lectura commited on
Commit
2e07086
1 Parent(s): 6d62b76

Training in progress, step 2000, checkpoint

Browse files
checkpoint-2000/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "nickypro/tinyllama-110M",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 2048,
13
+ "max_position_embeddings": 1024,
14
+ "model_type": "llama",
15
+ "num_attention_heads": 12,
16
+ "num_hidden_layers": 12,
17
+ "num_key_value_heads": 12,
18
+ "pretraining_tp": 1,
19
+ "rms_norm_eps": 1e-05,
20
+ "rope_scaling": null,
21
+ "rope_theta": 10000.0,
22
+ "tie_word_embeddings": true,
23
+ "torch_dtype": "float16",
24
+ "transformers_version": "4.34.1",
25
+ "use_cache": true,
26
+ "vocab_size": 46336
27
+ }
checkpoint-2000/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.34.1"
6
+ }
checkpoint-2000/global_step2000/mp_rank_00_model_states.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7212a9551d0c75d80bdc61705849de92d222c3750909cc28ce955d352d5b5f71
3
+ size 1687740870
checkpoint-2000/latest ADDED
@@ -0,0 +1 @@
 
 
1
+ global_step2000
checkpoint-2000/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f8c1faed6d04c84b3bdbda0e20d51a3631f4d4b453183656d2877a322edb40e8
3
+ size 312287814
checkpoint-2000/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f8f81f81a21cdf7d6a9d642f67427b821e87802eb5a4ca4a5c038480e9a673f
3
+ size 15984
checkpoint-2000/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c967add958d82a4ef6285ec19e0e5a560f82b1ea3488260d2539d200cb5f199b
3
+ size 15984
checkpoint-2000/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a5e30f320a5f3e4a4760af275c4a2bb9fdcfc6c661a3757da3b20b4c29a87fc
3
+ size 15984
checkpoint-2000/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3411b849d13fdd9e668c8cc5fafa8402de13fd4a2d5761eaf33f2791780721e4
3
+ size 15984
checkpoint-2000/rng_state_4.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1765109deada93bbc4f9e38b5c3c6bbd9afe9a12839bbbd72227ca7ff46467b1
3
+ size 15984
checkpoint-2000/rng_state_5.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6147f79a889f2906a81eea5c06f72acf722f674546fd6be8432d3d70a04392a8
3
+ size 15984
checkpoint-2000/rng_state_6.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a9f5815a19b60dc1bb303c451b515a4ec523fa0faf1c87c69b03ad4032c4baa2
3
+ size 15984
checkpoint-2000/rng_state_7.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:395da160bbc37f8049700e0d82d501cbd1effc732719599c0cd143db7892910e
3
+ size 15984
checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfe4d506eb79b2afcda21ae799081e7329f98f2075ad245741a51d11e56354e4
3
+ size 1064
checkpoint-2000/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<unk>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
checkpoint-2000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2000/tokenizer_config.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<unk>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<s>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "46331": {
28
+ "content": "<|sep|>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "46332": {
36
+ "content": "<|endoftext|>",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ },
43
+ "46333": {
44
+ "content": "<|acc|>",
45
+ "lstrip": false,
46
+ "normalized": false,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": true
50
+ },
51
+ "46334": {
52
+ "content": "<|rrn|>",
53
+ "lstrip": false,
54
+ "normalized": false,
55
+ "rstrip": false,
56
+ "single_word": false,
57
+ "special": true
58
+ },
59
+ "46335": {
60
+ "content": "<|tel|>",
61
+ "lstrip": false,
62
+ "normalized": false,
63
+ "rstrip": false,
64
+ "single_word": false,
65
+ "special": true
66
+ }
67
+ },
68
+ "bos_token": "<s>",
69
+ "clean_up_tokenization_spaces": false,
70
+ "eos_token": "</s>",
71
+ "legacy": false,
72
+ "model_max_length": 1000000000000000019884624838656,
73
+ "pad_token": "<unk>",
74
+ "sp_model_kwargs": {},
75
+ "tokenizer_class": "LlamaTokenizer",
76
+ "unk_token": "<unk>",
77
+ "use_default_system_prompt": true
78
+ }
checkpoint-2000/trainer_state.json ADDED
@@ -0,0 +1,1219 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 19.607843137254903,
5
+ "eval_steps": 500,
6
+ "global_step": 2000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1,
13
+ "learning_rate": 0.0003996,
14
+ "loss": 9.2736,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.2,
19
+ "learning_rate": 0.0003992,
20
+ "loss": 7.7626,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.29,
25
+ "learning_rate": 0.00039880000000000004,
26
+ "loss": 7.5202,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.39,
31
+ "learning_rate": 0.00039840000000000003,
32
+ "loss": 7.371,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.49,
37
+ "learning_rate": 0.000398,
38
+ "loss": 7.2352,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.59,
43
+ "learning_rate": 0.0003976,
44
+ "loss": 7.1352,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.69,
49
+ "learning_rate": 0.0003972,
50
+ "loss": 7.0625,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.78,
55
+ "learning_rate": 0.0003968,
56
+ "loss": 6.911,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.88,
61
+ "learning_rate": 0.00039640000000000004,
62
+ "loss": 6.7717,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.98,
67
+ "learning_rate": 0.00039600000000000003,
68
+ "loss": 6.6484,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 1.08,
73
+ "learning_rate": 0.0003956,
74
+ "loss": 6.5492,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 1.18,
79
+ "learning_rate": 0.0003952,
80
+ "loss": 6.4417,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 1.27,
85
+ "learning_rate": 0.0003948,
86
+ "loss": 6.3311,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 1.37,
91
+ "learning_rate": 0.0003944,
92
+ "loss": 6.2206,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 1.47,
97
+ "learning_rate": 0.00039400000000000004,
98
+ "loss": 6.1179,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 1.57,
103
+ "learning_rate": 0.0003936,
104
+ "loss": 6.0151,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 1.67,
109
+ "learning_rate": 0.0003932,
110
+ "loss": 5.9035,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 1.76,
115
+ "learning_rate": 0.0003928,
116
+ "loss": 5.8222,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 1.86,
121
+ "learning_rate": 0.0003924,
122
+ "loss": 5.7042,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 1.96,
127
+ "learning_rate": 0.000392,
128
+ "loss": 5.6265,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 2.06,
133
+ "learning_rate": 0.00039160000000000003,
134
+ "loss": 5.5338,
135
+ "step": 210
136
+ },
137
+ {
138
+ "epoch": 2.16,
139
+ "learning_rate": 0.0003912,
140
+ "loss": 5.4521,
141
+ "step": 220
142
+ },
143
+ {
144
+ "epoch": 2.25,
145
+ "learning_rate": 0.0003908,
146
+ "loss": 5.3552,
147
+ "step": 230
148
+ },
149
+ {
150
+ "epoch": 2.35,
151
+ "learning_rate": 0.0003904,
152
+ "loss": 5.2771,
153
+ "step": 240
154
+ },
155
+ {
156
+ "epoch": 2.45,
157
+ "learning_rate": 0.00039,
158
+ "loss": 5.1587,
159
+ "step": 250
160
+ },
161
+ {
162
+ "epoch": 2.55,
163
+ "learning_rate": 0.0003896,
164
+ "loss": 5.0899,
165
+ "step": 260
166
+ },
167
+ {
168
+ "epoch": 2.65,
169
+ "learning_rate": 0.00038920000000000003,
170
+ "loss": 5.0191,
171
+ "step": 270
172
+ },
173
+ {
174
+ "epoch": 2.75,
175
+ "learning_rate": 0.0003888,
176
+ "loss": 4.9602,
177
+ "step": 280
178
+ },
179
+ {
180
+ "epoch": 2.84,
181
+ "learning_rate": 0.0003884,
182
+ "loss": 4.8366,
183
+ "step": 290
184
+ },
185
+ {
186
+ "epoch": 2.94,
187
+ "learning_rate": 0.000388,
188
+ "loss": 4.7848,
189
+ "step": 300
190
+ },
191
+ {
192
+ "epoch": 3.04,
193
+ "learning_rate": 0.0003876,
194
+ "loss": 4.7199,
195
+ "step": 310
196
+ },
197
+ {
198
+ "epoch": 3.14,
199
+ "learning_rate": 0.00038720000000000003,
200
+ "loss": 4.6306,
201
+ "step": 320
202
+ },
203
+ {
204
+ "epoch": 3.24,
205
+ "learning_rate": 0.0003868,
206
+ "loss": 4.5337,
207
+ "step": 330
208
+ },
209
+ {
210
+ "epoch": 3.33,
211
+ "learning_rate": 0.0003864,
212
+ "loss": 4.4796,
213
+ "step": 340
214
+ },
215
+ {
216
+ "epoch": 3.43,
217
+ "learning_rate": 0.000386,
218
+ "loss": 4.3881,
219
+ "step": 350
220
+ },
221
+ {
222
+ "epoch": 3.53,
223
+ "learning_rate": 0.0003856,
224
+ "loss": 4.2989,
225
+ "step": 360
226
+ },
227
+ {
228
+ "epoch": 3.63,
229
+ "learning_rate": 0.0003852,
230
+ "loss": 4.2533,
231
+ "step": 370
232
+ },
233
+ {
234
+ "epoch": 3.73,
235
+ "learning_rate": 0.00038480000000000003,
236
+ "loss": 4.2379,
237
+ "step": 380
238
+ },
239
+ {
240
+ "epoch": 3.82,
241
+ "learning_rate": 0.0003844,
242
+ "loss": 4.142,
243
+ "step": 390
244
+ },
245
+ {
246
+ "epoch": 3.92,
247
+ "learning_rate": 0.000384,
248
+ "loss": 4.0793,
249
+ "step": 400
250
+ },
251
+ {
252
+ "epoch": 4.02,
253
+ "learning_rate": 0.0003836,
254
+ "loss": 4.0005,
255
+ "step": 410
256
+ },
257
+ {
258
+ "epoch": 4.12,
259
+ "learning_rate": 0.0003832,
260
+ "loss": 3.9619,
261
+ "step": 420
262
+ },
263
+ {
264
+ "epoch": 4.22,
265
+ "learning_rate": 0.0003828,
266
+ "loss": 3.8687,
267
+ "step": 430
268
+ },
269
+ {
270
+ "epoch": 4.31,
271
+ "learning_rate": 0.0003824,
272
+ "loss": 3.8486,
273
+ "step": 440
274
+ },
275
+ {
276
+ "epoch": 4.41,
277
+ "learning_rate": 0.000382,
278
+ "loss": 3.7684,
279
+ "step": 450
280
+ },
281
+ {
282
+ "epoch": 4.51,
283
+ "learning_rate": 0.0003816,
284
+ "loss": 3.7013,
285
+ "step": 460
286
+ },
287
+ {
288
+ "epoch": 4.61,
289
+ "learning_rate": 0.0003812,
290
+ "loss": 3.6851,
291
+ "step": 470
292
+ },
293
+ {
294
+ "epoch": 4.71,
295
+ "learning_rate": 0.0003808,
296
+ "loss": 3.6585,
297
+ "step": 480
298
+ },
299
+ {
300
+ "epoch": 4.8,
301
+ "learning_rate": 0.0003804,
302
+ "loss": 3.6172,
303
+ "step": 490
304
+ },
305
+ {
306
+ "epoch": 4.9,
307
+ "learning_rate": 0.00038,
308
+ "loss": 3.5557,
309
+ "step": 500
310
+ },
311
+ {
312
+ "epoch": 5.0,
313
+ "learning_rate": 0.0003796,
314
+ "loss": 3.4746,
315
+ "step": 510
316
+ },
317
+ {
318
+ "epoch": 5.1,
319
+ "learning_rate": 0.0003792,
320
+ "loss": 3.4473,
321
+ "step": 520
322
+ },
323
+ {
324
+ "epoch": 5.2,
325
+ "learning_rate": 0.0003788,
326
+ "loss": 3.3828,
327
+ "step": 530
328
+ },
329
+ {
330
+ "epoch": 5.29,
331
+ "learning_rate": 0.0003784,
332
+ "loss": 3.3868,
333
+ "step": 540
334
+ },
335
+ {
336
+ "epoch": 5.39,
337
+ "learning_rate": 0.00037799999999999997,
338
+ "loss": 3.31,
339
+ "step": 550
340
+ },
341
+ {
342
+ "epoch": 5.49,
343
+ "learning_rate": 0.0003776,
344
+ "loss": 3.2628,
345
+ "step": 560
346
+ },
347
+ {
348
+ "epoch": 5.59,
349
+ "learning_rate": 0.0003772,
350
+ "loss": 3.2541,
351
+ "step": 570
352
+ },
353
+ {
354
+ "epoch": 5.69,
355
+ "learning_rate": 0.0003768,
356
+ "loss": 3.223,
357
+ "step": 580
358
+ },
359
+ {
360
+ "epoch": 5.78,
361
+ "learning_rate": 0.0003764,
362
+ "loss": 3.2028,
363
+ "step": 590
364
+ },
365
+ {
366
+ "epoch": 5.88,
367
+ "learning_rate": 0.000376,
368
+ "loss": 3.1659,
369
+ "step": 600
370
+ },
371
+ {
372
+ "epoch": 5.98,
373
+ "learning_rate": 0.0003756,
374
+ "loss": 3.0847,
375
+ "step": 610
376
+ },
377
+ {
378
+ "epoch": 6.08,
379
+ "learning_rate": 0.0003752,
380
+ "loss": 3.0215,
381
+ "step": 620
382
+ },
383
+ {
384
+ "epoch": 6.18,
385
+ "learning_rate": 0.00037480000000000006,
386
+ "loss": 3.0149,
387
+ "step": 630
388
+ },
389
+ {
390
+ "epoch": 6.27,
391
+ "learning_rate": 0.00037440000000000005,
392
+ "loss": 3.0177,
393
+ "step": 640
394
+ },
395
+ {
396
+ "epoch": 6.37,
397
+ "learning_rate": 0.00037400000000000004,
398
+ "loss": 2.9474,
399
+ "step": 650
400
+ },
401
+ {
402
+ "epoch": 6.47,
403
+ "learning_rate": 0.00037360000000000003,
404
+ "loss": 2.9245,
405
+ "step": 660
406
+ },
407
+ {
408
+ "epoch": 6.57,
409
+ "learning_rate": 0.0003732,
410
+ "loss": 2.9218,
411
+ "step": 670
412
+ },
413
+ {
414
+ "epoch": 6.67,
415
+ "learning_rate": 0.00037280000000000006,
416
+ "loss": 2.8666,
417
+ "step": 680
418
+ },
419
+ {
420
+ "epoch": 6.76,
421
+ "learning_rate": 0.00037240000000000005,
422
+ "loss": 2.8821,
423
+ "step": 690
424
+ },
425
+ {
426
+ "epoch": 6.86,
427
+ "learning_rate": 0.00037200000000000004,
428
+ "loss": 2.8243,
429
+ "step": 700
430
+ },
431
+ {
432
+ "epoch": 6.96,
433
+ "learning_rate": 0.00037160000000000003,
434
+ "loss": 2.7753,
435
+ "step": 710
436
+ },
437
+ {
438
+ "epoch": 7.06,
439
+ "learning_rate": 0.0003712,
440
+ "loss": 2.7086,
441
+ "step": 720
442
+ },
443
+ {
444
+ "epoch": 7.16,
445
+ "learning_rate": 0.0003708,
446
+ "loss": 2.7104,
447
+ "step": 730
448
+ },
449
+ {
450
+ "epoch": 7.25,
451
+ "learning_rate": 0.00037040000000000006,
452
+ "loss": 2.7103,
453
+ "step": 740
454
+ },
455
+ {
456
+ "epoch": 7.35,
457
+ "learning_rate": 0.00037000000000000005,
458
+ "loss": 2.6707,
459
+ "step": 750
460
+ },
461
+ {
462
+ "epoch": 7.45,
463
+ "learning_rate": 0.00036960000000000004,
464
+ "loss": 2.6413,
465
+ "step": 760
466
+ },
467
+ {
468
+ "epoch": 7.55,
469
+ "learning_rate": 0.00036920000000000003,
470
+ "loss": 2.6359,
471
+ "step": 770
472
+ },
473
+ {
474
+ "epoch": 7.65,
475
+ "learning_rate": 0.0003688,
476
+ "loss": 2.5838,
477
+ "step": 780
478
+ },
479
+ {
480
+ "epoch": 7.75,
481
+ "learning_rate": 0.0003684,
482
+ "loss": 2.6212,
483
+ "step": 790
484
+ },
485
+ {
486
+ "epoch": 7.84,
487
+ "learning_rate": 0.00036800000000000005,
488
+ "loss": 2.5718,
489
+ "step": 800
490
+ },
491
+ {
492
+ "epoch": 7.94,
493
+ "learning_rate": 0.00036760000000000004,
494
+ "loss": 2.5348,
495
+ "step": 810
496
+ },
497
+ {
498
+ "epoch": 8.04,
499
+ "learning_rate": 0.00036720000000000004,
500
+ "loss": 2.4195,
501
+ "step": 820
502
+ },
503
+ {
504
+ "epoch": 8.14,
505
+ "learning_rate": 0.0003668,
506
+ "loss": 2.4938,
507
+ "step": 830
508
+ },
509
+ {
510
+ "epoch": 8.24,
511
+ "learning_rate": 0.0003664,
512
+ "loss": 2.4372,
513
+ "step": 840
514
+ },
515
+ {
516
+ "epoch": 8.33,
517
+ "learning_rate": 0.000366,
518
+ "loss": 2.4567,
519
+ "step": 850
520
+ },
521
+ {
522
+ "epoch": 8.43,
523
+ "learning_rate": 0.00036560000000000005,
524
+ "loss": 2.4108,
525
+ "step": 860
526
+ },
527
+ {
528
+ "epoch": 8.53,
529
+ "learning_rate": 0.00036520000000000004,
530
+ "loss": 2.3993,
531
+ "step": 870
532
+ },
533
+ {
534
+ "epoch": 8.63,
535
+ "learning_rate": 0.00036480000000000003,
536
+ "loss": 2.3739,
537
+ "step": 880
538
+ },
539
+ {
540
+ "epoch": 8.73,
541
+ "learning_rate": 0.0003644,
542
+ "loss": 2.391,
543
+ "step": 890
544
+ },
545
+ {
546
+ "epoch": 8.82,
547
+ "learning_rate": 0.000364,
548
+ "loss": 2.38,
549
+ "step": 900
550
+ },
551
+ {
552
+ "epoch": 8.92,
553
+ "learning_rate": 0.00036360000000000006,
554
+ "loss": 2.3257,
555
+ "step": 910
556
+ },
557
+ {
558
+ "epoch": 9.02,
559
+ "learning_rate": 0.00036320000000000005,
560
+ "loss": 2.1956,
561
+ "step": 920
562
+ },
563
+ {
564
+ "epoch": 9.12,
565
+ "learning_rate": 0.00036280000000000004,
566
+ "loss": 2.2944,
567
+ "step": 930
568
+ },
569
+ {
570
+ "epoch": 9.22,
571
+ "learning_rate": 0.0003624,
572
+ "loss": 2.2163,
573
+ "step": 940
574
+ },
575
+ {
576
+ "epoch": 9.31,
577
+ "learning_rate": 0.000362,
578
+ "loss": 2.2641,
579
+ "step": 950
580
+ },
581
+ {
582
+ "epoch": 9.41,
583
+ "learning_rate": 0.0003616,
584
+ "loss": 2.2035,
585
+ "step": 960
586
+ },
587
+ {
588
+ "epoch": 9.51,
589
+ "learning_rate": 0.00036120000000000005,
590
+ "loss": 2.188,
591
+ "step": 970
592
+ },
593
+ {
594
+ "epoch": 9.61,
595
+ "learning_rate": 0.00036080000000000004,
596
+ "loss": 2.197,
597
+ "step": 980
598
+ },
599
+ {
600
+ "epoch": 9.71,
601
+ "learning_rate": 0.00036040000000000003,
602
+ "loss": 2.18,
603
+ "step": 990
604
+ },
605
+ {
606
+ "epoch": 9.8,
607
+ "learning_rate": 0.00036,
608
+ "loss": 2.1994,
609
+ "step": 1000
610
+ },
611
+ {
612
+ "epoch": 9.9,
613
+ "learning_rate": 0.0003596,
614
+ "loss": 2.1538,
615
+ "step": 1010
616
+ },
617
+ {
618
+ "epoch": 10.0,
619
+ "learning_rate": 0.0003592,
620
+ "loss": 2.0495,
621
+ "step": 1020
622
+ },
623
+ {
624
+ "epoch": 10.1,
625
+ "learning_rate": 0.00035880000000000005,
626
+ "loss": 2.0501,
627
+ "step": 1030
628
+ },
629
+ {
630
+ "epoch": 10.2,
631
+ "learning_rate": 0.00035840000000000004,
632
+ "loss": 2.0302,
633
+ "step": 1040
634
+ },
635
+ {
636
+ "epoch": 10.29,
637
+ "learning_rate": 0.00035800000000000003,
638
+ "loss": 2.0996,
639
+ "step": 1050
640
+ },
641
+ {
642
+ "epoch": 10.39,
643
+ "learning_rate": 0.0003576,
644
+ "loss": 2.0369,
645
+ "step": 1060
646
+ },
647
+ {
648
+ "epoch": 10.49,
649
+ "learning_rate": 0.0003572,
650
+ "loss": 1.9996,
651
+ "step": 1070
652
+ },
653
+ {
654
+ "epoch": 10.59,
655
+ "learning_rate": 0.0003568,
656
+ "loss": 2.0254,
657
+ "step": 1080
658
+ },
659
+ {
660
+ "epoch": 10.69,
661
+ "learning_rate": 0.00035640000000000004,
662
+ "loss": 2.0004,
663
+ "step": 1090
664
+ },
665
+ {
666
+ "epoch": 10.78,
667
+ "learning_rate": 0.00035600000000000003,
668
+ "loss": 2.0154,
669
+ "step": 1100
670
+ },
671
+ {
672
+ "epoch": 10.88,
673
+ "learning_rate": 0.0003556,
674
+ "loss": 2.0014,
675
+ "step": 1110
676
+ },
677
+ {
678
+ "epoch": 10.98,
679
+ "learning_rate": 0.00035524,
680
+ "loss": 1.9377,
681
+ "step": 1120
682
+ },
683
+ {
684
+ "epoch": 11.08,
685
+ "learning_rate": 0.00035484000000000004,
686
+ "loss": 1.8296,
687
+ "step": 1130
688
+ },
689
+ {
690
+ "epoch": 11.18,
691
+ "learning_rate": 0.00035444000000000003,
692
+ "loss": 1.9002,
693
+ "step": 1140
694
+ },
695
+ {
696
+ "epoch": 11.27,
697
+ "learning_rate": 0.00035404,
698
+ "loss": 1.9336,
699
+ "step": 1150
700
+ },
701
+ {
702
+ "epoch": 11.37,
703
+ "learning_rate": 0.00035364,
704
+ "loss": 1.9041,
705
+ "step": 1160
706
+ },
707
+ {
708
+ "epoch": 11.47,
709
+ "learning_rate": 0.00035324,
710
+ "loss": 1.8324,
711
+ "step": 1170
712
+ },
713
+ {
714
+ "epoch": 11.57,
715
+ "learning_rate": 0.00035284,
716
+ "loss": 1.8663,
717
+ "step": 1180
718
+ },
719
+ {
720
+ "epoch": 11.67,
721
+ "learning_rate": 0.00035244000000000003,
722
+ "loss": 1.8358,
723
+ "step": 1190
724
+ },
725
+ {
726
+ "epoch": 11.76,
727
+ "learning_rate": 0.00035204,
728
+ "loss": 1.8586,
729
+ "step": 1200
730
+ },
731
+ {
732
+ "epoch": 11.86,
733
+ "learning_rate": 0.00035164,
734
+ "loss": 1.8452,
735
+ "step": 1210
736
+ },
737
+ {
738
+ "epoch": 11.96,
739
+ "learning_rate": 0.00035124,
740
+ "loss": 1.7957,
741
+ "step": 1220
742
+ },
743
+ {
744
+ "epoch": 12.06,
745
+ "learning_rate": 0.00035084,
746
+ "loss": 1.6603,
747
+ "step": 1230
748
+ },
749
+ {
750
+ "epoch": 12.16,
751
+ "learning_rate": 0.00035044000000000004,
752
+ "loss": 1.7903,
753
+ "step": 1240
754
+ },
755
+ {
756
+ "epoch": 12.25,
757
+ "learning_rate": 0.00035004000000000003,
758
+ "loss": 1.7574,
759
+ "step": 1250
760
+ },
761
+ {
762
+ "epoch": 12.35,
763
+ "learning_rate": 0.00034964,
764
+ "loss": 1.7823,
765
+ "step": 1260
766
+ },
767
+ {
768
+ "epoch": 12.45,
769
+ "learning_rate": 0.00034924,
770
+ "loss": 1.7038,
771
+ "step": 1270
772
+ },
773
+ {
774
+ "epoch": 12.55,
775
+ "learning_rate": 0.00034884,
776
+ "loss": 1.7186,
777
+ "step": 1280
778
+ },
779
+ {
780
+ "epoch": 12.65,
781
+ "learning_rate": 0.00034844,
782
+ "loss": 1.6948,
783
+ "step": 1290
784
+ },
785
+ {
786
+ "epoch": 12.75,
787
+ "learning_rate": 0.00034804000000000004,
788
+ "loss": 1.7347,
789
+ "step": 1300
790
+ },
791
+ {
792
+ "epoch": 12.84,
793
+ "learning_rate": 0.00034764,
794
+ "loss": 1.7304,
795
+ "step": 1310
796
+ },
797
+ {
798
+ "epoch": 12.94,
799
+ "learning_rate": 0.00034724,
800
+ "loss": 1.6862,
801
+ "step": 1320
802
+ },
803
+ {
804
+ "epoch": 13.04,
805
+ "learning_rate": 0.00034684,
806
+ "loss": 1.4857,
807
+ "step": 1330
808
+ },
809
+ {
810
+ "epoch": 13.14,
811
+ "learning_rate": 0.00034644,
812
+ "loss": 1.6981,
813
+ "step": 1340
814
+ },
815
+ {
816
+ "epoch": 13.24,
817
+ "learning_rate": 0.00034604,
818
+ "loss": 1.5926,
819
+ "step": 1350
820
+ },
821
+ {
822
+ "epoch": 13.33,
823
+ "learning_rate": 0.00034564000000000003,
824
+ "loss": 1.6545,
825
+ "step": 1360
826
+ },
827
+ {
828
+ "epoch": 13.43,
829
+ "learning_rate": 0.00034524,
830
+ "loss": 1.5918,
831
+ "step": 1370
832
+ },
833
+ {
834
+ "epoch": 13.53,
835
+ "learning_rate": 0.00034484,
836
+ "loss": 1.5743,
837
+ "step": 1380
838
+ },
839
+ {
840
+ "epoch": 13.63,
841
+ "learning_rate": 0.00034444,
842
+ "loss": 1.5867,
843
+ "step": 1390
844
+ },
845
+ {
846
+ "epoch": 13.73,
847
+ "learning_rate": 0.00034404,
848
+ "loss": 1.6042,
849
+ "step": 1400
850
+ },
851
+ {
852
+ "epoch": 13.82,
853
+ "learning_rate": 0.00034364,
854
+ "loss": 1.6308,
855
+ "step": 1410
856
+ },
857
+ {
858
+ "epoch": 13.92,
859
+ "learning_rate": 0.00034324000000000003,
860
+ "loss": 1.5813,
861
+ "step": 1420
862
+ },
863
+ {
864
+ "epoch": 14.02,
865
+ "learning_rate": 0.00034284,
866
+ "loss": 1.364,
867
+ "step": 1430
868
+ },
869
+ {
870
+ "epoch": 14.12,
871
+ "learning_rate": 0.00034244,
872
+ "loss": 1.5849,
873
+ "step": 1440
874
+ },
875
+ {
876
+ "epoch": 14.22,
877
+ "learning_rate": 0.00034204,
878
+ "loss": 1.4957,
879
+ "step": 1450
880
+ },
881
+ {
882
+ "epoch": 14.31,
883
+ "learning_rate": 0.00034164,
884
+ "loss": 1.5312,
885
+ "step": 1460
886
+ },
887
+ {
888
+ "epoch": 14.41,
889
+ "learning_rate": 0.00034124,
890
+ "loss": 1.4995,
891
+ "step": 1470
892
+ },
893
+ {
894
+ "epoch": 14.51,
895
+ "learning_rate": 0.00034084,
896
+ "loss": 1.4501,
897
+ "step": 1480
898
+ },
899
+ {
900
+ "epoch": 14.61,
901
+ "learning_rate": 0.00034044,
902
+ "loss": 1.4721,
903
+ "step": 1490
904
+ },
905
+ {
906
+ "epoch": 14.71,
907
+ "learning_rate": 0.00034004,
908
+ "loss": 1.4792,
909
+ "step": 1500
910
+ },
911
+ {
912
+ "epoch": 14.8,
913
+ "learning_rate": 0.00033964,
914
+ "loss": 1.513,
915
+ "step": 1510
916
+ },
917
+ {
918
+ "epoch": 14.9,
919
+ "learning_rate": 0.00033924,
920
+ "loss": 1.5028,
921
+ "step": 1520
922
+ },
923
+ {
924
+ "epoch": 15.0,
925
+ "learning_rate": 0.00033884000000000003,
926
+ "loss": 1.3511,
927
+ "step": 1530
928
+ },
929
+ {
930
+ "epoch": 15.1,
931
+ "learning_rate": 0.00033844,
932
+ "loss": 1.4152,
933
+ "step": 1540
934
+ },
935
+ {
936
+ "epoch": 15.2,
937
+ "learning_rate": 0.00033804,
938
+ "loss": 1.4216,
939
+ "step": 1550
940
+ },
941
+ {
942
+ "epoch": 15.29,
943
+ "learning_rate": 0.00033764,
944
+ "loss": 1.4177,
945
+ "step": 1560
946
+ },
947
+ {
948
+ "epoch": 15.39,
949
+ "learning_rate": 0.00033724,
950
+ "loss": 1.4074,
951
+ "step": 1570
952
+ },
953
+ {
954
+ "epoch": 15.49,
955
+ "learning_rate": 0.00033684,
956
+ "loss": 1.3532,
957
+ "step": 1580
958
+ },
959
+ {
960
+ "epoch": 15.59,
961
+ "learning_rate": 0.00033644,
962
+ "loss": 1.3525,
963
+ "step": 1590
964
+ },
965
+ {
966
+ "epoch": 15.69,
967
+ "learning_rate": 0.00033604,
968
+ "loss": 1.3755,
969
+ "step": 1600
970
+ },
971
+ {
972
+ "epoch": 15.78,
973
+ "learning_rate": 0.00033564,
974
+ "loss": 1.3989,
975
+ "step": 1610
976
+ },
977
+ {
978
+ "epoch": 15.88,
979
+ "learning_rate": 0.00033524,
980
+ "loss": 1.4012,
981
+ "step": 1620
982
+ },
983
+ {
984
+ "epoch": 15.98,
985
+ "learning_rate": 0.00033484,
986
+ "loss": 1.3386,
987
+ "step": 1630
988
+ },
989
+ {
990
+ "epoch": 16.08,
991
+ "learning_rate": 0.00033444,
992
+ "loss": 1.2476,
993
+ "step": 1640
994
+ },
995
+ {
996
+ "epoch": 16.18,
997
+ "learning_rate": 0.00033404,
998
+ "loss": 1.3435,
999
+ "step": 1650
1000
+ },
1001
+ {
1002
+ "epoch": 16.27,
1003
+ "learning_rate": 0.00033364,
1004
+ "loss": 1.3131,
1005
+ "step": 1660
1006
+ },
1007
+ {
1008
+ "epoch": 16.37,
1009
+ "learning_rate": 0.00033324,
1010
+ "loss": 1.3099,
1011
+ "step": 1670
1012
+ },
1013
+ {
1014
+ "epoch": 16.47,
1015
+ "learning_rate": 0.00033284,
1016
+ "loss": 1.2693,
1017
+ "step": 1680
1018
+ },
1019
+ {
1020
+ "epoch": 16.57,
1021
+ "learning_rate": 0.00033244,
1022
+ "loss": 1.2649,
1023
+ "step": 1690
1024
+ },
1025
+ {
1026
+ "epoch": 16.67,
1027
+ "learning_rate": 0.00033203999999999997,
1028
+ "loss": 1.2777,
1029
+ "step": 1700
1030
+ },
1031
+ {
1032
+ "epoch": 16.76,
1033
+ "learning_rate": 0.00033164,
1034
+ "loss": 1.2889,
1035
+ "step": 1710
1036
+ },
1037
+ {
1038
+ "epoch": 16.86,
1039
+ "learning_rate": 0.00033124,
1040
+ "loss": 1.2729,
1041
+ "step": 1720
1042
+ },
1043
+ {
1044
+ "epoch": 16.96,
1045
+ "learning_rate": 0.00033084,
1046
+ "loss": 1.2529,
1047
+ "step": 1730
1048
+ },
1049
+ {
1050
+ "epoch": 17.06,
1051
+ "learning_rate": 0.00033044,
1052
+ "loss": 1.1566,
1053
+ "step": 1740
1054
+ },
1055
+ {
1056
+ "epoch": 17.16,
1057
+ "learning_rate": 0.00033004,
1058
+ "loss": 1.2668,
1059
+ "step": 1750
1060
+ },
1061
+ {
1062
+ "epoch": 17.25,
1063
+ "learning_rate": 0.00032964,
1064
+ "loss": 1.2052,
1065
+ "step": 1760
1066
+ },
1067
+ {
1068
+ "epoch": 17.35,
1069
+ "learning_rate": 0.00032924,
1070
+ "loss": 1.2159,
1071
+ "step": 1770
1072
+ },
1073
+ {
1074
+ "epoch": 17.45,
1075
+ "learning_rate": 0.00032884000000000006,
1076
+ "loss": 1.2003,
1077
+ "step": 1780
1078
+ },
1079
+ {
1080
+ "epoch": 17.55,
1081
+ "learning_rate": 0.00032844000000000005,
1082
+ "loss": 1.1836,
1083
+ "step": 1790
1084
+ },
1085
+ {
1086
+ "epoch": 17.65,
1087
+ "learning_rate": 0.00032804000000000004,
1088
+ "loss": 1.1857,
1089
+ "step": 1800
1090
+ },
1091
+ {
1092
+ "epoch": 17.75,
1093
+ "learning_rate": 0.00032764000000000003,
1094
+ "loss": 1.2012,
1095
+ "step": 1810
1096
+ },
1097
+ {
1098
+ "epoch": 17.84,
1099
+ "learning_rate": 0.00032724,
1100
+ "loss": 1.1907,
1101
+ "step": 1820
1102
+ },
1103
+ {
1104
+ "epoch": 17.94,
1105
+ "learning_rate": 0.00032684,
1106
+ "loss": 1.1723,
1107
+ "step": 1830
1108
+ },
1109
+ {
1110
+ "epoch": 18.04,
1111
+ "learning_rate": 0.00032644000000000005,
1112
+ "loss": 1.0299,
1113
+ "step": 1840
1114
+ },
1115
+ {
1116
+ "epoch": 18.14,
1117
+ "learning_rate": 0.00032604000000000004,
1118
+ "loss": 1.1996,
1119
+ "step": 1850
1120
+ },
1121
+ {
1122
+ "epoch": 18.24,
1123
+ "learning_rate": 0.00032564000000000003,
1124
+ "loss": 1.0919,
1125
+ "step": 1860
1126
+ },
1127
+ {
1128
+ "epoch": 18.33,
1129
+ "learning_rate": 0.00032524,
1130
+ "loss": 1.1291,
1131
+ "step": 1870
1132
+ },
1133
+ {
1134
+ "epoch": 18.43,
1135
+ "learning_rate": 0.00032484,
1136
+ "loss": 1.1343,
1137
+ "step": 1880
1138
+ },
1139
+ {
1140
+ "epoch": 18.53,
1141
+ "learning_rate": 0.00032444000000000006,
1142
+ "loss": 1.0965,
1143
+ "step": 1890
1144
+ },
1145
+ {
1146
+ "epoch": 18.63,
1147
+ "learning_rate": 0.00032404000000000005,
1148
+ "loss": 1.1149,
1149
+ "step": 1900
1150
+ },
1151
+ {
1152
+ "epoch": 18.73,
1153
+ "learning_rate": 0.00032364000000000004,
1154
+ "loss": 1.132,
1155
+ "step": 1910
1156
+ },
1157
+ {
1158
+ "epoch": 18.82,
1159
+ "learning_rate": 0.00032324000000000003,
1160
+ "loss": 1.1218,
1161
+ "step": 1920
1162
+ },
1163
+ {
1164
+ "epoch": 18.92,
1165
+ "learning_rate": 0.00032284,
1166
+ "loss": 1.0928,
1167
+ "step": 1930
1168
+ },
1169
+ {
1170
+ "epoch": 19.02,
1171
+ "learning_rate": 0.00032244,
1172
+ "loss": 0.9377,
1173
+ "step": 1940
1174
+ },
1175
+ {
1176
+ "epoch": 19.12,
1177
+ "learning_rate": 0.00032204000000000005,
1178
+ "loss": 1.1132,
1179
+ "step": 1950
1180
+ },
1181
+ {
1182
+ "epoch": 19.22,
1183
+ "learning_rate": 0.00032164000000000004,
1184
+ "loss": 1.0275,
1185
+ "step": 1960
1186
+ },
1187
+ {
1188
+ "epoch": 19.31,
1189
+ "learning_rate": 0.00032124000000000003,
1190
+ "loss": 1.0312,
1191
+ "step": 1970
1192
+ },
1193
+ {
1194
+ "epoch": 19.41,
1195
+ "learning_rate": 0.00032084,
1196
+ "loss": 1.0248,
1197
+ "step": 1980
1198
+ },
1199
+ {
1200
+ "epoch": 19.51,
1201
+ "learning_rate": 0.00032044,
1202
+ "loss": 1.0063,
1203
+ "step": 1990
1204
+ },
1205
+ {
1206
+ "epoch": 19.61,
1207
+ "learning_rate": 0.00032004,
1208
+ "loss": 1.0438,
1209
+ "step": 2000
1210
+ }
1211
+ ],
1212
+ "logging_steps": 10,
1213
+ "max_steps": 10000,
1214
+ "num_train_epochs": 99,
1215
+ "save_steps": 1000,
1216
+ "total_flos": 1.33620861763584e+17,
1217
+ "trial_name": null,
1218
+ "trial_params": null
1219
+ }
checkpoint-2000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:36b5d44c73b8e982d1bd71774d1ff8b2323fbcd973d1b01903f213cf13c78cc7
3
+ size 5880