
+ "epoch": 0.38,
498
+ "learning_rate": 9.884664975031698e-06,
499
+ "loss": 0.4021,
500
+ "step": 730
501
+ },
502
+ {
503
+ "epoch": 0.39,
504
+ "learning_rate": 9.874415410707476e-06,
505
+ "loss": 0.4108,
506
+ "step": 740
507
+ },
508
+ {
509
+ "epoch": 0.39,
510
+ "learning_rate": 9.863735372969692e-06,
511
+ "loss": 0.4402,
512
+ "step": 750
513
+ },
514
+ {
515
+ "epoch": 0.39,
516
+ "eval_webgpt_accuracy": 0.5947395301327886,
517
+ "eval_webgpt_loss": 0.6755640506744385,
518
+ "eval_webgpt_runtime": 167.2694,
519
+ "eval_webgpt_samples_per_second": 23.411,
520
+ "eval_webgpt_steps_per_second": 4.687,
521
+ "step": 750
522
+ },
523
+ {
524
+ "epoch": 0.39,
525
+ "eval_hfsummary_accuracy": 0.7158661548227186,
526
+ "eval_hfsummary_loss": 0.5612313151359558,
527
+ "eval_hfsummary_runtime": 3314.4907,
528
+ "eval_hfsummary_samples_per_second": 9.981,
529
+ "eval_hfsummary_steps_per_second": 1.996,
530
+ "step": 750
531
+ },
532
+ {
533
+ "epoch": 0.39,
534
+ "eval_gptsynthetic_accuracy": 0.9996983408748115,
535
+ "eval_gptsynthetic_loss": 0.005162315908819437,
536
+ "eval_gptsynthetic_runtime": 105.2324,
537
+ "eval_gptsynthetic_samples_per_second": 31.502,
538
+ "eval_gptsynthetic_steps_per_second": 6.3,
539
+ "step": 750
540
+ },
541
+ {
542
+ "epoch": 0.4,
543
+ "learning_rate": 9.852625805002682e-06,
544
+ "loss": 0.4411,
545
+ "step": 760
546
+ },
547
+ {
548
+ "epoch": 0.4,
549
+ "learning_rate": 9.841087687923826e-06,
550
+ "loss": 0.4239,
551
+ "step": 770
552
+ },
553
+ {
554
+ "epoch": 0.41,
555
+ "learning_rate": 9.82912204069688e-06,
556
+ "loss": 0.4489,
557
+ "step": 780
558
+ },
559
+ {
560
+ "epoch": 0.41,
561
+ "learning_rate": 9.816729920041996e-06,
562
+ "loss": 0.4337,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.42,
567
+ "learning_rate": 9.803912420342406e-06,
568
+ "loss": 0.4346,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.42,
573
+ "learning_rate": 9.790670673547766e-06,
574
+ "loss": 0.3994,
575
+ "step": 810
576
+ },
577
+ {
578
+ "epoch": 0.43,
579
+ "learning_rate": 9.777005849074195e-06,
580
+ "loss": 0.4151,
581
+ "step": 820
582
+ },
583
+ {
584
+ "epoch": 0.43,
585
+ "learning_rate": 9.762919153700996e-06,
586
+ "loss": 0.4519,
587
+ "step": 830
588
+ },
589
+ {
590
+ "epoch": 0.44,
591
+ "learning_rate": 9.748411831464083e-06,
592
+ "loss": 0.4409,
593
+ "step": 840
594
+ },
595
+ {
596
+ "epoch": 0.44,
597
+ "learning_rate": 9.733485163546124e-06,
598
+ "loss": 0.4069,
599
+ "step": 850
600
+ },
601
+ {
602
+ "epoch": 0.45,
603
+ "learning_rate": 9.718140468163386e-06,
604
+ "loss": 0.3974,
605
+ "step": 860
606
+ },
607
+ {
608
+ "epoch": 0.45,
609
+ "learning_rate": 9.702379100449325e-06,
610
+ "loss": 0.4192,
611
+ "step": 870
612
+ },
613
+ {
614
+ "epoch": 0.46,
615
+ "learning_rate": 9.686202452334909e-06,
616
+ "loss": 0.4106,
617
+ "step": 880
618
+ },
619
+ {
620
+ "epoch": 0.46,
621
+ "learning_rate": 9.669611952425694e-06,
622
+ "loss": 0.4224,
623
+ "step": 890
624
+ },
625
+ {
626
+ "epoch": 0.47,
627
+ "learning_rate": 9.652609065875656e-06,
628
+ "loss": 0.4176,
629
+ "step": 900
630
+ },
631
+ {
632
+ "epoch": 0.47,
633
+ "learning_rate": 9.635195294257806e-06,
634
+ "loss": 0.3897,
635
+ "step": 910
636
+ },
637
+ {
638
+ "epoch": 0.48,
639
+ "learning_rate": 9.617372175431574e-06,
640
+ "loss": 0.4201,
641
+ "step": 920
642
+ },
643
+ {
644
+ "epoch": 0.48,
645
+ "learning_rate": 9.599141283407004e-06,
646
+ "loss": 0.3955,
647
+ "step": 930
648
+ },
649
+ {
650
+ "epoch": 0.49,
651
+ "learning_rate": 9.580504228205736e-06,
652
+ "loss": 0.3754,
653
+ "step": 940
654
+ },
655
+ {
656
+ "epoch": 0.49,
657
+ "learning_rate": 9.56146265571884e-06,
658
+ "loss": 0.407,
659
+ "step": 950
660
+ },
661
+ {
662
+ "epoch": 0.5,
663
+ "learning_rate": 9.542018247561442e-06,
664
+ "loss": 0.4225,
665
+ "step": 960
666
+ },
667
+ {
668
+ "epoch": 0.5,
669
+ "learning_rate": 9.522172720924236e-06,
670
+ "loss": 0.415,
671
+ "step": 970
672
+ },
673
+ {
674
+ "epoch": 0.51,
675
+ "learning_rate": 9.501927828421816e-06,
676
+ "loss": 0.4014,
677
+ "step": 980
678
+ },
679
+ {
680
+ "epoch": 0.52,
681
+ "learning_rate": 9.481285357937905e-06,
682
+ "loss": 0.4074,
683
+ "step": 990
684
+ },
685
+ {
686
+ "epoch": 0.52,
687
+ "learning_rate": 9.460247132467466e-06,
688
+ "loss": 0.3874,
689
+ "step": 1000
690
+ },
691
+ {
692
+ "epoch": 0.52,
693
+ "eval_webgpt_accuracy": 0.6021450459652706,
694
+ "eval_webgpt_loss": 0.6651596426963806,
695
+ "eval_webgpt_runtime": 167.2303,
696
+ "eval_webgpt_samples_per_second": 23.417,
697
+ "eval_webgpt_steps_per_second": 4.688,
698
+ "step": 1000
699
+ },
700
+ {
701
+ "epoch": 0.52,
702
+ "eval_hfsummary_accuracy": 0.714052534534353,
703
+ "eval_hfsummary_loss": 0.5728897452354431,
704
+ "eval_hfsummary_runtime": 3240.5714,
705
+ "eval_hfsummary_samples_per_second": 10.209,
706
+ "eval_hfsummary_steps_per_second": 2.042,
707
+ "step": 1000
708
+ },
709
+ {
710
+ "epoch": 0.52,
711
+ "eval_gptsynthetic_accuracy": 0.9990950226244344,
712
+ "eval_gptsynthetic_loss": 0.0032840222120285034,
713
+ "eval_gptsynthetic_runtime": 101.8215,
714
+ "eval_gptsynthetic_samples_per_second": 32.557,
715
+ "eval_gptsynthetic_steps_per_second": 6.511,
716
+ "step": 1000
717
+ },
718
+ {
719
+ "epoch": 0.53,
720
+ "learning_rate": 9.438815009955701e-06,
721
+ "loss": 0.386,
722
+ "step": 1010
723
+ },
724
+ {
725
+ "epoch": 0.53,
726
+ "learning_rate": 9.41699088313398e-06,
727
+ "loss": 0.401,
728
+ "step": 1020
729
+ },
730
+ {
731
+ "epoch": 0.54,
732
+ "learning_rate": 9.394776679352675e-06,
733
+ "loss": 0.4199,
734
+ "step": 1030
735
+ },
736
+ {
737
+ "epoch": 0.54,
738
+ "learning_rate": 9.372174360410963e-06,
739
+ "loss": 0.4093,
740
+ "step": 1040
741
+ },
742
+ {
743
+ "epoch": 0.55,
744
+ "learning_rate": 9.349185922383564e-06,
745
+ "loss": 0.4313,
746
+ "step": 1050
747
+ },
748
+ {
749
+ "epoch": 0.55,
750
+ "learning_rate": 9.325813395444472e-06,
751
+ "loss": 0.4164,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.56,
756
+ "learning_rate": 9.302058843687655e-06,
757
+ "loss": 0.3871,
758
+ "step": 1070
759
+ },
760
+ {
761
+ "epoch": 0.56,
762
+ "learning_rate": 9.277924364944774e-06,
763
+ "loss": 0.4115,
764
+ "step": 1080
765
+ },
766
+ {
767
+ "epoch": 0.57,
768
+ "learning_rate": 9.253412090599923e-06,
769
+ "loss": 0.4094,
770
+ "step": 1090
771
+ },
772
+ {
773
+ "epoch": 0.57,
774
+ "learning_rate": 9.228524185401384e-06,
775
+ "loss": 0.3957,
776
+ "step": 1100
777
+ },
778
+ {
779
+ "epoch": 0.58,
780
+ "learning_rate": 9.203262847270469e-06,
781
+ "loss": 0.3952,
782
+ "step": 1110
783
+ },
784
+ {
785
+ "epoch": 0.58,
786
+ "learning_rate": 9.177630307107408e-06,
787
+ "loss": 0.4011,
788
+ "step": 1120
789
+ },
790
+ {
791
+ "epoch": 0.59,
792
+ "learning_rate": 9.15162882859433e-06,
793
+ "loss": 0.4042,
794
+ "step": 1130
795
+ },
796
+ {
797
+ "epoch": 0.59,
798
+ "learning_rate": 9.125260707995356e-06,
799
+ "loss": 0.404,
800
+ "step": 1140
801
+ },
802
+ {
803
+ "epoch": 0.6,
804
+ "learning_rate": 9.098528273953807e-06,
805
+ "loss": 0.3904,
806
+ "step": 1150
807
+ },
808
+ {
809
+ "epoch": 0.6,
810
+ "learning_rate": 9.071433887286551e-06,
811
+ "loss": 0.4011,
812
+ "step": 1160
813
+ },
814
+ {
815
+ "epoch": 0.61,
816
+ "learning_rate": 9.04397994077552e-06,
817
+ "loss": 0.3806,
818
+ "step": 1170
819
+ },
820
+ {
821
+ "epoch": 0.61,
822
+ "learning_rate": 9.01616885895639e-06,
823
+ "loss": 0.3878,
824
+ "step": 1180
825
+ },
826
+ {
827
+ "epoch": 0.62,
828
+ "learning_rate": 8.988003097904472e-06,
829
+ "loss": 0.384,
830
+ "step": 1190
831
+ },
832
+ {
833
+ "epoch": 0.62,
834
+ "learning_rate": 8.959485145017794e-06,
835
+ "loss": 0.4023,
836
+ "step": 1200
837
+ },
838
+ {
839
+ "epoch": 0.63,
840
+ "learning_rate": 8.930617518797448e-06,
841
+ "loss": 0.3609,
842
+ "step": 1210
843
+ },
844
+ {
845
+ "epoch": 0.63,
846
+ "learning_rate": 8.901402768625169e-06,
847
+ "loss": 0.3879,
848
+ "step": 1220
849
+ },
850
+ {
851
+ "epoch": 0.64,
852
+ "learning_rate": 8.871843474538182e-06,
853
+ "loss": 0.4003,
854
+ "step": 1230
855
+ },
856
+ {
857
+ "epoch": 0.65,
858
+ "learning_rate": 8.841942247001368e-06,
859
+ "loss": 0.3974,
860
+ "step": 1240
861
+ },
862
+ {
863
+ "epoch": 0.65,
864
+ "learning_rate": 8.811701726676711e-06,
865
+ "loss": 0.4067,
866
+ "step": 1250
867
+ },
868
+ {
869
+ "epoch": 0.65,
870
+ "eval_webgpt_accuracy": 0.5967824310520939,
871
+ "eval_webgpt_loss": 0.6645339727401733,
872
+ "eval_webgpt_runtime": 167.52,
873
+ "eval_webgpt_samples_per_second": 23.376,
874
+ "eval_webgpt_steps_per_second": 4.68,
875
+ "step": 1250
876
+ },
877
+ {
878
+ "epoch": 0.65,
879
+ "eval_hfsummary_accuracy": 0.7167125109572893,
880
+ "eval_hfsummary_loss": 0.559929370880127,
881
+ "eval_hfsummary_runtime": 3290.2163,
882
+ "eval_hfsummary_samples_per_second": 10.055,
883
+ "eval_hfsummary_steps_per_second": 2.011,
884
+ "step": 1250
885
+ },
886
+ {
887
+ "epoch": 0.65,
888
+ "eval_gptsynthetic_accuracy": 0.9993966817496229,
889
+ "eval_gptsynthetic_loss": 0.002522215712815523,
890
+ "eval_gptsynthetic_runtime": 116.8538,
891
+ "eval_gptsynthetic_samples_per_second": 28.369,
892
+ "eval_gptsynthetic_steps_per_second": 5.674,
893
+ "step": 1250
894
+ },
895
+ {
896
+ "epoch": 0.66,
897
+ "learning_rate": 8.78112458419011e-06,
898
+ "loss": 0.3581,
899
+ "step": 1260
900
+ },
901
+ {
902
+ "epoch": 0.66,
903
+ "learning_rate": 8.750213519895511e-06,
904
+ "loss": 0.3628,
905
+ "step": 1270
906
+ },
907
+ {
908
+ "epoch": 0.67,
909
+ "learning_rate": 8.718971263636441e-06,
910
+ "loss": 0.3799,
911
+ "step": 1280
912
+ },
913
+ {
914
+ "epoch": 0.67,
915
+ "learning_rate": 8.687400574504929e-06,
916
+ "loss": 0.4083,
917
+ "step": 1290
918
+ },
919
+ {
920
+ "epoch": 0.68,
921
+ "learning_rate": 8.655504240597841e-06,
922
+ "loss": 0.3771,
923
+ "step": 1300
924
+ },
925
+ {
926
+ "epoch": 0.68,
927
+ "learning_rate": 8.623285078770649e-06,
928
+ "loss": 0.4016,
929
+ "step": 1310
930
+ },
931
+ {
932
+ "epoch": 0.69,
933
+ "learning_rate": 8.590745934388675e-06,
934
+ "loss": 0.3878,
935
+ "step": 1320
936
+ },
937
+ {
938
+ "epoch": 0.69,
939
+ "learning_rate": 8.557889681075808e-06,
940
+ "loss": 0.3568,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.7,
945
+ "learning_rate": 8.524719220460718e-06,
946
+ "loss": 0.3914,
947
+ "step": 1340
948
+ },
949
+ {
950
+ "epoch": 0.7,
951
+ "learning_rate": 8.491237481920616e-06,
952
+ "loss": 0.4001,
953
+ "step": 1350
954
+ },
955
+ {
956
+ "epoch": 0.71,
957
+ "learning_rate": 8.457447422322545e-06,
958
+ "loss": 0.3683,
959
+ "step": 1360
960
+ },
961
+ {
962
+ "epoch": 0.71,
963
+ "learning_rate": 8.42335202576225e-06,
964
+ "loss": 0.3741,
965
+ "step": 1370
966
+ },
967
+ {
968
+ "epoch": 0.72,
969
+ "learning_rate": 8.388954303300651e-06,
970
+ "loss": 0.3636,
971
+ "step": 1380
972
+ },
973
+ {
974
+ "epoch": 0.72,
975
+ "learning_rate": 8.354257292697927e-06,
976
+ "loss": 0.3815,
977
+ "step": 1390
978
+ },
979
+ {
980
+ "epoch": 0.73,
981
+ "learning_rate": 8.319264058145227e-06,
982
+ "loss": 0.3596,
983
+ "step": 1400
984
+ },
985
+ {
986
+ "epoch": 0.73,
987
+ "learning_rate": 8.283977689994085e-06,
988
+ "loss": 0.3826,
989
+ "step": 1410
990
+ },
991
+ {
992
+ "epoch": 0.74,
993
+ "learning_rate": 8.248401304483492e-06,
994
+ "loss": 0.41,
995
+ "step": 1420
996
+ },
997
+ {
998
+ "epoch": 0.74,
999
+ "learning_rate": 8.21253804346469e-06,
1000
+ "loss": 0.3648,
1001
+ "step": 1430
1002
+ },
1003
+ {
1004
+ "epoch": 0.75,
1005
+ "learning_rate": 8.176391074123705e-06,
1006
+ "loss": 0.3439,
1007
+ "step": 1440
1008
+ },
1009
+ {
1010
+ "epoch": 0.75,
1011
+ "learning_rate": 8.139963588701656e-06,
1012
+ "loss": 0.3635,
1013
+ "step": 1450
1014
+ },
1015
+ {
1016
+ "epoch": 0.76,
1017
+ "learning_rate": 8.103258804212824e-06,
1018
+ "loss": 0.3633,
1019
+ "step": 1460
1020
+ },
1021
+ {
1022
+ "epoch": 0.77,
1023
+ "learning_rate": 8.066279962160554e-06,
1024
+ "loss": 0.3989,
1025
+ "step": 1470
1026
+ },
1027
+ {
1028
+ "epoch": 0.77,
1029
+ "learning_rate": 8.029030328250997e-06,
1030
+ "loss": 0.3504,
1031
+ "step": 1480
1032
+ },
1033
+ {
1034
+ "epoch": 0.78,
1035
+ "learning_rate": 7.991513192104694e-06,
1036
+ "loss": 0.3665,
1037
+ "step": 1490
1038
+ },
1039
+ {
1040
+ "epoch": 0.78,
1041
+ "learning_rate": 7.953731866966063e-06,
1042
+ "loss": 0.3874,
1043
+ "step": 1500
1044
+ },
1045
+ {
1046
+ "epoch": 0.78,
1047
+ "eval_webgpt_accuracy": 0.6113381001021451,
1048
+ "eval_webgpt_loss": 0.6596858501434326,
1049
+ "eval_webgpt_runtime": 179.0732,
1050
+ "eval_webgpt_samples_per_second": 21.868,
1051
+ "eval_webgpt_steps_per_second": 4.378,
1052
+ "step": 1500
1053
+ },
1054
+ {
1055
+ "epoch": 0.78,
1056
+ "eval_hfsummary_accuracy": 0.7207327025964997,
1057
+ "eval_hfsummary_loss": 0.5737717747688293,
1058
+ "eval_hfsummary_runtime": 3606.3862,
1059
+ "eval_hfsummary_samples_per_second": 9.173,
1060
+ "eval_hfsummary_steps_per_second": 1.835,
1061
+ "step": 1500
1062
+ },
1063
+ {
1064
+ "epoch": 0.78,
1065
+ "eval_gptsynthetic_accuracy": 0.9993966817496229,
1066
+ "eval_gptsynthetic_loss": 0.002385695930570364,
1067
+ "eval_gptsynthetic_runtime": 109.239,
1068
+ "eval_gptsynthetic_samples_per_second": 30.346,
1069
+ "eval_gptsynthetic_steps_per_second": 6.069,
1070
+ "step": 1500
1071
+ },
1072
+ {
1073
+ "epoch": 0.79,
1074
+ "learning_rate": 7.915689689410806e-06,
1075
+ "loss": 0.3532,
1076
+ "step": 1510
1077
+ },
1078
+ {
1079
+ "epoch": 0.79,
1080
+ "learning_rate": 7.877390019051232e-06,
1081
+ "loss": 0.403,
1082
+ "step": 1520
1083
+ },
1084
+ {
1085
+ "epoch": 0.8,
1086
+ "learning_rate": 7.838836238239574e-06,
1087
+ "loss": 0.3735,
1088
+ "step": 1530
1089
+ },
1090
+ {
1091
+ "epoch": 0.8,
1092
+ "learning_rate": 7.800031751769274e-06,
1093
+ "loss": 0.3773,
1094
+ "step": 1540
1095
+ },
1096
+ {
1097
+ "epoch": 0.81,
1098
+ "learning_rate": 7.760979986574304e-06,
1099
+ "loss": 0.3644,
1100
+ "step": 1550
1101
+ },
1102
+ {
1103
+ "epoch": 0.81,
1104
+ "learning_rate": 7.721684391426516e-06,
1105
+ "loss": 0.3692,
1106
+ "step": 1560
1107
+ },
1108
+ {
1109
+ "epoch": 0.82,
1110
+ "learning_rate": 7.682148436631075e-06,
1111
+ "loss": 0.3804,
1112
+ "step": 1570
1113
+ },
1114
+ {
1115
+ "epoch": 0.82,
1116
+ "learning_rate": 7.642375613719988e-06,
1117
+ "loss": 0.397,
1118
+ "step": 1580
1119
+ },
1120
+ {
1121
+ "epoch": 0.83,
1122
+ "learning_rate": 7.602369435143755e-06,
1123
+ "loss": 0.3842,
1124
+ "step": 1590
1125
+ },
1126
+ {
1127
+ "epoch": 0.83,
1128
+ "learning_rate": 7.562133433961176e-06,
1129
+ "loss": 0.3571,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.84,
1134
+ "learning_rate": 7.5216711635273305e-06,
1135
+ "loss": 0.3784,
1136
+ "step": 1610
1137
+ },
1138
+ {
1139
+ "epoch": 0.84,
1140
+ "learning_rate": 7.480986197179785e-06,
1141
+ "loss": 0.3947,
1142
+ "step": 1620
1143
+ },
1144
+ {
1145
+ "epoch": 0.85,
1146
+ "learning_rate": 7.440082127923002e-06,
1147
+ "loss": 0.3583,
1148
+ "step": 1630
1149
+ },
1150
+ {
1151
+ "epoch": 0.85,
1152
+ "learning_rate": 7.39896256811105e-06,
1153
+ "loss": 0.3671,
1154
+ "step": 1640
1155
+ },
1156
+ {
1157
+ "epoch": 0.86,
1158
+ "learning_rate": 7.357631149128568e-06,
1159
+ "loss": 0.3691,
1160
+ "step": 1650
1161
+ },
1162
+ {
1163
+ "epoch": 0.86,
1164
+ "learning_rate": 7.31609152107009e-06,
1165
+ "loss": 0.4069,
1166
+ "step": 1660
1167
+ },
1168
+ {
1169
+ "epoch": 0.87,
1170
+ "learning_rate": 7.2743473524176734e-06,
1171
+ "loss": 0.3515,
1172
+ "step": 1670
1173
+ },
1174
+ {
1175
+ "epoch": 0.87,
1176
+ "learning_rate": 7.232402329716938e-06,
1177
+ "loss": 0.3783,
1178
+ "step": 1680
1179
+ },
1180
+ {
1181
+ "epoch": 0.88,
1182
+ "learning_rate": 7.19026015725149e-06,
1183
+ "loss": 0.362,
1184
+ "step": 1690
1185
+ },
1186
+ {
1187
+ "epoch": 0.88,
1188
+ "learning_rate": 7.147924556715793e-06,
1189
+ "loss": 0.3807,
1190
+ "step": 1700
1191
+ },
1192
+ {
1193
+ "epoch": 0.89,
1194
+ "learning_rate": 7.1053992668864855e-06,
1195
+ "loss": 0.3632,
1196
+ "step": 1710
1197
+ },
1198
+ {
1199
+ "epoch": 0.9,
1200
+ "learning_rate": 7.0626880432922095e-06,
1201
+ "loss": 0.3619,
1202
+ "step": 1720
1203
+ },
1204
+ {
1205
+ "epoch": 0.9,
1206
+ "learning_rate": 7.019794657881942e-06,
1207
+ "loss": 0.3883,
1208
+ "step": 1730
1209
+ },
1210
+ {
1211
+ "epoch": 0.91,
1212
+ "learning_rate": 6.976722898691881e-06,
1213
+ "loss": 0.351,
1214
+ "step": 1740
1215
+ },
1216
+ {
1217
+ "epoch": 0.91,
1218
+ "learning_rate": 6.933476569510924e-06,
1219
+ "loss": 0.3613,
1220
+ "step": 1750
1221
+ },
1222
+ {
1223
+ "epoch": 0.91,
1224
+ "eval_webgpt_accuracy": 0.609805924412666,
1225
+ "eval_webgpt_loss": 0.6571772694587708,
1226
+ "eval_webgpt_runtime": 167.3559,
1227
+ "eval_webgpt_samples_per_second": 23.399,
1228
+ "eval_webgpt_steps_per_second": 4.685,
1229
+ "step": 1750
1230
+ },
1231
+ {
1232
+ "epoch": 0.91,
1233
+ "eval_hfsummary_accuracy": 0.7195538494090621,
1234
+ "eval_hfsummary_loss": 0.5861465334892273,
1235
+ "eval_hfsummary_runtime": 3235.9038,
1236
+ "eval_hfsummary_samples_per_second": 10.224,
1237
+ "eval_hfsummary_steps_per_second": 2.045,
1238
+ "step": 1750
1239
+ },
1240
+ {
1241
+ "epoch": 0.91,
1242
+ "eval_gptsynthetic_accuracy": 0.9996983408748115,
1243
+ "eval_gptsynthetic_loss": 0.0027254121378064156,
1244
+ "eval_gptsynthetic_runtime": 101.6222,
1245
+ "eval_gptsynthetic_samples_per_second": 32.621,
1246
+ "eval_gptsynthetic_steps_per_second": 6.524,
1247
+ "step": 1750
1248
+ },
1249
+ {
1250
+ "epoch": 0.92,
1251
+ "learning_rate": 6.890059489544735e-06,
1252
+ "loss": 0.3651,
1253
+ "step": 1760
1254
+ },
1255
+ {
1256
+ "epoch": 0.92,
1257
+ "learning_rate": 6.846475493078462e-06,
1258
+ "loss": 0.3617,
1259
+ "step": 1770
1260
+ },
1261
+ {
1262
+ "epoch": 0.93,
1263
+ "learning_rate": 6.802728429138122e-06,
1264
+ "loss": 0.3174,
1265
+ "step": 1780
1266
+ },
1267
+ {
1268
+ "epoch": 0.93,
1269
+ "learning_rate": 6.758822161150687e-06,
1270
+ "loss": 0.3399,
1271
+ "step": 1790
1272
+ },
1273
+ {
1274
+ "epoch": 0.94,
1275
+ "learning_rate": 6.714760566602876e-06,
1276
+ "loss": 0.3664,
1277
+ "step": 1800
1278
+ },
1279
+ {
1280
+ "epoch": 0.94,
1281
+ "learning_rate": 6.67054753669875e-06,
1282
+ "loss": 0.3432,
1283
+ "step": 1810
1284
+ },
1285
+ {
1286
+ "epoch": 0.95,
1287
+ "learning_rate": 6.626186976016049e-06,
1288
+ "loss": 0.3673,
1289
+ "step": 1820
1290
+ },
1291
+ {
1292
+ "epoch": 0.95,
1293
+ "learning_rate": 6.581682802161371e-06,
1294
+ "loss": 0.3562,
1295
+ "step": 1830
1296
+ },
1297
+ {
1298
+ "epoch": 0.96,
1299
+ "learning_rate": 6.537038945424201e-06,
1300
+ "loss": 0.338,
1301
+ "step": 1840
1302
+ },
1303
+ {
1304
+ "epoch": 0.96,
1305
+ "learning_rate": 6.492259348429818e-06,
1306
+ "loss": 0.3387,
1307
+ "step": 1850
1308
+ },
1309
+ {
1310
+ "epoch": 0.97,
1311
+ "learning_rate": 6.4473479657910995e-06,
1312
+ "loss": 0.3504,
1313
+ "step": 1860
1314
+ },
1315
+ {
1316
+ "epoch": 0.97,
1317
+ "learning_rate": 6.402308763759296e-06,
1318
+ "loss": 0.3276,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.98,
1323
+ "learning_rate": 6.357145719873742e-06,
1324
+ "loss": 0.3243,
1325
+ "step": 1880
1326
+ },
1327
+ {
1328
+ "epoch": 0.98,
1329
+ "learning_rate": 6.3118628226105995e-06,
1330
+ "loss": 0.3548,
1331
+ "step": 1890
1332
+ },
1333
+ {
1334
+ "epoch": 0.99,
1335
+ "learning_rate": 6.266464071030621e-06,
1336
+ "loss": 0.3099,
1337
+ "step": 1900
1338
+ },
1339
+ {
1340
+ "epoch": 0.99,
1341
+ "learning_rate": 6.220953474425984e-06,
1342
+ "loss": 0.3387,
1343
+ "step": 1910
1344
+ },
1345
+ {
1346
+ "epoch": 1.0,
1347
+ "learning_rate": 6.175335051966211e-06,
1348
+ "loss": 0.3403,
1349
+ "step": 1920
1350
+ },
1351
+ {
1352
+ "epoch": 1.0,
1353
+ "learning_rate": 6.129612832343233e-06,
1354
+ "loss": 0.3385,
1355
+ "step": 1930
1356
+ },
1357
+ {
1358
+ "epoch": 1.01,
1359
+ "learning_rate": 6.0837908534156076e-06,
1360
+ "loss": 0.3305,
1361
+ "step": 1940
1362
+ },
1363
+ {
1364
+ "epoch": 1.02,
1365
+ "learning_rate": 6.037873161851911e-06,
1366
+ "loss": 0.3421,
1367
+ "step": 1950
1368
+ },
1369
+ {
1370
+ "epoch": 1.02,
1371
+ "learning_rate": 5.9918638127733764e-06,
1372
+ "loss": 0.3381,
1373
+ "step": 1960
1374
+ },
1375
+ {
1376
+ "epoch": 1.03,
1377
+ "learning_rate": 5.945766869395772e-06,
1378
+ "loss": 0.3062,
1379
+ "step": 1970
1380
+ },
1381
+ {
1382
+ "epoch": 1.03,
1383
+ "learning_rate": 5.899586402670566e-06,
1384
+ "loss": 0.3459,
1385
+ "step": 1980
1386
+ },
1387
+ {
1388
+ "epoch": 1.04,
1389
+ "learning_rate": 5.853326490925407e-06,
1390
+ "loss": 0.3175,
1391
+ "step": 1990
1392
+ },
1393
+ {
1394
+ "epoch": 1.04,
1395
+ "learning_rate": 5.806991219503963e-06,
1396
+ "loss": 0.3117,
1397
+ "step": 2000
1398
+ },
1399
+ {
1400
+ "epoch": 1.04,
1401
+ "eval_webgpt_accuracy": 0.6046986721144024,
1402
+ "eval_webgpt_loss": 0.6649239659309387,
1403
+ "eval_webgpt_runtime": 166.8662,
1404
+ "eval_webgpt_samples_per_second": 23.468,
1405
+ "eval_webgpt_steps_per_second": 4.698,
1406
+ "step": 2000
1407
+ },
1408
+ {
1409
+ "epoch": 1.04,
1410
+ "eval_hfsummary_accuracy": 0.7152616147265968,
1411
+ "eval_hfsummary_loss": 0.6051351428031921,
1412
+ "eval_hfsummary_runtime": 3227.7808,
1413
+ "eval_hfsummary_samples_per_second": 10.249,
1414
+ "eval_hfsummary_steps_per_second": 2.05,
1415
+ "step": 2000
1416
+ },
1417
+ {
1418
+ "epoch": 1.04,
1419
+ "eval_gptsynthetic_accuracy": 1.0,
1420
+ "eval_gptsynthetic_loss": 0.002014968078583479,
1421
+ "eval_gptsynthetic_runtime": 101.558,
1422
+ "eval_gptsynthetic_samples_per_second": 32.641,
1423
+ "eval_gptsynthetic_steps_per_second": 6.528,
1424
+ "step": 2000
1425
+ },
1426
+ {
1427
+ "epoch": 1.05,
1428
+ "learning_rate": 5.765228424606831e-06,
1429
+ "loss": 0.3206,
1430
+ "step": 2010
1431
+ },
1432
+ {
1433
+ "epoch": 1.05,
1434
+ "learning_rate": 5.718761248466732e-06,
1435
+ "loss": 0.3073,
1436
+ "step": 2020
1437
+ },
1438
+ {
1439
+ "epoch": 1.06,
1440
+ "learning_rate": 5.672230596487563e-06,
1441
+ "loss": 0.3113,
1442
+ "step": 2030
1443
+ },
1444
+ {
1445
+ "epoch": 1.06,
1446
+ "learning_rate": 5.625640577922828e-06,
1447
+ "loss": 0.3213,
1448
+ "step": 2040
1449
+ },
1450
+ {
1451
+ "epoch": 1.07,
1452
+ "learning_rate": 5.578995307268855e-06,
1453
+ "loss": 0.3353,
1454
+ "step": 2050
1455
+ },
1456
+ {
1457
+ "epoch": 1.07,
1458
+ "learning_rate": 5.532298903901448e-06,
1459
+ "loss": 0.3293,
1460
+ "step": 2060
1461
+ },
1462
+ {
1463
+ "epoch": 1.08,
1464
+ "learning_rate": 5.485555491712082e-06,
1465
+ "loss": 0.3158,
1466
+ "step": 2070
1467
+ },
1468
+ {
1469
+ "epoch": 1.08,
1470
+ "learning_rate": 5.438769198743713e-06,
1471
+ "loss": 0.2968,
1472
+ "step": 2080
1473
+ },
1474
+ {
1475
+ "epoch": 1.09,
1476
+ "learning_rate": 5.391944156826221e-06,
1477
+ "loss": 0.2877,
1478
+ "step": 2090
1479
+ },
1480
+ {
1481
+ "epoch": 1.09,
1482
+ "learning_rate": 5.345084501211517e-06,
1483
+ "loss": 0.3361,
1484
+ "step": 2100
1485
+ },
1486
+ {
1487
+ "epoch": 1.1,
1488
+ "learning_rate": 5.298194370208341e-06,
1489
+ "loss": 0.3051,
1490
+ "step": 2110
1491
+ },
1492
+ {
1493
+ "epoch": 1.1,
1494
+ "learning_rate": 5.251277904816809e-06,
1495
+ "loss": 0.3398,
1496
+ "step": 2120
1497
+ },
1498
+ {
1499
+ "epoch": 1.11,
1500
+ "learning_rate": 5.2043392483626906e-06,
1501
+ "loss": 0.3155,
1502
+ "step": 2130
1503
+ },
1504
+ {
1505
+ "epoch": 1.11,
1506
+ "learning_rate": 5.157382546131519e-06,
1507
+ "loss": 0.315,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 1.12,
1512
+ "learning_rate": 5.110411945002497e-06,
1513
+ "loss": 0.304,
1514
+ "step": 2150
1515
+ },
1516
+ {
1517
+ "epoch": 1.12,
1518
+ "learning_rate": 5.063431593082283e-06,
1519
+ "loss": 0.3458,
1520
+ "step": 2160
1521
+ },
1522
+ {
1523
+ "epoch": 1.13,
1524
+ "learning_rate": 5.016445639338647e-06,
1525
+ "loss": 0.3192,
1526
+ "step": 2170
1527
+ },
1528
+ {
1529
+ "epoch": 1.13,
1530
+ "learning_rate": 4.969458233234083e-06,
1531
+ "loss": 0.3188,
1532
+ "step": 2180
1533
+ },
1534
+ {
1535
+ "epoch": 1.14,
1536
+ "learning_rate": 4.922473524359335e-06,
1537
+ "loss": 0.308,
1538
+ "step": 2190
1539
+ },
1540
+ {
1541
+ "epoch": 1.15,
1542
+ "learning_rate": 4.875495662066958e-06,
1543
+ "loss": 0.3052,
1544
+ "step": 2200
1545
+ },
1546
+ {
1547
+ "epoch": 1.15,
1548
+ "learning_rate": 4.82852879510486e-06,
1549
+ "loss": 0.2962,
1550
+ "step": 2210
1551
+ },
1552
+ {
1553
+ "epoch": 1.16,
1554
+ "learning_rate": 4.781577071249918e-06,
1555
+ "loss": 0.3067,
1556
+ "step": 2220
1557
+ },
1558
+ {
1559
+ "epoch": 1.16,
1560
+ "learning_rate": 4.734644636941687e-06,
1561
+ "loss": 0.2886,
1562
+ "step": 2230
1563
+ },
1564
+ {
1565
+ "epoch": 1.17,
1566
+ "learning_rate": 4.6877356369161975e-06,
1567
+ "loss": 0.2832,
1568
+ "step": 2240
1569
+ },
1570
+ {
1571
+ "epoch": 1.17,
1572
+ "learning_rate": 4.64085421383994e-06,
1573
+ "loss": 0.3177,
1574
+ "step": 2250
1575
+ },
1576
+ {
1577
+ "epoch": 1.17,
1578
+ "eval_webgpt_accuracy": 0.6052093973442288,
1579
+ "eval_webgpt_loss": 0.67301344871521,
1580
+ "eval_webgpt_runtime": 167.0393,
1581
+ "eval_webgpt_samples_per_second": 23.444,
1582
+ "eval_webgpt_steps_per_second": 4.694,
1583
+ "step": 2250
1584
+ },
1585
+ {
1586
+ "epoch": 1.17,
1587
+ "eval_hfsummary_accuracy": 0.7188586282985219,
1588
+ "eval_hfsummary_loss": 0.665126621723175,
1589
+ "eval_hfsummary_runtime": 3228.0014,
1590
+ "eval_hfsummary_samples_per_second": 10.249,
1591
+ "eval_hfsummary_steps_per_second": 2.05,
1592
+ "step": 2250
1593
+ },
1594
+ {
1595
+ "epoch": 1.17,
1596
+ "eval_gptsynthetic_accuracy": 1.0,
1597
+ "eval_gptsynthetic_loss": 0.0015043159946799278,
1598
+ "eval_gptsynthetic_runtime": 101.5554,
1599
+ "eval_gptsynthetic_samples_per_second": 32.642,
1600
+ "eval_gptsynthetic_steps_per_second": 6.528,
1601
+ "step": 2250
1602
+ },
1603
+ {
1604
+ "epoch": 1.18,
1605
+ "learning_rate": 4.594004507944001e-06,
1606
+ "loss": 0.2988,
1607
+ "step": 2260
1608
+ },
1609
+ {
1610
+ "epoch": 1.18,
1611
+ "learning_rate": 4.547190656658441e-06,
1612
+ "loss": 0.3037,
1613
+ "step": 2270
1614
+ },
1615
+ {
1616
+ "epoch": 1.19,
1617
+ "learning_rate": 4.500416794246885e-06,
1618
+ "loss": 0.3024,
1619
+ "step": 2280
1620
+ },
1621
+ {
1622
+ "epoch": 1.19,
1623
+ "learning_rate": 4.453687051441443e-06,
1624
+ "loss": 0.3008,
1625
+ "step": 2290
1626
+ },
1627
+ {
1628
+ "epoch": 1.2,
1629
+ "learning_rate": 4.407005555077885e-06,
1630
+ "loss": 0.3059,
1631
+ "step": 2300
1632
+ },
1633
+ {
1634
+ "epoch": 1.2,
1635
+ "learning_rate": 4.36037642773121e-06,
1636
+ "loss": 0.3191,
1637
+ "step": 2310
1638
+ },
1639
+ {
1640
+ "epoch": 1.21,
1641
+ "learning_rate": 4.313803787351555e-06,
1642
+ "loss": 0.3228,
1643
+ "step": 2320
1644
+ },
1645
+ {
1646
+ "epoch": 1.21,
1647
+ "learning_rate": 4.267291746900538e-06,
1648
+ "loss": 0.3054,
1649
+ "step": 2330
1650
+ },
1651
+ {
1652
+ "epoch": 1.22,
1653
+ "learning_rate": 4.220844413988022e-06,
1654
+ "loss": 0.3161,
1655
+ "step": 2340
1656
+ },
1657
+ {
1658
+ "epoch": 1.22,
1659
+ "learning_rate": 4.174465890509365e-06,
1660
+ "loss": 0.296,
1661
+ "step": 2350
1662
+ },
1663
+ {
1664
+ "epoch": 1.23,
1665
+ "learning_rate": 4.128160272283172e-06,
1666
+ "loss": 0.2718,
1667
+ "step": 2360
1668
+ },
1669
+ {
1670
+ "epoch": 1.23,
1671
+ "learning_rate": 4.081931648689577e-06,
1672
+ "loss": 0.3204,
1673
+ "step": 2370
1674
+ },
1675
+ {
1676
+ "epoch": 1.24,
1677
+ "learning_rate": 4.035784102309097e-06,
1678
+ "loss": 0.3418,
1679
+ "step": 2380
1680
+ },
1681
+ {
1682
+ "epoch": 1.24,
1683
+ "learning_rate": 3.989721708562098e-06,
1684
+ "loss": 0.3246,
1685
+ "step": 2390
1686
+ },
1687
+ {
1688
+ "epoch": 1.25,
1689
+ "learning_rate": 3.943748535348872e-06,
1690
+ "loss": 0.2989,
1691
+ "step": 2400
1692
+ },
1693
+ {
1694
+ "epoch": 1.25,
1695
+ "learning_rate": 3.8978686426903885e-06,
1696
+ "loss": 0.3318,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 1.26,
1701
+ "learning_rate": 3.852086082369758e-06,
1702
+ "loss": 0.2856,
1703
+ "step": 2420
1704
+ },
1705
+ {
1706
+ "epoch": 1.26,
1707
+ "learning_rate": 3.806404897574388e-06,
1708
+ "loss": 0.2934,
1709
+ "step": 2430
1710
+ },
1711
+ {
1712
+ "epoch": 1.27,
1713
+ "learning_rate": 3.760829122538931e-06,
1714
+ "loss": 0.3017,
1715
+ "step": 2440
1716
+ },
1717
+ {
1718
+ "epoch": 1.28,
1719
+ "learning_rate": 3.7153627821890026e-06,
1720
+ "loss": 0.318,
1721
+ "step": 2450
1722
+ },
1723
+ {
1724
+ "epoch": 1.28,
1725
+ "learning_rate": 3.6700098917857387e-06,
1726
+ "loss": 0.2964,
1727
+ "step": 2460
1728
+ },
1729
+ {
1730
+ "epoch": 1.29,
1731
+ "learning_rate": 3.624774456571176e-06,
1732
+ "loss": 0.2909,
1733
+ "step": 2470
1734
+ },
1735
+ {
1736
+ "epoch": 1.29,
1737
+ "learning_rate": 3.579660471414565e-06,
1738
+ "loss": 0.3043,
1739
+ "step": 2480
1740
+ },
1741
+ {
1742
+ "epoch": 1.3,
1743
+ "learning_rate": 3.5346719204595497e-06,
1744
+ "loss": 0.305,
1745
+ "step": 2490
1746
+ },
1747
+ {
1748
+ "epoch": 1.3,
1749
+ "learning_rate": 3.48981277677233e-06,
1750
+ "loss": 0.2756,
1751
+ "step": 2500
1752
+ },
1753
+ {
1754
+ "epoch": 1.3,
1755
+ "eval_webgpt_accuracy": 0.6131256384065373,
1756
+ "eval_webgpt_loss": 0.6625245809555054,
1757
+ "eval_webgpt_runtime": 166.7899,
1758
+ "eval_webgpt_samples_per_second": 23.479,
1759
+ "eval_webgpt_steps_per_second": 4.701,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 1.3,
1764
+ "eval_hfsummary_accuracy": 0.7223347338512227,
1765
+ "eval_hfsummary_loss": 0.6251139044761658,
1766
+ "eval_hfsummary_runtime": 3221.6572,
1767
+ "eval_hfsummary_samples_per_second": 10.269,
1768
+ "eval_hfsummary_steps_per_second": 2.054,
1769
+ "step": 2500
1770
+ },
1771
+ {
1772
+ "epoch": 1.3,
1773
+ "eval_gptsynthetic_accuracy": 0.9993966817496229,
1774
+ "eval_gptsynthetic_loss": 0.00219121971167624,
1775
+ "eval_gptsynthetic_runtime": 101.3035,
1776
+ "eval_gptsynthetic_samples_per_second": 32.723,
1777
+ "eval_gptsynthetic_steps_per_second": 6.545,
1778
+ "step": 2500
1779
+ }
1780
+ ],
1781
+ "max_steps": 3842,
1782
+ "num_train_epochs": 2,
1783
+ "total_flos": 4.2100836618337517e+17,
1784
+ "trial_name": null,
1785
+ "trial_params": null
1786
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b3b682c3419f7b6258e04c56902b36cd4b54c4c8ff5d1f32213cbe7a011b6375
3
+ size 3439