Grogros commited on
Commit
a0cb10c
·
verified ·
1 Parent(s): de295b8

Training in progress, step 2500, checkpoint

Browse files
checkpoint-2500/config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "huihui-ai/Llama-3.2-1B-Instruct-abliterated",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 128000,
9
+ "eos_token_id": [
10
+ 128001,
11
+ 128008,
12
+ 128009
13
+ ],
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 8192,
19
+ "max_position_embeddings": 131072,
20
+ "mlp_bias": false,
21
+ "model_type": "llama",
22
+ "num_attention_heads": 32,
23
+ "num_hidden_layers": 16,
24
+ "num_key_value_heads": 8,
25
+ "pretraining_tp": 1,
26
+ "rms_norm_eps": 1e-05,
27
+ "rope_scaling": {
28
+ "factor": 32.0,
29
+ "high_freq_factor": 4.0,
30
+ "low_freq_factor": 1.0,
31
+ "original_max_position_embeddings": 8192,
32
+ "rope_type": "llama3"
33
+ },
34
+ "rope_theta": 500000.0,
35
+ "tie_word_embeddings": true,
36
+ "torch_dtype": "bfloat16",
37
+ "transformers_version": "4.46.3",
38
+ "use_cache": true,
39
+ "vocab_size": 128256
40
+ }
checkpoint-2500/generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 128000,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 128001,
6
+ 128008,
7
+ 128009
8
+ ],
9
+ "temperature": 0.6,
10
+ "top_p": 0.9,
11
+ "transformers_version": "4.46.3"
12
+ }
checkpoint-2500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc34cdaa1b8f8eb7a66536d913231cc90bbc2f4b2cd8ece9ebcfe4ff7a924fac
3
+ size 2471645608
checkpoint-2500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6ecc2d90ed7cb2545eaaf056d84986ada4d39faf240d1b4970e929746a9d95f
3
+ size 3724602
checkpoint-2500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9609ebe89373fbf890ce9cd19d1a679a32153da51e92ad96b3b56240eb9ba84d
3
+ size 14244
checkpoint-2500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3d944f5855dedd93de5810fb83351c896ba8bcf8ae6abf8ac51fb2013da8b6d
3
+ size 1064
checkpoint-2500/trainer_state.json ADDED
@@ -0,0 +1,1783 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0911074740861975,
5
+ "eval_steps": 500,
6
+ "global_step": 2500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00436442989634479,
13
+ "grad_norm": 74.5,
14
+ "learning_rate": 8.000000000000001e-07,
15
+ "loss": 1.044,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.00872885979268958,
20
+ "grad_norm": 166.0,
21
+ "learning_rate": 1.6000000000000001e-06,
22
+ "loss": 1.0152,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.01309328968903437,
27
+ "grad_norm": 249.0,
28
+ "learning_rate": 2.4000000000000003e-06,
29
+ "loss": 1.0905,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.01745771958537916,
34
+ "grad_norm": 210.0,
35
+ "learning_rate": 3.2000000000000003e-06,
36
+ "loss": 1.1291,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.02182214948172395,
41
+ "grad_norm": 151.0,
42
+ "learning_rate": 4.000000000000001e-06,
43
+ "loss": 1.384,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.02618657937806874,
48
+ "grad_norm": 516.0,
49
+ "learning_rate": 4.800000000000001e-06,
50
+ "loss": 1.5235,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.03055100927441353,
55
+ "grad_norm": 684.0,
56
+ "learning_rate": 5.600000000000001e-06,
57
+ "loss": 1.888,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.03491543917075832,
62
+ "grad_norm": 504.0,
63
+ "learning_rate": 6.4000000000000006e-06,
64
+ "loss": 1.9856,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.03927986906710311,
69
+ "grad_norm": 175.0,
70
+ "learning_rate": 7.2000000000000005e-06,
71
+ "loss": 1.628,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.0436442989634479,
76
+ "grad_norm": 964.0,
77
+ "learning_rate": 8.000000000000001e-06,
78
+ "loss": 1.8794,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.04800872885979269,
83
+ "grad_norm": 151.0,
84
+ "learning_rate": 8.8e-06,
85
+ "loss": 1.4958,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.05237315875613748,
90
+ "grad_norm": 45.25,
91
+ "learning_rate": 9.600000000000001e-06,
92
+ "loss": 1.741,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.05673758865248227,
97
+ "grad_norm": 50.5,
98
+ "learning_rate": 1.04e-05,
99
+ "loss": 1.5346,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.06110201854882706,
104
+ "grad_norm": 116.5,
105
+ "learning_rate": 1.1200000000000001e-05,
106
+ "loss": 1.498,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.06546644844517185,
111
+ "grad_norm": 35.0,
112
+ "learning_rate": 1.2e-05,
113
+ "loss": 1.3559,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.06983087834151663,
118
+ "grad_norm": 57.5,
119
+ "learning_rate": 1.2800000000000001e-05,
120
+ "loss": 1.3762,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.07419530823786143,
125
+ "grad_norm": 40.25,
126
+ "learning_rate": 1.3600000000000002e-05,
127
+ "loss": 1.5166,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.07855973813420622,
132
+ "grad_norm": 22.5,
133
+ "learning_rate": 1.4400000000000001e-05,
134
+ "loss": 1.3441,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.08292416803055101,
139
+ "grad_norm": 14.875,
140
+ "learning_rate": 1.5200000000000002e-05,
141
+ "loss": 1.6288,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.0872885979268958,
146
+ "grad_norm": 203.0,
147
+ "learning_rate": 1.6000000000000003e-05,
148
+ "loss": 3.1069,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.09165302782324058,
153
+ "grad_norm": 57.5,
154
+ "learning_rate": 1.6800000000000002e-05,
155
+ "loss": 1.5319,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.09601745771958538,
160
+ "grad_norm": 26.0,
161
+ "learning_rate": 1.76e-05,
162
+ "loss": 1.5801,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.10038188761593017,
167
+ "grad_norm": 24.125,
168
+ "learning_rate": 1.8400000000000003e-05,
169
+ "loss": 1.3185,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.10474631751227496,
174
+ "grad_norm": 29.875,
175
+ "learning_rate": 1.9200000000000003e-05,
176
+ "loss": 1.3118,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.10911074740861974,
181
+ "grad_norm": 18.625,
182
+ "learning_rate": 2e-05,
183
+ "loss": 1.1643,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.11347517730496454,
188
+ "grad_norm": 25.5,
189
+ "learning_rate": 1.9999025240093045e-05,
190
+ "loss": 1.3403,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.11783960720130933,
195
+ "grad_norm": 20.75,
196
+ "learning_rate": 1.9996101150403543e-05,
197
+ "loss": 1.2914,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.12220403709765412,
202
+ "grad_norm": 17.625,
203
+ "learning_rate": 1.9991228300988586e-05,
204
+ "loss": 1.2328,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.1265684669939989,
209
+ "grad_norm": 37.25,
210
+ "learning_rate": 1.9984407641819812e-05,
211
+ "loss": 1.2335,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.1309328968903437,
216
+ "grad_norm": 18.75,
217
+ "learning_rate": 1.9975640502598243e-05,
218
+ "loss": 1.1872,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.1352973267866885,
223
+ "grad_norm": 22.625,
224
+ "learning_rate": 1.9964928592495046e-05,
225
+ "loss": 1.1274,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.13966175668303327,
230
+ "grad_norm": 15.8125,
231
+ "learning_rate": 1.9952273999818312e-05,
232
+ "loss": 1.235,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.14402618657937807,
237
+ "grad_norm": 16.5,
238
+ "learning_rate": 1.9937679191605964e-05,
239
+ "loss": 1.1159,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.14839061647572285,
244
+ "grad_norm": 17.5,
245
+ "learning_rate": 1.9921147013144782e-05,
246
+ "loss": 1.0252,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.15275504637206766,
251
+ "grad_norm": 6.78125,
252
+ "learning_rate": 1.9902680687415704e-05,
253
+ "loss": 1.0231,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.15711947626841244,
258
+ "grad_norm": 20.375,
259
+ "learning_rate": 1.988228381446553e-05,
260
+ "loss": 1.086,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.16148390616475722,
265
+ "grad_norm": 29.375,
266
+ "learning_rate": 1.985996037070505e-05,
267
+ "loss": 1.0803,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.16584833606110203,
272
+ "grad_norm": 10.9375,
273
+ "learning_rate": 1.983571470813386e-05,
274
+ "loss": 0.987,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.1702127659574468,
279
+ "grad_norm": 12.625,
280
+ "learning_rate": 1.9809551553491918e-05,
281
+ "loss": 1.2151,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.1745771958537916,
286
+ "grad_norm": 14.125,
287
+ "learning_rate": 1.9781476007338058e-05,
288
+ "loss": 0.9436,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.1789416257501364,
293
+ "grad_norm": 56.0,
294
+ "learning_rate": 1.9751493543055634e-05,
295
+ "loss": 1.0427,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.18330605564648117,
300
+ "grad_norm": 17.5,
301
+ "learning_rate": 1.9719610005785466e-05,
302
+ "loss": 1.0463,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.18767048554282598,
307
+ "grad_norm": 14.4375,
308
+ "learning_rate": 1.9685831611286312e-05,
309
+ "loss": 1.0375,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.19203491543917076,
314
+ "grad_norm": 14.3125,
315
+ "learning_rate": 1.9650164944723116e-05,
316
+ "loss": 1.0024,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.19639934533551553,
321
+ "grad_norm": 10.75,
322
+ "learning_rate": 1.961261695938319e-05,
323
+ "loss": 1.0858,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.20076377523186034,
328
+ "grad_norm": 8.1875,
329
+ "learning_rate": 1.9573194975320672e-05,
330
+ "loss": 0.9583,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.20512820512820512,
335
+ "grad_norm": 16.75,
336
+ "learning_rate": 1.9531906677929472e-05,
337
+ "loss": 1.048,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.20949263502454993,
342
+ "grad_norm": 24.25,
343
+ "learning_rate": 1.9488760116444966e-05,
344
+ "loss": 0.9226,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.2138570649208947,
349
+ "grad_norm": 12.125,
350
+ "learning_rate": 1.944376370237481e-05,
351
+ "loss": 1.0239,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.2182214948172395,
356
+ "grad_norm": 15.9375,
357
+ "learning_rate": 1.9396926207859085e-05,
358
+ "loss": 0.9481,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.2225859247135843,
363
+ "grad_norm": 8.0,
364
+ "learning_rate": 1.9348256763960146e-05,
365
+ "loss": 0.9285,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.22695035460992907,
370
+ "grad_norm": 16.625,
371
+ "learning_rate": 1.9297764858882516e-05,
372
+ "loss": 0.9811,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.23131478450627388,
377
+ "grad_norm": 7.34375,
378
+ "learning_rate": 1.9245460336123136e-05,
379
+ "loss": 0.8843,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.23567921440261866,
384
+ "grad_norm": 12.5,
385
+ "learning_rate": 1.9191353392552346e-05,
386
+ "loss": 0.869,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.24004364429896344,
391
+ "grad_norm": 10.25,
392
+ "learning_rate": 1.913545457642601e-05,
393
+ "loss": 0.9146,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.24440807419530824,
398
+ "grad_norm": 20.75,
399
+ "learning_rate": 1.907777478532909e-05,
400
+ "loss": 0.904,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.24877250409165302,
405
+ "grad_norm": 13.9375,
406
+ "learning_rate": 1.901832526405114e-05,
407
+ "loss": 0.8561,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.2531369339879978,
412
+ "grad_norm": 9.25,
413
+ "learning_rate": 1.895711760239413e-05,
414
+ "loss": 0.9274,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.2575013638843426,
419
+ "grad_norm": 9.5625,
420
+ "learning_rate": 1.889416373291298e-05,
421
+ "loss": 0.9191,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.2618657937806874,
426
+ "grad_norm": 6.75,
427
+ "learning_rate": 1.8829475928589272e-05,
428
+ "loss": 0.9027,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.2662302236770322,
433
+ "grad_norm": 9.5,
434
+ "learning_rate": 1.8763066800438638e-05,
435
+ "loss": 0.9427,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.270594653573377,
440
+ "grad_norm": 13.125,
441
+ "learning_rate": 1.869494929505219e-05,
442
+ "loss": 0.8664,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.27495908346972175,
447
+ "grad_norm": 19.375,
448
+ "learning_rate": 1.8625136692072577e-05,
449
+ "loss": 0.9021,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.27932351336606653,
454
+ "grad_norm": 14.5,
455
+ "learning_rate": 1.855364260160507e-05,
456
+ "loss": 0.9041,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.28368794326241137,
461
+ "grad_norm": 8.75,
462
+ "learning_rate": 1.848048096156426e-05,
463
+ "loss": 0.8482,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.28805237315875615,
468
+ "grad_norm": 18.5,
469
+ "learning_rate": 1.8405666034956842e-05,
470
+ "loss": 0.9267,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.2924168030551009,
475
+ "grad_norm": 5.875,
476
+ "learning_rate": 1.8329212407100996e-05,
477
+ "loss": 0.8678,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.2967812329514457,
482
+ "grad_norm": 12.625,
483
+ "learning_rate": 1.8251134982782952e-05,
484
+ "loss": 0.8268,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.3011456628477905,
489
+ "grad_norm": 12.875,
490
+ "learning_rate": 1.8171448983351284e-05,
491
+ "loss": 0.8265,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.3055100927441353,
496
+ "grad_norm": 8.6875,
497
+ "learning_rate": 1.8090169943749477e-05,
498
+ "loss": 0.8773,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.3098745226404801,
503
+ "grad_norm": 16.75,
504
+ "learning_rate": 1.8007313709487334e-05,
505
+ "loss": 0.8472,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.3142389525368249,
510
+ "grad_norm": 7.53125,
511
+ "learning_rate": 1.792289643355191e-05,
512
+ "loss": 0.8534,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.31860338243316966,
517
+ "grad_norm": 15.125,
518
+ "learning_rate": 1.78369345732584e-05,
519
+ "loss": 0.8069,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.32296781232951444,
524
+ "grad_norm": 11.5,
525
+ "learning_rate": 1.7749444887041797e-05,
526
+ "loss": 0.8533,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.32733224222585927,
531
+ "grad_norm": 14.75,
532
+ "learning_rate": 1.766044443118978e-05,
533
+ "loss": 0.8662,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.33169667212220405,
538
+ "grad_norm": 15.75,
539
+ "learning_rate": 1.7569950556517566e-05,
540
+ "loss": 0.8397,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.33606110201854883,
545
+ "grad_norm": 19.875,
546
+ "learning_rate": 1.747798090498532e-05,
547
+ "loss": 0.7535,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.3404255319148936,
552
+ "grad_norm": 11.75,
553
+ "learning_rate": 1.7384553406258842e-05,
554
+ "loss": 0.8573,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.3447899618112384,
559
+ "grad_norm": 6.9375,
560
+ "learning_rate": 1.7289686274214116e-05,
561
+ "loss": 0.8559,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.3491543917075832,
566
+ "grad_norm": 10.9375,
567
+ "learning_rate": 1.7193398003386514e-05,
568
+ "loss": 0.8459,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.353518821603928,
573
+ "grad_norm": 12.0625,
574
+ "learning_rate": 1.709570736536521e-05,
575
+ "loss": 0.8352,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.3578832515002728,
580
+ "grad_norm": 4.59375,
581
+ "learning_rate": 1.6996633405133656e-05,
582
+ "loss": 0.8146,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.36224768139661756,
587
+ "grad_norm": 15.0,
588
+ "learning_rate": 1.68961954373567e-05,
589
+ "loss": 0.78,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.36661211129296234,
594
+ "grad_norm": 5.6875,
595
+ "learning_rate": 1.6794413042615168e-05,
596
+ "loss": 0.8002,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.3709765411893072,
601
+ "grad_norm": 18.5,
602
+ "learning_rate": 1.6691306063588583e-05,
603
+ "loss": 0.8296,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.37534097108565195,
608
+ "grad_norm": 42.0,
609
+ "learning_rate": 1.6586894601186804e-05,
610
+ "loss": 0.8742,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.37970540098199673,
615
+ "grad_norm": 9.5,
616
+ "learning_rate": 1.6481199010631312e-05,
617
+ "loss": 0.779,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.3840698308783415,
622
+ "grad_norm": 6.0625,
623
+ "learning_rate": 1.63742398974869e-05,
624
+ "loss": 0.747,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.3884342607746863,
629
+ "grad_norm": 9.375,
630
+ "learning_rate": 1.6266038113644605e-05,
631
+ "loss": 0.8371,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.39279869067103107,
636
+ "grad_norm": 7.9375,
637
+ "learning_rate": 1.6156614753256583e-05,
638
+ "loss": 0.7598,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.3971631205673759,
643
+ "grad_norm": 14.75,
644
+ "learning_rate": 1.6045991148623752e-05,
645
+ "loss": 0.7371,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 0.4015275504637207,
650
+ "grad_norm": 5.09375,
651
+ "learning_rate": 1.5934188866037017e-05,
652
+ "loss": 0.7388,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 0.40589198036006546,
657
+ "grad_norm": 7.96875,
658
+ "learning_rate": 1.5821229701572897e-05,
659
+ "loss": 0.7652,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 0.41025641025641024,
664
+ "grad_norm": 12.3125,
665
+ "learning_rate": 1.570713567684432e-05,
666
+ "loss": 0.82,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 0.414620840152755,
671
+ "grad_norm": 9.5,
672
+ "learning_rate": 1.5591929034707468e-05,
673
+ "loss": 0.7934,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 0.41898527004909986,
678
+ "grad_norm": 8.5625,
679
+ "learning_rate": 1.5475632234925505e-05,
680
+ "loss": 0.7752,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 0.42334969994544464,
685
+ "grad_norm": 8.375,
686
+ "learning_rate": 1.5358267949789968e-05,
687
+ "loss": 0.7438,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 0.4277141298417894,
692
+ "grad_norm": 7.6875,
693
+ "learning_rate": 1.5239859059700794e-05,
694
+ "loss": 0.7512,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 0.4320785597381342,
699
+ "grad_norm": 9.1875,
700
+ "learning_rate": 1.5120428648705716e-05,
701
+ "loss": 0.6996,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 0.436442989634479,
706
+ "grad_norm": 6.0625,
707
+ "learning_rate": 1.5000000000000002e-05,
708
+ "loss": 0.7038,
709
+ "step": 1000
710
+ },
711
+ {
712
+ "epoch": 0.4408074195308238,
713
+ "grad_norm": 8.9375,
714
+ "learning_rate": 1.4878596591387329e-05,
715
+ "loss": 0.7495,
716
+ "step": 1010
717
+ },
718
+ {
719
+ "epoch": 0.4451718494271686,
720
+ "grad_norm": 6.59375,
721
+ "learning_rate": 1.4756242090702756e-05,
722
+ "loss": 0.7794,
723
+ "step": 1020
724
+ },
725
+ {
726
+ "epoch": 0.44953627932351337,
727
+ "grad_norm": 10.0625,
728
+ "learning_rate": 1.463296035119862e-05,
729
+ "loss": 0.747,
730
+ "step": 1030
731
+ },
732
+ {
733
+ "epoch": 0.45390070921985815,
734
+ "grad_norm": 11.4375,
735
+ "learning_rate": 1.4508775406894308e-05,
736
+ "loss": 0.7394,
737
+ "step": 1040
738
+ },
739
+ {
740
+ "epoch": 0.4582651391162029,
741
+ "grad_norm": 8.375,
742
+ "learning_rate": 1.4383711467890776e-05,
743
+ "loss": 0.6999,
744
+ "step": 1050
745
+ },
746
+ {
747
+ "epoch": 0.46262956901254776,
748
+ "grad_norm": 11.9375,
749
+ "learning_rate": 1.4257792915650728e-05,
750
+ "loss": 0.7475,
751
+ "step": 1060
752
+ },
753
+ {
754
+ "epoch": 0.46699399890889254,
755
+ "grad_norm": 4.125,
756
+ "learning_rate": 1.413104429824542e-05,
757
+ "loss": 0.6836,
758
+ "step": 1070
759
+ },
760
+ {
761
+ "epoch": 0.4713584288052373,
762
+ "grad_norm": 6.5,
763
+ "learning_rate": 1.4003490325568953e-05,
764
+ "loss": 0.6974,
765
+ "step": 1080
766
+ },
767
+ {
768
+ "epoch": 0.4757228587015821,
769
+ "grad_norm": 8.375,
770
+ "learning_rate": 1.3875155864521031e-05,
771
+ "loss": 0.7776,
772
+ "step": 1090
773
+ },
774
+ {
775
+ "epoch": 0.4800872885979269,
776
+ "grad_norm": 11.125,
777
+ "learning_rate": 1.3746065934159123e-05,
778
+ "loss": 0.7633,
779
+ "step": 1100
780
+ },
781
+ {
782
+ "epoch": 0.4844517184942717,
783
+ "grad_norm": 6.09375,
784
+ "learning_rate": 1.3616245700820922e-05,
785
+ "loss": 0.7146,
786
+ "step": 1110
787
+ },
788
+ {
789
+ "epoch": 0.4888161483906165,
790
+ "grad_norm": 54.25,
791
+ "learning_rate": 1.3485720473218153e-05,
792
+ "loss": 0.7503,
793
+ "step": 1120
794
+ },
795
+ {
796
+ "epoch": 0.49318057828696127,
797
+ "grad_norm": 9.0,
798
+ "learning_rate": 1.3354515697502552e-05,
799
+ "loss": 0.6919,
800
+ "step": 1130
801
+ },
802
+ {
803
+ "epoch": 0.49754500818330605,
804
+ "grad_norm": 5.65625,
805
+ "learning_rate": 1.3222656952305113e-05,
806
+ "loss": 0.702,
807
+ "step": 1140
808
+ },
809
+ {
810
+ "epoch": 0.5019094380796508,
811
+ "grad_norm": 8.125,
812
+ "learning_rate": 1.3090169943749475e-05,
813
+ "loss": 0.7013,
814
+ "step": 1150
815
+ },
816
+ {
817
+ "epoch": 0.5062738679759956,
818
+ "grad_norm": 7.125,
819
+ "learning_rate": 1.2957080500440469e-05,
820
+ "loss": 0.6457,
821
+ "step": 1160
822
+ },
823
+ {
824
+ "epoch": 0.5106382978723404,
825
+ "grad_norm": 3.59375,
826
+ "learning_rate": 1.2823414568428767e-05,
827
+ "loss": 0.7375,
828
+ "step": 1170
829
+ },
830
+ {
831
+ "epoch": 0.5150027277686852,
832
+ "grad_norm": 7.53125,
833
+ "learning_rate": 1.2689198206152657e-05,
834
+ "loss": 0.6741,
835
+ "step": 1180
836
+ },
837
+ {
838
+ "epoch": 0.51936715766503,
839
+ "grad_norm": 5.5625,
840
+ "learning_rate": 1.2554457579357906e-05,
841
+ "loss": 0.6753,
842
+ "step": 1190
843
+ },
844
+ {
845
+ "epoch": 0.5237315875613748,
846
+ "grad_norm": 15.5625,
847
+ "learning_rate": 1.2419218955996677e-05,
848
+ "loss": 0.715,
849
+ "step": 1200
850
+ },
851
+ {
852
+ "epoch": 0.5280960174577196,
853
+ "grad_norm": 15.4375,
854
+ "learning_rate": 1.2283508701106559e-05,
855
+ "loss": 0.6916,
856
+ "step": 1210
857
+ },
858
+ {
859
+ "epoch": 0.5324604473540644,
860
+ "grad_norm": 5.90625,
861
+ "learning_rate": 1.2147353271670634e-05,
862
+ "loss": 0.7213,
863
+ "step": 1220
864
+ },
865
+ {
866
+ "epoch": 0.5368248772504092,
867
+ "grad_norm": 3.3125,
868
+ "learning_rate": 1.2010779211459649e-05,
869
+ "loss": 0.6672,
870
+ "step": 1230
871
+ },
872
+ {
873
+ "epoch": 0.541189307146754,
874
+ "grad_norm": 4.46875,
875
+ "learning_rate": 1.187381314585725e-05,
876
+ "loss": 0.6987,
877
+ "step": 1240
878
+ },
879
+ {
880
+ "epoch": 0.5455537370430987,
881
+ "grad_norm": 9.3125,
882
+ "learning_rate": 1.1736481776669307e-05,
883
+ "loss": 0.6964,
884
+ "step": 1250
885
+ },
886
+ {
887
+ "epoch": 0.5499181669394435,
888
+ "grad_norm": 11.625,
889
+ "learning_rate": 1.159881187691835e-05,
890
+ "loss": 0.689,
891
+ "step": 1260
892
+ },
893
+ {
894
+ "epoch": 0.5542825968357883,
895
+ "grad_norm": 8.4375,
896
+ "learning_rate": 1.1460830285624119e-05,
897
+ "loss": 0.662,
898
+ "step": 1270
899
+ },
900
+ {
901
+ "epoch": 0.5586470267321331,
902
+ "grad_norm": 12.875,
903
+ "learning_rate": 1.1322563902571227e-05,
904
+ "loss": 0.6413,
905
+ "step": 1280
906
+ },
907
+ {
908
+ "epoch": 0.563011456628478,
909
+ "grad_norm": 5.78125,
910
+ "learning_rate": 1.1184039683065014e-05,
911
+ "loss": 0.6609,
912
+ "step": 1290
913
+ },
914
+ {
915
+ "epoch": 0.5673758865248227,
916
+ "grad_norm": 6.0,
917
+ "learning_rate": 1.1045284632676535e-05,
918
+ "loss": 0.6716,
919
+ "step": 1300
920
+ },
921
+ {
922
+ "epoch": 0.5717403164211675,
923
+ "grad_norm": 9.0,
924
+ "learning_rate": 1.0906325801977804e-05,
925
+ "loss": 0.692,
926
+ "step": 1310
927
+ },
928
+ {
929
+ "epoch": 0.5761047463175123,
930
+ "grad_norm": 4.1875,
931
+ "learning_rate": 1.0767190281268187e-05,
932
+ "loss": 0.5993,
933
+ "step": 1320
934
+ },
935
+ {
936
+ "epoch": 0.5804691762138571,
937
+ "grad_norm": 3.953125,
938
+ "learning_rate": 1.0627905195293135e-05,
939
+ "loss": 0.6846,
940
+ "step": 1330
941
+ },
942
+ {
943
+ "epoch": 0.5848336061102019,
944
+ "grad_norm": 5.65625,
945
+ "learning_rate": 1.0488497697956134e-05,
946
+ "loss": 0.6426,
947
+ "step": 1340
948
+ },
949
+ {
950
+ "epoch": 0.5891980360065466,
951
+ "grad_norm": 3.796875,
952
+ "learning_rate": 1.0348994967025012e-05,
953
+ "loss": 0.7003,
954
+ "step": 1350
955
+ },
956
+ {
957
+ "epoch": 0.5935624659028914,
958
+ "grad_norm": 4.53125,
959
+ "learning_rate": 1.0209424198833571e-05,
960
+ "loss": 0.6536,
961
+ "step": 1360
962
+ },
963
+ {
964
+ "epoch": 0.5979268957992362,
965
+ "grad_norm": 6.0625,
966
+ "learning_rate": 1.0069812602979617e-05,
967
+ "loss": 0.6849,
968
+ "step": 1370
969
+ },
970
+ {
971
+ "epoch": 0.602291325695581,
972
+ "grad_norm": 4.34375,
973
+ "learning_rate": 9.930187397020385e-06,
974
+ "loss": 0.672,
975
+ "step": 1380
976
+ },
977
+ {
978
+ "epoch": 0.6066557555919257,
979
+ "grad_norm": 7.84375,
980
+ "learning_rate": 9.790575801166432e-06,
981
+ "loss": 0.715,
982
+ "step": 1390
983
+ },
984
+ {
985
+ "epoch": 0.6110201854882706,
986
+ "grad_norm": 3.078125,
987
+ "learning_rate": 9.651005032974994e-06,
988
+ "loss": 0.7157,
989
+ "step": 1400
990
+ },
991
+ {
992
+ "epoch": 0.6153846153846154,
993
+ "grad_norm": 9.1875,
994
+ "learning_rate": 9.511502302043867e-06,
995
+ "loss": 0.6274,
996
+ "step": 1410
997
+ },
998
+ {
999
+ "epoch": 0.6197490452809602,
1000
+ "grad_norm": 3.84375,
1001
+ "learning_rate": 9.372094804706867e-06,
1002
+ "loss": 0.6586,
1003
+ "step": 1420
1004
+ },
1005
+ {
1006
+ "epoch": 0.624113475177305,
1007
+ "grad_norm": 4.15625,
1008
+ "learning_rate": 9.232809718731815e-06,
1009
+ "loss": 0.623,
1010
+ "step": 1430
1011
+ },
1012
+ {
1013
+ "epoch": 0.6284779050736498,
1014
+ "grad_norm": 4.4375,
1015
+ "learning_rate": 9.093674198022201e-06,
1016
+ "loss": 0.6606,
1017
+ "step": 1440
1018
+ },
1019
+ {
1020
+ "epoch": 0.6328423349699945,
1021
+ "grad_norm": 8.25,
1022
+ "learning_rate": 8.954715367323468e-06,
1023
+ "loss": 0.6573,
1024
+ "step": 1450
1025
+ },
1026
+ {
1027
+ "epoch": 0.6372067648663393,
1028
+ "grad_norm": 3.671875,
1029
+ "learning_rate": 8.815960316934991e-06,
1030
+ "loss": 0.6806,
1031
+ "step": 1460
1032
+ },
1033
+ {
1034
+ "epoch": 0.6415711947626841,
1035
+ "grad_norm": 9.6875,
1036
+ "learning_rate": 8.677436097428775e-06,
1037
+ "loss": 0.6407,
1038
+ "step": 1470
1039
+ },
1040
+ {
1041
+ "epoch": 0.6459356246590289,
1042
+ "grad_norm": 8.5,
1043
+ "learning_rate": 8.539169714375885e-06,
1044
+ "loss": 0.7079,
1045
+ "step": 1480
1046
+ },
1047
+ {
1048
+ "epoch": 0.6503000545553737,
1049
+ "grad_norm": 4.3125,
1050
+ "learning_rate": 8.401188123081653e-06,
1051
+ "loss": 0.6743,
1052
+ "step": 1490
1053
+ },
1054
+ {
1055
+ "epoch": 0.6546644844517185,
1056
+ "grad_norm": 5.28125,
1057
+ "learning_rate": 8.263518223330698e-06,
1058
+ "loss": 0.5891,
1059
+ "step": 1500
1060
+ },
1061
+ {
1062
+ "epoch": 0.6590289143480633,
1063
+ "grad_norm": 2.890625,
1064
+ "learning_rate": 8.126186854142752e-06,
1065
+ "loss": 0.6864,
1066
+ "step": 1510
1067
+ },
1068
+ {
1069
+ "epoch": 0.6633933442444081,
1070
+ "grad_norm": 4.46875,
1071
+ "learning_rate": 7.989220788540356e-06,
1072
+ "loss": 0.6659,
1073
+ "step": 1520
1074
+ },
1075
+ {
1076
+ "epoch": 0.6677577741407529,
1077
+ "grad_norm": 3.78125,
1078
+ "learning_rate": 7.852646728329368e-06,
1079
+ "loss": 0.6588,
1080
+ "step": 1530
1081
+ },
1082
+ {
1083
+ "epoch": 0.6721222040370977,
1084
+ "grad_norm": 2.953125,
1085
+ "learning_rate": 7.716491298893443e-06,
1086
+ "loss": 0.6609,
1087
+ "step": 1540
1088
+ },
1089
+ {
1090
+ "epoch": 0.6764866339334424,
1091
+ "grad_norm": 4.375,
1092
+ "learning_rate": 7.580781044003324e-06,
1093
+ "loss": 0.6429,
1094
+ "step": 1550
1095
+ },
1096
+ {
1097
+ "epoch": 0.6808510638297872,
1098
+ "grad_norm": 6.53125,
1099
+ "learning_rate": 7.445542420642097e-06,
1100
+ "loss": 0.653,
1101
+ "step": 1560
1102
+ },
1103
+ {
1104
+ "epoch": 0.685215493726132,
1105
+ "grad_norm": 4.65625,
1106
+ "learning_rate": 7.310801793847344e-06,
1107
+ "loss": 0.6525,
1108
+ "step": 1570
1109
+ },
1110
+ {
1111
+ "epoch": 0.6895799236224768,
1112
+ "grad_norm": 3.828125,
1113
+ "learning_rate": 7.176585431571235e-06,
1114
+ "loss": 0.634,
1115
+ "step": 1580
1116
+ },
1117
+ {
1118
+ "epoch": 0.6939443535188216,
1119
+ "grad_norm": 3.53125,
1120
+ "learning_rate": 7.042919499559538e-06,
1121
+ "loss": 0.6536,
1122
+ "step": 1590
1123
+ },
1124
+ {
1125
+ "epoch": 0.6983087834151664,
1126
+ "grad_norm": 3.0,
1127
+ "learning_rate": 6.909830056250527e-06,
1128
+ "loss": 0.6663,
1129
+ "step": 1600
1130
+ },
1131
+ {
1132
+ "epoch": 0.7026732133115112,
1133
+ "grad_norm": 2.765625,
1134
+ "learning_rate": 6.777343047694891e-06,
1135
+ "loss": 0.6167,
1136
+ "step": 1610
1137
+ },
1138
+ {
1139
+ "epoch": 0.707037643207856,
1140
+ "grad_norm": 6.53125,
1141
+ "learning_rate": 6.645484302497452e-06,
1142
+ "loss": 0.5728,
1143
+ "step": 1620
1144
+ },
1145
+ {
1146
+ "epoch": 0.7114020731042008,
1147
+ "grad_norm": 3.609375,
1148
+ "learning_rate": 6.5142795267818505e-06,
1149
+ "loss": 0.6451,
1150
+ "step": 1630
1151
+ },
1152
+ {
1153
+ "epoch": 0.7157665030005456,
1154
+ "grad_norm": 2.6875,
1155
+ "learning_rate": 6.383754299179079e-06,
1156
+ "loss": 0.6403,
1157
+ "step": 1640
1158
+ },
1159
+ {
1160
+ "epoch": 0.7201309328968903,
1161
+ "grad_norm": 3.90625,
1162
+ "learning_rate": 6.25393406584088e-06,
1163
+ "loss": 0.6067,
1164
+ "step": 1650
1165
+ },
1166
+ {
1167
+ "epoch": 0.7244953627932351,
1168
+ "grad_norm": 3.375,
1169
+ "learning_rate": 6.124844135478971e-06,
1170
+ "loss": 0.6498,
1171
+ "step": 1660
1172
+ },
1173
+ {
1174
+ "epoch": 0.7288597926895799,
1175
+ "grad_norm": 9.75,
1176
+ "learning_rate": 5.996509674431053e-06,
1177
+ "loss": 0.6422,
1178
+ "step": 1670
1179
+ },
1180
+ {
1181
+ "epoch": 0.7332242225859247,
1182
+ "grad_norm": 4.09375,
1183
+ "learning_rate": 5.868955701754584e-06,
1184
+ "loss": 0.641,
1185
+ "step": 1680
1186
+ },
1187
+ {
1188
+ "epoch": 0.7375886524822695,
1189
+ "grad_norm": 3.4375,
1190
+ "learning_rate": 5.742207084349274e-06,
1191
+ "loss": 0.574,
1192
+ "step": 1690
1193
+ },
1194
+ {
1195
+ "epoch": 0.7419530823786143,
1196
+ "grad_norm": 3.03125,
1197
+ "learning_rate": 5.616288532109225e-06,
1198
+ "loss": 0.6205,
1199
+ "step": 1700
1200
+ },
1201
+ {
1202
+ "epoch": 0.7463175122749591,
1203
+ "grad_norm": 3.78125,
1204
+ "learning_rate": 5.491224593105695e-06,
1205
+ "loss": 0.6052,
1206
+ "step": 1710
1207
+ },
1208
+ {
1209
+ "epoch": 0.7506819421713039,
1210
+ "grad_norm": 4.25,
1211
+ "learning_rate": 5.367039648801386e-06,
1212
+ "loss": 0.6371,
1213
+ "step": 1720
1214
+ },
1215
+ {
1216
+ "epoch": 0.7550463720676487,
1217
+ "grad_norm": 5.875,
1218
+ "learning_rate": 5.243757909297247e-06,
1219
+ "loss": 0.6435,
1220
+ "step": 1730
1221
+ },
1222
+ {
1223
+ "epoch": 0.7594108019639935,
1224
+ "grad_norm": 6.15625,
1225
+ "learning_rate": 5.121403408612672e-06,
1226
+ "loss": 0.6427,
1227
+ "step": 1740
1228
+ },
1229
+ {
1230
+ "epoch": 0.7637752318603382,
1231
+ "grad_norm": 3.5625,
1232
+ "learning_rate": 5.000000000000003e-06,
1233
+ "loss": 0.6426,
1234
+ "step": 1750
1235
+ },
1236
+ {
1237
+ "epoch": 0.768139661756683,
1238
+ "grad_norm": 3.703125,
1239
+ "learning_rate": 4.879571351294287e-06,
1240
+ "loss": 0.6327,
1241
+ "step": 1760
1242
+ },
1243
+ {
1244
+ "epoch": 0.7725040916530278,
1245
+ "grad_norm": 3.828125,
1246
+ "learning_rate": 4.76014094029921e-06,
1247
+ "loss": 0.6088,
1248
+ "step": 1770
1249
+ },
1250
+ {
1251
+ "epoch": 0.7768685215493726,
1252
+ "grad_norm": 3.046875,
1253
+ "learning_rate": 4.641732050210032e-06,
1254
+ "loss": 0.6302,
1255
+ "step": 1780
1256
+ },
1257
+ {
1258
+ "epoch": 0.7812329514457174,
1259
+ "grad_norm": 3.09375,
1260
+ "learning_rate": 4.524367765074499e-06,
1261
+ "loss": 0.6669,
1262
+ "step": 1790
1263
+ },
1264
+ {
1265
+ "epoch": 0.7855973813420621,
1266
+ "grad_norm": 4.59375,
1267
+ "learning_rate": 4.408070965292534e-06,
1268
+ "loss": 0.663,
1269
+ "step": 1800
1270
+ },
1271
+ {
1272
+ "epoch": 0.789961811238407,
1273
+ "grad_norm": 2.890625,
1274
+ "learning_rate": 4.292864323155684e-06,
1275
+ "loss": 0.6331,
1276
+ "step": 1810
1277
+ },
1278
+ {
1279
+ "epoch": 0.7943262411347518,
1280
+ "grad_norm": 2.796875,
1281
+ "learning_rate": 4.178770298427107e-06,
1282
+ "loss": 0.6331,
1283
+ "step": 1820
1284
+ },
1285
+ {
1286
+ "epoch": 0.7986906710310966,
1287
+ "grad_norm": 2.796875,
1288
+ "learning_rate": 4.065811133962987e-06,
1289
+ "loss": 0.6317,
1290
+ "step": 1830
1291
+ },
1292
+ {
1293
+ "epoch": 0.8030551009274414,
1294
+ "grad_norm": 2.59375,
1295
+ "learning_rate": 3.954008851376252e-06,
1296
+ "loss": 0.6493,
1297
+ "step": 1840
1298
+ },
1299
+ {
1300
+ "epoch": 0.8074195308237861,
1301
+ "grad_norm": 4.1875,
1302
+ "learning_rate": 3.8433852467434175e-06,
1303
+ "loss": 0.5514,
1304
+ "step": 1850
1305
+ },
1306
+ {
1307
+ "epoch": 0.8117839607201309,
1308
+ "grad_norm": 3.203125,
1309
+ "learning_rate": 3.7339618863553983e-06,
1310
+ "loss": 0.5782,
1311
+ "step": 1860
1312
+ },
1313
+ {
1314
+ "epoch": 0.8161483906164757,
1315
+ "grad_norm": 2.84375,
1316
+ "learning_rate": 3.625760102513103e-06,
1317
+ "loss": 0.6039,
1318
+ "step": 1870
1319
+ },
1320
+ {
1321
+ "epoch": 0.8205128205128205,
1322
+ "grad_norm": 5.6875,
1323
+ "learning_rate": 3.5188009893686916e-06,
1324
+ "loss": 0.6285,
1325
+ "step": 1880
1326
+ },
1327
+ {
1328
+ "epoch": 0.8248772504091653,
1329
+ "grad_norm": 3.890625,
1330
+ "learning_rate": 3.4131053988131947e-06,
1331
+ "loss": 0.6174,
1332
+ "step": 1890
1333
+ },
1334
+ {
1335
+ "epoch": 0.82924168030551,
1336
+ "grad_norm": 2.78125,
1337
+ "learning_rate": 3.308693936411421e-06,
1338
+ "loss": 0.5981,
1339
+ "step": 1900
1340
+ },
1341
+ {
1342
+ "epoch": 0.8336061102018549,
1343
+ "grad_norm": 3.46875,
1344
+ "learning_rate": 3.2055869573848374e-06,
1345
+ "loss": 0.623,
1346
+ "step": 1910
1347
+ },
1348
+ {
1349
+ "epoch": 0.8379705400981997,
1350
+ "grad_norm": 2.609375,
1351
+ "learning_rate": 3.103804562643302e-06,
1352
+ "loss": 0.5816,
1353
+ "step": 1920
1354
+ },
1355
+ {
1356
+ "epoch": 0.8423349699945445,
1357
+ "grad_norm": 2.1875,
1358
+ "learning_rate": 3.003366594866345e-06,
1359
+ "loss": 0.6548,
1360
+ "step": 1930
1361
+ },
1362
+ {
1363
+ "epoch": 0.8466993998908893,
1364
+ "grad_norm": 2.296875,
1365
+ "learning_rate": 2.9042926346347932e-06,
1366
+ "loss": 0.5988,
1367
+ "step": 1940
1368
+ },
1369
+ {
1370
+ "epoch": 0.851063829787234,
1371
+ "grad_norm": 2.578125,
1372
+ "learning_rate": 2.8066019966134907e-06,
1373
+ "loss": 0.6785,
1374
+ "step": 1950
1375
+ },
1376
+ {
1377
+ "epoch": 0.8554282596835788,
1378
+ "grad_norm": 2.78125,
1379
+ "learning_rate": 2.7103137257858867e-06,
1380
+ "loss": 0.5518,
1381
+ "step": 1960
1382
+ },
1383
+ {
1384
+ "epoch": 0.8597926895799236,
1385
+ "grad_norm": 5.28125,
1386
+ "learning_rate": 2.615446593741161e-06,
1387
+ "loss": 0.542,
1388
+ "step": 1970
1389
+ },
1390
+ {
1391
+ "epoch": 0.8641571194762684,
1392
+ "grad_norm": 4.25,
1393
+ "learning_rate": 2.522019095014683e-06,
1394
+ "loss": 0.6423,
1395
+ "step": 1980
1396
+ },
1397
+ {
1398
+ "epoch": 0.8685215493726132,
1399
+ "grad_norm": 2.375,
1400
+ "learning_rate": 2.4300494434824373e-06,
1401
+ "loss": 0.6308,
1402
+ "step": 1990
1403
+ },
1404
+ {
1405
+ "epoch": 0.872885979268958,
1406
+ "grad_norm": 5.53125,
1407
+ "learning_rate": 2.339555568810221e-06,
1408
+ "loss": 0.6274,
1409
+ "step": 2000
1410
+ },
1411
+ {
1412
+ "epoch": 0.8772504091653028,
1413
+ "grad_norm": 4.1875,
1414
+ "learning_rate": 2.2505551129582047e-06,
1415
+ "loss": 0.5911,
1416
+ "step": 2010
1417
+ },
1418
+ {
1419
+ "epoch": 0.8816148390616476,
1420
+ "grad_norm": 3.421875,
1421
+ "learning_rate": 2.163065426741603e-06,
1422
+ "loss": 0.6439,
1423
+ "step": 2020
1424
+ },
1425
+ {
1426
+ "epoch": 0.8859792689579924,
1427
+ "grad_norm": 3.109375,
1428
+ "learning_rate": 2.0771035664480944e-06,
1429
+ "loss": 0.5757,
1430
+ "step": 2030
1431
+ },
1432
+ {
1433
+ "epoch": 0.8903436988543372,
1434
+ "grad_norm": 2.765625,
1435
+ "learning_rate": 1.9926862905126663e-06,
1436
+ "loss": 0.6262,
1437
+ "step": 2040
1438
+ },
1439
+ {
1440
+ "epoch": 0.894708128750682,
1441
+ "grad_norm": 3.4375,
1442
+ "learning_rate": 1.9098300562505266e-06,
1443
+ "loss": 0.5814,
1444
+ "step": 2050
1445
+ },
1446
+ {
1447
+ "epoch": 0.8990725586470267,
1448
+ "grad_norm": 3.484375,
1449
+ "learning_rate": 1.8285510166487154e-06,
1450
+ "loss": 0.6194,
1451
+ "step": 2060
1452
+ },
1453
+ {
1454
+ "epoch": 0.9034369885433715,
1455
+ "grad_norm": 3.078125,
1456
+ "learning_rate": 1.7488650172170496e-06,
1457
+ "loss": 0.6041,
1458
+ "step": 2070
1459
+ },
1460
+ {
1461
+ "epoch": 0.9078014184397163,
1462
+ "grad_norm": 2.578125,
1463
+ "learning_rate": 1.6707875928990059e-06,
1464
+ "loss": 0.6193,
1465
+ "step": 2080
1466
+ },
1467
+ {
1468
+ "epoch": 0.9121658483360611,
1469
+ "grad_norm": 2.34375,
1470
+ "learning_rate": 1.5943339650431578e-06,
1471
+ "loss": 0.642,
1472
+ "step": 2090
1473
+ },
1474
+ {
1475
+ "epoch": 0.9165302782324058,
1476
+ "grad_norm": 3.921875,
1477
+ "learning_rate": 1.5195190384357405e-06,
1478
+ "loss": 0.6828,
1479
+ "step": 2100
1480
+ },
1481
+ {
1482
+ "epoch": 0.9208947081287506,
1483
+ "grad_norm": 4.28125,
1484
+ "learning_rate": 1.446357398394934e-06,
1485
+ "loss": 0.6085,
1486
+ "step": 2110
1487
+ },
1488
+ {
1489
+ "epoch": 0.9252591380250955,
1490
+ "grad_norm": 2.15625,
1491
+ "learning_rate": 1.3748633079274254e-06,
1492
+ "loss": 0.5675,
1493
+ "step": 2120
1494
+ },
1495
+ {
1496
+ "epoch": 0.9296235679214403,
1497
+ "grad_norm": 3.1875,
1498
+ "learning_rate": 1.30505070494781e-06,
1499
+ "loss": 0.5656,
1500
+ "step": 2130
1501
+ },
1502
+ {
1503
+ "epoch": 0.9339879978177851,
1504
+ "grad_norm": 3.625,
1505
+ "learning_rate": 1.2369331995613664e-06,
1506
+ "loss": 0.5895,
1507
+ "step": 2140
1508
+ },
1509
+ {
1510
+ "epoch": 0.9383524277141299,
1511
+ "grad_norm": 2.1875,
1512
+ "learning_rate": 1.1705240714107301e-06,
1513
+ "loss": 0.5821,
1514
+ "step": 2150
1515
+ },
1516
+ {
1517
+ "epoch": 0.9427168576104746,
1518
+ "grad_norm": 3.15625,
1519
+ "learning_rate": 1.1058362670870248e-06,
1520
+ "loss": 0.6069,
1521
+ "step": 2160
1522
+ },
1523
+ {
1524
+ "epoch": 0.9470812875068194,
1525
+ "grad_norm": 2.25,
1526
+ "learning_rate": 1.042882397605871e-06,
1527
+ "loss": 0.5872,
1528
+ "step": 2170
1529
+ },
1530
+ {
1531
+ "epoch": 0.9514457174031642,
1532
+ "grad_norm": 2.328125,
1533
+ "learning_rate": 9.816747359488632e-07,
1534
+ "loss": 0.6129,
1535
+ "step": 2180
1536
+ },
1537
+ {
1538
+ "epoch": 0.955810147299509,
1539
+ "grad_norm": 3.640625,
1540
+ "learning_rate": 9.222252146709143e-07,
1541
+ "loss": 0.5772,
1542
+ "step": 2190
1543
+ },
1544
+ {
1545
+ "epoch": 0.9601745771958538,
1546
+ "grad_norm": 2.421875,
1547
+ "learning_rate": 8.645454235739903e-07,
1548
+ "loss": 0.5627,
1549
+ "step": 2200
1550
+ },
1551
+ {
1552
+ "epoch": 0.9645390070921985,
1553
+ "grad_norm": 3.421875,
1554
+ "learning_rate": 8.086466074476562e-07,
1555
+ "loss": 0.6029,
1556
+ "step": 2210
1557
+ },
1558
+ {
1559
+ "epoch": 0.9689034369885434,
1560
+ "grad_norm": 3.640625,
1561
+ "learning_rate": 7.545396638768698e-07,
1562
+ "loss": 0.6363,
1563
+ "step": 2220
1564
+ },
1565
+ {
1566
+ "epoch": 0.9732678668848882,
1567
+ "grad_norm": 2.390625,
1568
+ "learning_rate": 7.022351411174866e-07,
1569
+ "loss": 0.6272,
1570
+ "step": 2230
1571
+ },
1572
+ {
1573
+ "epoch": 0.977632296781233,
1574
+ "grad_norm": 3.453125,
1575
+ "learning_rate": 6.517432360398556e-07,
1576
+ "loss": 0.6513,
1577
+ "step": 2240
1578
+ },
1579
+ {
1580
+ "epoch": 0.9819967266775778,
1581
+ "grad_norm": 2.359375,
1582
+ "learning_rate": 6.030737921409169e-07,
1583
+ "loss": 0.5883,
1584
+ "step": 2250
1585
+ },
1586
+ {
1587
+ "epoch": 0.9863611565739225,
1588
+ "grad_norm": 3.234375,
1589
+ "learning_rate": 5.562362976251901e-07,
1590
+ "loss": 0.533,
1591
+ "step": 2260
1592
+ },
1593
+ {
1594
+ "epoch": 0.9907255864702673,
1595
+ "grad_norm": 4.125,
1596
+ "learning_rate": 5.112398835550348e-07,
1597
+ "loss": 0.5942,
1598
+ "step": 2270
1599
+ },
1600
+ {
1601
+ "epoch": 0.9950900163666121,
1602
+ "grad_norm": 3.921875,
1603
+ "learning_rate": 4.6809332207053083e-07,
1604
+ "loss": 0.6296,
1605
+ "step": 2280
1606
+ },
1607
+ {
1608
+ "epoch": 0.9994544462629569,
1609
+ "grad_norm": 4.65625,
1610
+ "learning_rate": 4.268050246793276e-07,
1611
+ "loss": 0.6062,
1612
+ "step": 2290
1613
+ },
1614
+ {
1615
+ "epoch": 1.0038188761593017,
1616
+ "grad_norm": 4.15625,
1617
+ "learning_rate": 3.8738304061681107e-07,
1618
+ "loss": 0.5659,
1619
+ "step": 2300
1620
+ },
1621
+ {
1622
+ "epoch": 1.0081833060556464,
1623
+ "grad_norm": 3.34375,
1624
+ "learning_rate": 3.498350552768859e-07,
1625
+ "loss": 0.5449,
1626
+ "step": 2310
1627
+ },
1628
+ {
1629
+ "epoch": 1.0125477359519912,
1630
+ "grad_norm": 2.34375,
1631
+ "learning_rate": 3.1416838871368925e-07,
1632
+ "loss": 0.6096,
1633
+ "step": 2320
1634
+ },
1635
+ {
1636
+ "epoch": 1.016912165848336,
1637
+ "grad_norm": 2.296875,
1638
+ "learning_rate": 2.8038999421453827e-07,
1639
+ "loss": 0.5532,
1640
+ "step": 2330
1641
+ },
1642
+ {
1643
+ "epoch": 1.0212765957446808,
1644
+ "grad_norm": 2.6875,
1645
+ "learning_rate": 2.4850645694436736e-07,
1646
+ "loss": 0.573,
1647
+ "step": 2340
1648
+ },
1649
+ {
1650
+ "epoch": 1.0256410256410255,
1651
+ "grad_norm": 2.515625,
1652
+ "learning_rate": 2.1852399266194312e-07,
1653
+ "loss": 0.5651,
1654
+ "step": 2350
1655
+ },
1656
+ {
1657
+ "epoch": 1.0300054555373703,
1658
+ "grad_norm": 2.453125,
1659
+ "learning_rate": 1.9044844650808468e-07,
1660
+ "loss": 0.591,
1661
+ "step": 2360
1662
+ },
1663
+ {
1664
+ "epoch": 1.034369885433715,
1665
+ "grad_norm": 3.125,
1666
+ "learning_rate": 1.6428529186614195e-07,
1667
+ "loss": 0.5842,
1668
+ "step": 2370
1669
+ },
1670
+ {
1671
+ "epoch": 1.03873431533006,
1672
+ "grad_norm": 3.234375,
1673
+ "learning_rate": 1.400396292949513e-07,
1674
+ "loss": 0.5802,
1675
+ "step": 2380
1676
+ },
1677
+ {
1678
+ "epoch": 1.0430987452264049,
1679
+ "grad_norm": 2.71875,
1680
+ "learning_rate": 1.1771618553447217e-07,
1681
+ "loss": 0.5589,
1682
+ "step": 2390
1683
+ },
1684
+ {
1685
+ "epoch": 1.0474631751227497,
1686
+ "grad_norm": 2.6875,
1687
+ "learning_rate": 9.731931258429638e-08,
1688
+ "loss": 0.5831,
1689
+ "step": 2400
1690
+ },
1691
+ {
1692
+ "epoch": 1.0518276050190944,
1693
+ "grad_norm": 2.015625,
1694
+ "learning_rate": 7.885298685522235e-08,
1695
+ "loss": 0.5566,
1696
+ "step": 2410
1697
+ },
1698
+ {
1699
+ "epoch": 1.0561920349154392,
1700
+ "grad_norm": 6.0,
1701
+ "learning_rate": 6.232080839403631e-08,
1702
+ "loss": 0.5911,
1703
+ "step": 2420
1704
+ },
1705
+ {
1706
+ "epoch": 1.060556464811784,
1707
+ "grad_norm": 2.96875,
1708
+ "learning_rate": 4.772600018168816e-08,
1709
+ "loss": 0.5843,
1710
+ "step": 2430
1711
+ },
1712
+ {
1713
+ "epoch": 1.0649208947081288,
1714
+ "grad_norm": 3.171875,
1715
+ "learning_rate": 3.50714075049563e-08,
1716
+ "loss": 0.5714,
1717
+ "step": 2440
1718
+ },
1719
+ {
1720
+ "epoch": 1.0692853246044736,
1721
+ "grad_norm": 2.703125,
1722
+ "learning_rate": 2.4359497401758026e-08,
1723
+ "loss": 0.5564,
1724
+ "step": 2450
1725
+ },
1726
+ {
1727
+ "epoch": 1.0736497545008183,
1728
+ "grad_norm": 2.890625,
1729
+ "learning_rate": 1.5592358180189782e-08,
1730
+ "loss": 0.6422,
1731
+ "step": 2460
1732
+ },
1733
+ {
1734
+ "epoch": 1.0780141843971631,
1735
+ "grad_norm": 4.5,
1736
+ "learning_rate": 8.771699011416169e-09,
1737
+ "loss": 0.5337,
1738
+ "step": 2470
1739
+ },
1740
+ {
1741
+ "epoch": 1.082378614293508,
1742
+ "grad_norm": 2.703125,
1743
+ "learning_rate": 3.898849596456477e-09,
1744
+ "loss": 0.6038,
1745
+ "step": 2480
1746
+ },
1747
+ {
1748
+ "epoch": 1.0867430441898527,
1749
+ "grad_norm": 2.34375,
1750
+ "learning_rate": 9.74759906957612e-10,
1751
+ "loss": 0.5723,
1752
+ "step": 2490
1753
+ },
1754
+ {
1755
+ "epoch": 1.0911074740861975,
1756
+ "grad_norm": 2.84375,
1757
+ "learning_rate": 0.0,
1758
+ "loss": 0.5915,
1759
+ "step": 2500
1760
+ }
1761
+ ],
1762
+ "logging_steps": 10,
1763
+ "max_steps": 2500,
1764
+ "num_input_tokens_seen": 0,
1765
+ "num_train_epochs": 2,
1766
+ "save_steps": 500,
1767
+ "stateful_callbacks": {
1768
+ "TrainerControl": {
1769
+ "args": {
1770
+ "should_epoch_stop": false,
1771
+ "should_evaluate": false,
1772
+ "should_log": false,
1773
+ "should_save": true,
1774
+ "should_training_stop": true
1775
+ },
1776
+ "attributes": {}
1777
+ }
1778
+ },
1779
+ "total_flos": 9.5664155394048e+17,
1780
+ "train_batch_size": 4,
1781
+ "trial_name": null,
1782
+ "trial_params": null
1783
+ }
checkpoint-2500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c5793f646fe6f22e93a8017b9608e8c23d00d4edcc0f719ae635844fcd92f55
3
+ size 5368