PEFT
English
huaweilin commited on
Commit
584430e
1 Parent(s): 50ef6aa
README.md CHANGED
@@ -1,3 +1,21 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - quant_method: bitsandbytes
9
+ - load_in_8bit: False
10
+ - load_in_4bit: True
11
+ - llm_int8_threshold: 6.0
12
+ - llm_int8_skip_modules: None
13
+ - llm_int8_enable_fp32_cpu_offload: False
14
+ - llm_int8_has_fp16_weight: False
15
+ - bnb_4bit_quant_type: nf4
16
+ - bnb_4bit_use_double_quant: True
17
+ - bnb_4bit_compute_dtype: float16
18
+ ### Framework versions
19
+
20
+
21
+ - PEFT 0.5.0.dev0
adapter_config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
4
+ "bias": "none",
5
+ "fan_in_fan_out": false,
6
+ "inference_mode": true,
7
+ "init_lora_weights": true,
8
+ "layers_pattern": null,
9
+ "layers_to_transform": null,
10
+ "lora_alpha": 1024,
11
+ "lora_dropout": 0.05,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 512,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "v_proj",
19
+ "o_proj",
20
+ "k_proj"
21
+ ],
22
+ "task_type": "CAUSAL_LM"
23
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c26c5ed712cd4680005313dcd1a59b5b2434676ef858737b8032a45a24325646
3
+ size 2147576970
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 32000
3
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91d8f66c82c9bcec4d768dfc3cbf89a024f1c2edeeafe0a47bc85c2f0c47054b
3
+ size 4295183910
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bcd37159b6ea83f170d8f8a6452d703884473aa8b9073ab29462b1d75b66e9cd
3
+ size 14512
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d28209c71f32d16acfa3d8352a57a93876b8372f101c4aec0799c67caa8abf31
3
+ size 14512
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75a7f63d45dd78b4fe8be018a152b447fe3ed04c3bbaa7448ede985142821726
3
+ size 1064
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": "[PAD]",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "legacy": false,
22
+ "model_max_length": 512,
23
+ "pad_token": null,
24
+ "padding_side": "right",
25
+ "sp_model_kwargs": {},
26
+ "spaces_between_special_tokens": false,
27
+ "tokenizer_class": "LlamaTokenizer",
28
+ "unk_token": {
29
+ "__type": "AddedToken",
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false
35
+ },
36
+ "use_default_system_prompt": true
37
+ }
trainer_state.json ADDED
@@ -0,0 +1,1687 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.995790064552343,
5
+ "eval_steps": 500,
6
+ "global_step": 2225,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "learning_rate": 1.3333333333333334e-06,
14
+ "loss": 1.5563,
15
+ "step": 8
16
+ },
17
+ {
18
+ "epoch": 0.04,
19
+ "learning_rate": 2.666666666666667e-06,
20
+ "loss": 1.4423,
21
+ "step": 16
22
+ },
23
+ {
24
+ "epoch": 0.05,
25
+ "learning_rate": 4.000000000000001e-06,
26
+ "loss": 1.3027,
27
+ "step": 24
28
+ },
29
+ {
30
+ "epoch": 0.07,
31
+ "learning_rate": 5.333333333333334e-06,
32
+ "loss": 1.2535,
33
+ "step": 32
34
+ },
35
+ {
36
+ "epoch": 0.09,
37
+ "learning_rate": 6.666666666666667e-06,
38
+ "loss": 1.2352,
39
+ "step": 40
40
+ },
41
+ {
42
+ "epoch": 0.11,
43
+ "learning_rate": 8.000000000000001e-06,
44
+ "loss": 1.2077,
45
+ "step": 48
46
+ },
47
+ {
48
+ "epoch": 0.13,
49
+ "learning_rate": 9.333333333333334e-06,
50
+ "loss": 1.1871,
51
+ "step": 56
52
+ },
53
+ {
54
+ "epoch": 0.14,
55
+ "learning_rate": 1.0666666666666667e-05,
56
+ "loss": 1.1708,
57
+ "step": 64
58
+ },
59
+ {
60
+ "epoch": 0.16,
61
+ "learning_rate": 1.2e-05,
62
+ "loss": 1.1666,
63
+ "step": 72
64
+ },
65
+ {
66
+ "epoch": 0.18,
67
+ "learning_rate": 1.3333333333333333e-05,
68
+ "loss": 1.1394,
69
+ "step": 80
70
+ },
71
+ {
72
+ "epoch": 0.2,
73
+ "learning_rate": 1.4666666666666668e-05,
74
+ "loss": 1.1644,
75
+ "step": 88
76
+ },
77
+ {
78
+ "epoch": 0.22,
79
+ "learning_rate": 1.6000000000000003e-05,
80
+ "loss": 1.1521,
81
+ "step": 96
82
+ },
83
+ {
84
+ "epoch": 0.23,
85
+ "learning_rate": 1.7333333333333336e-05,
86
+ "loss": 1.142,
87
+ "step": 104
88
+ },
89
+ {
90
+ "epoch": 0.25,
91
+ "learning_rate": 1.866666666666667e-05,
92
+ "loss": 1.1314,
93
+ "step": 112
94
+ },
95
+ {
96
+ "epoch": 0.27,
97
+ "learning_rate": 2e-05,
98
+ "loss": 1.1495,
99
+ "step": 120
100
+ },
101
+ {
102
+ "epoch": 0.29,
103
+ "learning_rate": 2.1333333333333335e-05,
104
+ "loss": 1.1468,
105
+ "step": 128
106
+ },
107
+ {
108
+ "epoch": 0.31,
109
+ "learning_rate": 2.2666666666666668e-05,
110
+ "loss": 1.1457,
111
+ "step": 136
112
+ },
113
+ {
114
+ "epoch": 0.32,
115
+ "learning_rate": 2.4e-05,
116
+ "loss": 1.115,
117
+ "step": 144
118
+ },
119
+ {
120
+ "epoch": 0.34,
121
+ "learning_rate": 2.5333333333333337e-05,
122
+ "loss": 1.1279,
123
+ "step": 152
124
+ },
125
+ {
126
+ "epoch": 0.36,
127
+ "learning_rate": 2.6666666666666667e-05,
128
+ "loss": 1.1145,
129
+ "step": 160
130
+ },
131
+ {
132
+ "epoch": 0.38,
133
+ "learning_rate": 2.8000000000000003e-05,
134
+ "loss": 1.1209,
135
+ "step": 168
136
+ },
137
+ {
138
+ "epoch": 0.4,
139
+ "learning_rate": 2.9333333333333336e-05,
140
+ "loss": 1.1295,
141
+ "step": 176
142
+ },
143
+ {
144
+ "epoch": 0.41,
145
+ "learning_rate": 3.066666666666667e-05,
146
+ "loss": 1.1249,
147
+ "step": 184
148
+ },
149
+ {
150
+ "epoch": 0.43,
151
+ "learning_rate": 3.2000000000000005e-05,
152
+ "loss": 1.1294,
153
+ "step": 192
154
+ },
155
+ {
156
+ "epoch": 0.45,
157
+ "learning_rate": 3.3333333333333335e-05,
158
+ "loss": 1.103,
159
+ "step": 200
160
+ },
161
+ {
162
+ "epoch": 0.47,
163
+ "learning_rate": 3.466666666666667e-05,
164
+ "loss": 1.1241,
165
+ "step": 208
166
+ },
167
+ {
168
+ "epoch": 0.48,
169
+ "learning_rate": 3.6e-05,
170
+ "loss": 1.1306,
171
+ "step": 216
172
+ },
173
+ {
174
+ "epoch": 0.5,
175
+ "learning_rate": 3.733333333333334e-05,
176
+ "loss": 1.1096,
177
+ "step": 224
178
+ },
179
+ {
180
+ "epoch": 0.52,
181
+ "learning_rate": 3.866666666666667e-05,
182
+ "loss": 1.1242,
183
+ "step": 232
184
+ },
185
+ {
186
+ "epoch": 0.54,
187
+ "learning_rate": 4e-05,
188
+ "loss": 1.1109,
189
+ "step": 240
190
+ },
191
+ {
192
+ "epoch": 0.56,
193
+ "learning_rate": 4.133333333333333e-05,
194
+ "loss": 1.1091,
195
+ "step": 248
196
+ },
197
+ {
198
+ "epoch": 0.57,
199
+ "learning_rate": 4.266666666666667e-05,
200
+ "loss": 1.1304,
201
+ "step": 256
202
+ },
203
+ {
204
+ "epoch": 0.59,
205
+ "learning_rate": 4.4000000000000006e-05,
206
+ "loss": 1.1149,
207
+ "step": 264
208
+ },
209
+ {
210
+ "epoch": 0.61,
211
+ "learning_rate": 4.5333333333333335e-05,
212
+ "loss": 1.106,
213
+ "step": 272
214
+ },
215
+ {
216
+ "epoch": 0.63,
217
+ "learning_rate": 4.666666666666667e-05,
218
+ "loss": 1.1139,
219
+ "step": 280
220
+ },
221
+ {
222
+ "epoch": 0.65,
223
+ "learning_rate": 4.8e-05,
224
+ "loss": 1.1174,
225
+ "step": 288
226
+ },
227
+ {
228
+ "epoch": 0.66,
229
+ "learning_rate": 4.933333333333334e-05,
230
+ "loss": 1.0849,
231
+ "step": 296
232
+ },
233
+ {
234
+ "epoch": 0.68,
235
+ "learning_rate": 5e-05,
236
+ "loss": 1.1107,
237
+ "step": 304
238
+ },
239
+ {
240
+ "epoch": 0.7,
241
+ "learning_rate": 5e-05,
242
+ "loss": 1.0828,
243
+ "step": 312
244
+ },
245
+ {
246
+ "epoch": 0.72,
247
+ "learning_rate": 5e-05,
248
+ "loss": 1.1032,
249
+ "step": 320
250
+ },
251
+ {
252
+ "epoch": 0.74,
253
+ "learning_rate": 5e-05,
254
+ "loss": 1.15,
255
+ "step": 328
256
+ },
257
+ {
258
+ "epoch": 0.75,
259
+ "learning_rate": 5e-05,
260
+ "loss": 1.1088,
261
+ "step": 336
262
+ },
263
+ {
264
+ "epoch": 0.77,
265
+ "learning_rate": 5e-05,
266
+ "loss": 1.1008,
267
+ "step": 344
268
+ },
269
+ {
270
+ "epoch": 0.79,
271
+ "learning_rate": 5e-05,
272
+ "loss": 1.1174,
273
+ "step": 352
274
+ },
275
+ {
276
+ "epoch": 0.81,
277
+ "learning_rate": 5e-05,
278
+ "loss": 1.1043,
279
+ "step": 360
280
+ },
281
+ {
282
+ "epoch": 0.83,
283
+ "learning_rate": 5e-05,
284
+ "loss": 1.1196,
285
+ "step": 368
286
+ },
287
+ {
288
+ "epoch": 0.84,
289
+ "learning_rate": 5e-05,
290
+ "loss": 1.1339,
291
+ "step": 376
292
+ },
293
+ {
294
+ "epoch": 0.86,
295
+ "learning_rate": 5e-05,
296
+ "loss": 1.1186,
297
+ "step": 384
298
+ },
299
+ {
300
+ "epoch": 0.88,
301
+ "learning_rate": 5e-05,
302
+ "loss": 1.0837,
303
+ "step": 392
304
+ },
305
+ {
306
+ "epoch": 0.9,
307
+ "learning_rate": 5e-05,
308
+ "loss": 1.1105,
309
+ "step": 400
310
+ },
311
+ {
312
+ "epoch": 0.92,
313
+ "learning_rate": 5e-05,
314
+ "loss": 1.1249,
315
+ "step": 408
316
+ },
317
+ {
318
+ "epoch": 0.93,
319
+ "learning_rate": 5e-05,
320
+ "loss": 1.0846,
321
+ "step": 416
322
+ },
323
+ {
324
+ "epoch": 0.95,
325
+ "learning_rate": 5e-05,
326
+ "loss": 1.0925,
327
+ "step": 424
328
+ },
329
+ {
330
+ "epoch": 0.97,
331
+ "learning_rate": 5e-05,
332
+ "loss": 1.0917,
333
+ "step": 432
334
+ },
335
+ {
336
+ "epoch": 0.99,
337
+ "learning_rate": 5e-05,
338
+ "loss": 1.1177,
339
+ "step": 440
340
+ },
341
+ {
342
+ "epoch": 1.01,
343
+ "learning_rate": 5e-05,
344
+ "loss": 1.0964,
345
+ "step": 448
346
+ },
347
+ {
348
+ "epoch": 1.02,
349
+ "learning_rate": 5e-05,
350
+ "loss": 1.0494,
351
+ "step": 456
352
+ },
353
+ {
354
+ "epoch": 1.04,
355
+ "learning_rate": 5e-05,
356
+ "loss": 1.0444,
357
+ "step": 464
358
+ },
359
+ {
360
+ "epoch": 1.06,
361
+ "learning_rate": 5e-05,
362
+ "loss": 1.043,
363
+ "step": 472
364
+ },
365
+ {
366
+ "epoch": 1.08,
367
+ "learning_rate": 5e-05,
368
+ "loss": 1.0303,
369
+ "step": 480
370
+ },
371
+ {
372
+ "epoch": 1.1,
373
+ "learning_rate": 5e-05,
374
+ "loss": 1.0862,
375
+ "step": 488
376
+ },
377
+ {
378
+ "epoch": 1.11,
379
+ "learning_rate": 5e-05,
380
+ "loss": 1.03,
381
+ "step": 496
382
+ },
383
+ {
384
+ "epoch": 1.13,
385
+ "learning_rate": 5e-05,
386
+ "loss": 1.0122,
387
+ "step": 504
388
+ },
389
+ {
390
+ "epoch": 1.15,
391
+ "learning_rate": 5e-05,
392
+ "loss": 1.0202,
393
+ "step": 512
394
+ },
395
+ {
396
+ "epoch": 1.17,
397
+ "learning_rate": 5e-05,
398
+ "loss": 1.0331,
399
+ "step": 520
400
+ },
401
+ {
402
+ "epoch": 1.19,
403
+ "learning_rate": 5e-05,
404
+ "loss": 1.0644,
405
+ "step": 528
406
+ },
407
+ {
408
+ "epoch": 1.2,
409
+ "learning_rate": 5e-05,
410
+ "loss": 1.0172,
411
+ "step": 536
412
+ },
413
+ {
414
+ "epoch": 1.22,
415
+ "learning_rate": 5e-05,
416
+ "loss": 1.0436,
417
+ "step": 544
418
+ },
419
+ {
420
+ "epoch": 1.24,
421
+ "learning_rate": 5e-05,
422
+ "loss": 1.0495,
423
+ "step": 552
424
+ },
425
+ {
426
+ "epoch": 1.26,
427
+ "learning_rate": 5e-05,
428
+ "loss": 1.0474,
429
+ "step": 560
430
+ },
431
+ {
432
+ "epoch": 1.28,
433
+ "learning_rate": 5e-05,
434
+ "loss": 1.0436,
435
+ "step": 568
436
+ },
437
+ {
438
+ "epoch": 1.29,
439
+ "learning_rate": 5e-05,
440
+ "loss": 1.0226,
441
+ "step": 576
442
+ },
443
+ {
444
+ "epoch": 1.31,
445
+ "learning_rate": 5e-05,
446
+ "loss": 1.0431,
447
+ "step": 584
448
+ },
449
+ {
450
+ "epoch": 1.33,
451
+ "learning_rate": 5e-05,
452
+ "loss": 1.0407,
453
+ "step": 592
454
+ },
455
+ {
456
+ "epoch": 1.35,
457
+ "learning_rate": 5e-05,
458
+ "loss": 1.033,
459
+ "step": 600
460
+ },
461
+ {
462
+ "epoch": 1.37,
463
+ "learning_rate": 5e-05,
464
+ "loss": 1.0202,
465
+ "step": 608
466
+ },
467
+ {
468
+ "epoch": 1.38,
469
+ "learning_rate": 5e-05,
470
+ "loss": 1.0791,
471
+ "step": 616
472
+ },
473
+ {
474
+ "epoch": 1.4,
475
+ "learning_rate": 5e-05,
476
+ "loss": 1.0281,
477
+ "step": 624
478
+ },
479
+ {
480
+ "epoch": 1.42,
481
+ "learning_rate": 5e-05,
482
+ "loss": 1.0793,
483
+ "step": 632
484
+ },
485
+ {
486
+ "epoch": 1.44,
487
+ "learning_rate": 5e-05,
488
+ "loss": 1.0557,
489
+ "step": 640
490
+ },
491
+ {
492
+ "epoch": 1.45,
493
+ "learning_rate": 5e-05,
494
+ "loss": 1.0413,
495
+ "step": 648
496
+ },
497
+ {
498
+ "epoch": 1.47,
499
+ "learning_rate": 5e-05,
500
+ "loss": 1.0679,
501
+ "step": 656
502
+ },
503
+ {
504
+ "epoch": 1.49,
505
+ "learning_rate": 5e-05,
506
+ "loss": 1.0334,
507
+ "step": 664
508
+ },
509
+ {
510
+ "epoch": 1.51,
511
+ "learning_rate": 5e-05,
512
+ "loss": 1.0163,
513
+ "step": 672
514
+ },
515
+ {
516
+ "epoch": 1.53,
517
+ "learning_rate": 5e-05,
518
+ "loss": 1.0454,
519
+ "step": 680
520
+ },
521
+ {
522
+ "epoch": 1.54,
523
+ "learning_rate": 5e-05,
524
+ "loss": 1.0489,
525
+ "step": 688
526
+ },
527
+ {
528
+ "epoch": 1.56,
529
+ "learning_rate": 5e-05,
530
+ "loss": 1.0437,
531
+ "step": 696
532
+ },
533
+ {
534
+ "epoch": 1.58,
535
+ "learning_rate": 5e-05,
536
+ "loss": 1.0278,
537
+ "step": 704
538
+ },
539
+ {
540
+ "epoch": 1.6,
541
+ "learning_rate": 5e-05,
542
+ "loss": 1.0165,
543
+ "step": 712
544
+ },
545
+ {
546
+ "epoch": 1.62,
547
+ "learning_rate": 5e-05,
548
+ "loss": 1.0673,
549
+ "step": 720
550
+ },
551
+ {
552
+ "epoch": 1.63,
553
+ "learning_rate": 5e-05,
554
+ "loss": 1.0469,
555
+ "step": 728
556
+ },
557
+ {
558
+ "epoch": 1.65,
559
+ "learning_rate": 5e-05,
560
+ "loss": 1.0453,
561
+ "step": 736
562
+ },
563
+ {
564
+ "epoch": 1.67,
565
+ "learning_rate": 5e-05,
566
+ "loss": 1.0523,
567
+ "step": 744
568
+ },
569
+ {
570
+ "epoch": 1.69,
571
+ "learning_rate": 5e-05,
572
+ "loss": 1.0433,
573
+ "step": 752
574
+ },
575
+ {
576
+ "epoch": 1.71,
577
+ "learning_rate": 5e-05,
578
+ "loss": 1.0156,
579
+ "step": 760
580
+ },
581
+ {
582
+ "epoch": 1.72,
583
+ "learning_rate": 5e-05,
584
+ "loss": 1.0424,
585
+ "step": 768
586
+ },
587
+ {
588
+ "epoch": 1.74,
589
+ "learning_rate": 5e-05,
590
+ "loss": 1.0216,
591
+ "step": 776
592
+ },
593
+ {
594
+ "epoch": 1.76,
595
+ "learning_rate": 5e-05,
596
+ "loss": 1.0369,
597
+ "step": 784
598
+ },
599
+ {
600
+ "epoch": 1.78,
601
+ "learning_rate": 5e-05,
602
+ "loss": 1.0509,
603
+ "step": 792
604
+ },
605
+ {
606
+ "epoch": 1.8,
607
+ "learning_rate": 5e-05,
608
+ "loss": 1.0619,
609
+ "step": 800
610
+ },
611
+ {
612
+ "epoch": 1.81,
613
+ "learning_rate": 5e-05,
614
+ "loss": 1.0164,
615
+ "step": 808
616
+ },
617
+ {
618
+ "epoch": 1.83,
619
+ "learning_rate": 5e-05,
620
+ "loss": 1.0256,
621
+ "step": 816
622
+ },
623
+ {
624
+ "epoch": 1.85,
625
+ "learning_rate": 5e-05,
626
+ "loss": 1.0028,
627
+ "step": 824
628
+ },
629
+ {
630
+ "epoch": 1.87,
631
+ "learning_rate": 5e-05,
632
+ "loss": 1.0244,
633
+ "step": 832
634
+ },
635
+ {
636
+ "epoch": 1.89,
637
+ "learning_rate": 5e-05,
638
+ "loss": 1.0494,
639
+ "step": 840
640
+ },
641
+ {
642
+ "epoch": 1.9,
643
+ "learning_rate": 5e-05,
644
+ "loss": 1.0387,
645
+ "step": 848
646
+ },
647
+ {
648
+ "epoch": 1.92,
649
+ "learning_rate": 5e-05,
650
+ "loss": 1.0168,
651
+ "step": 856
652
+ },
653
+ {
654
+ "epoch": 1.94,
655
+ "learning_rate": 5e-05,
656
+ "loss": 1.0455,
657
+ "step": 864
658
+ },
659
+ {
660
+ "epoch": 1.96,
661
+ "learning_rate": 5e-05,
662
+ "loss": 1.0622,
663
+ "step": 872
664
+ },
665
+ {
666
+ "epoch": 1.98,
667
+ "learning_rate": 5e-05,
668
+ "loss": 1.0564,
669
+ "step": 880
670
+ },
671
+ {
672
+ "epoch": 1.99,
673
+ "learning_rate": 5e-05,
674
+ "loss": 1.0656,
675
+ "step": 888
676
+ },
677
+ {
678
+ "epoch": 2.01,
679
+ "learning_rate": 5e-05,
680
+ "loss": 0.9658,
681
+ "step": 896
682
+ },
683
+ {
684
+ "epoch": 2.03,
685
+ "learning_rate": 5e-05,
686
+ "loss": 0.9094,
687
+ "step": 904
688
+ },
689
+ {
690
+ "epoch": 2.05,
691
+ "learning_rate": 5e-05,
692
+ "loss": 0.9343,
693
+ "step": 912
694
+ },
695
+ {
696
+ "epoch": 2.07,
697
+ "learning_rate": 5e-05,
698
+ "loss": 0.8941,
699
+ "step": 920
700
+ },
701
+ {
702
+ "epoch": 2.08,
703
+ "learning_rate": 5e-05,
704
+ "loss": 0.8903,
705
+ "step": 928
706
+ },
707
+ {
708
+ "epoch": 2.1,
709
+ "learning_rate": 5e-05,
710
+ "loss": 0.892,
711
+ "step": 936
712
+ },
713
+ {
714
+ "epoch": 2.12,
715
+ "learning_rate": 5e-05,
716
+ "loss": 0.9425,
717
+ "step": 944
718
+ },
719
+ {
720
+ "epoch": 2.14,
721
+ "learning_rate": 5e-05,
722
+ "loss": 0.932,
723
+ "step": 952
724
+ },
725
+ {
726
+ "epoch": 2.16,
727
+ "learning_rate": 5e-05,
728
+ "loss": 0.9171,
729
+ "step": 960
730
+ },
731
+ {
732
+ "epoch": 2.17,
733
+ "learning_rate": 5e-05,
734
+ "loss": 0.8976,
735
+ "step": 968
736
+ },
737
+ {
738
+ "epoch": 2.19,
739
+ "learning_rate": 5e-05,
740
+ "loss": 0.9055,
741
+ "step": 976
742
+ },
743
+ {
744
+ "epoch": 2.21,
745
+ "learning_rate": 5e-05,
746
+ "loss": 0.9442,
747
+ "step": 984
748
+ },
749
+ {
750
+ "epoch": 2.23,
751
+ "learning_rate": 5e-05,
752
+ "loss": 0.8948,
753
+ "step": 992
754
+ },
755
+ {
756
+ "epoch": 2.25,
757
+ "learning_rate": 5e-05,
758
+ "loss": 0.9297,
759
+ "step": 1000
760
+ },
761
+ {
762
+ "epoch": 2.26,
763
+ "learning_rate": 5e-05,
764
+ "loss": 0.8957,
765
+ "step": 1008
766
+ },
767
+ {
768
+ "epoch": 2.28,
769
+ "learning_rate": 5e-05,
770
+ "loss": 0.9264,
771
+ "step": 1016
772
+ },
773
+ {
774
+ "epoch": 2.3,
775
+ "learning_rate": 5e-05,
776
+ "loss": 0.9391,
777
+ "step": 1024
778
+ },
779
+ {
780
+ "epoch": 2.32,
781
+ "learning_rate": 5e-05,
782
+ "loss": 0.8936,
783
+ "step": 1032
784
+ },
785
+ {
786
+ "epoch": 2.34,
787
+ "learning_rate": 5e-05,
788
+ "loss": 0.9537,
789
+ "step": 1040
790
+ },
791
+ {
792
+ "epoch": 2.35,
793
+ "learning_rate": 5e-05,
794
+ "loss": 0.9168,
795
+ "step": 1048
796
+ },
797
+ {
798
+ "epoch": 2.37,
799
+ "learning_rate": 5e-05,
800
+ "loss": 0.9092,
801
+ "step": 1056
802
+ },
803
+ {
804
+ "epoch": 2.39,
805
+ "learning_rate": 5e-05,
806
+ "loss": 0.9198,
807
+ "step": 1064
808
+ },
809
+ {
810
+ "epoch": 2.41,
811
+ "learning_rate": 5e-05,
812
+ "loss": 0.9284,
813
+ "step": 1072
814
+ },
815
+ {
816
+ "epoch": 2.42,
817
+ "learning_rate": 5e-05,
818
+ "loss": 0.8926,
819
+ "step": 1080
820
+ },
821
+ {
822
+ "epoch": 2.44,
823
+ "learning_rate": 5e-05,
824
+ "loss": 0.9338,
825
+ "step": 1088
826
+ },
827
+ {
828
+ "epoch": 2.46,
829
+ "learning_rate": 5e-05,
830
+ "loss": 0.91,
831
+ "step": 1096
832
+ },
833
+ {
834
+ "epoch": 2.48,
835
+ "learning_rate": 5e-05,
836
+ "loss": 0.9444,
837
+ "step": 1104
838
+ },
839
+ {
840
+ "epoch": 2.5,
841
+ "learning_rate": 5e-05,
842
+ "loss": 0.9326,
843
+ "step": 1112
844
+ },
845
+ {
846
+ "epoch": 2.51,
847
+ "learning_rate": 5e-05,
848
+ "loss": 0.901,
849
+ "step": 1120
850
+ },
851
+ {
852
+ "epoch": 2.53,
853
+ "learning_rate": 5e-05,
854
+ "loss": 0.9344,
855
+ "step": 1128
856
+ },
857
+ {
858
+ "epoch": 2.55,
859
+ "learning_rate": 5e-05,
860
+ "loss": 0.9344,
861
+ "step": 1136
862
+ },
863
+ {
864
+ "epoch": 2.57,
865
+ "learning_rate": 5e-05,
866
+ "loss": 0.9063,
867
+ "step": 1144
868
+ },
869
+ {
870
+ "epoch": 2.59,
871
+ "learning_rate": 5e-05,
872
+ "loss": 0.9123,
873
+ "step": 1152
874
+ },
875
+ {
876
+ "epoch": 2.6,
877
+ "learning_rate": 5e-05,
878
+ "loss": 0.9287,
879
+ "step": 1160
880
+ },
881
+ {
882
+ "epoch": 2.62,
883
+ "learning_rate": 5e-05,
884
+ "loss": 0.8998,
885
+ "step": 1168
886
+ },
887
+ {
888
+ "epoch": 2.64,
889
+ "learning_rate": 5e-05,
890
+ "loss": 0.9101,
891
+ "step": 1176
892
+ },
893
+ {
894
+ "epoch": 2.66,
895
+ "learning_rate": 5e-05,
896
+ "loss": 0.9353,
897
+ "step": 1184
898
+ },
899
+ {
900
+ "epoch": 2.68,
901
+ "learning_rate": 5e-05,
902
+ "loss": 0.942,
903
+ "step": 1192
904
+ },
905
+ {
906
+ "epoch": 2.69,
907
+ "learning_rate": 5e-05,
908
+ "loss": 0.9194,
909
+ "step": 1200
910
+ },
911
+ {
912
+ "epoch": 2.71,
913
+ "learning_rate": 5e-05,
914
+ "loss": 0.9221,
915
+ "step": 1208
916
+ },
917
+ {
918
+ "epoch": 2.73,
919
+ "learning_rate": 5e-05,
920
+ "loss": 0.9227,
921
+ "step": 1216
922
+ },
923
+ {
924
+ "epoch": 2.75,
925
+ "learning_rate": 5e-05,
926
+ "loss": 0.9409,
927
+ "step": 1224
928
+ },
929
+ {
930
+ "epoch": 2.77,
931
+ "learning_rate": 5e-05,
932
+ "loss": 0.9192,
933
+ "step": 1232
934
+ },
935
+ {
936
+ "epoch": 2.78,
937
+ "learning_rate": 5e-05,
938
+ "loss": 0.9274,
939
+ "step": 1240
940
+ },
941
+ {
942
+ "epoch": 2.8,
943
+ "learning_rate": 5e-05,
944
+ "loss": 0.9422,
945
+ "step": 1248
946
+ },
947
+ {
948
+ "epoch": 2.82,
949
+ "learning_rate": 5e-05,
950
+ "loss": 0.9236,
951
+ "step": 1256
952
+ },
953
+ {
954
+ "epoch": 2.84,
955
+ "learning_rate": 5e-05,
956
+ "loss": 0.9185,
957
+ "step": 1264
958
+ },
959
+ {
960
+ "epoch": 2.86,
961
+ "learning_rate": 5e-05,
962
+ "loss": 0.9179,
963
+ "step": 1272
964
+ },
965
+ {
966
+ "epoch": 2.87,
967
+ "learning_rate": 5e-05,
968
+ "loss": 0.9186,
969
+ "step": 1280
970
+ },
971
+ {
972
+ "epoch": 2.89,
973
+ "learning_rate": 5e-05,
974
+ "loss": 0.9117,
975
+ "step": 1288
976
+ },
977
+ {
978
+ "epoch": 2.91,
979
+ "learning_rate": 5e-05,
980
+ "loss": 0.9058,
981
+ "step": 1296
982
+ },
983
+ {
984
+ "epoch": 2.93,
985
+ "learning_rate": 5e-05,
986
+ "loss": 0.9486,
987
+ "step": 1304
988
+ },
989
+ {
990
+ "epoch": 2.95,
991
+ "learning_rate": 5e-05,
992
+ "loss": 0.9157,
993
+ "step": 1312
994
+ },
995
+ {
996
+ "epoch": 2.96,
997
+ "learning_rate": 5e-05,
998
+ "loss": 0.9119,
999
+ "step": 1320
1000
+ },
1001
+ {
1002
+ "epoch": 2.98,
1003
+ "learning_rate": 5e-05,
1004
+ "loss": 0.9238,
1005
+ "step": 1328
1006
+ },
1007
+ {
1008
+ "epoch": 3.0,
1009
+ "learning_rate": 5e-05,
1010
+ "loss": 0.9201,
1011
+ "step": 1336
1012
+ },
1013
+ {
1014
+ "epoch": 3.02,
1015
+ "learning_rate": 5e-05,
1016
+ "loss": 0.7697,
1017
+ "step": 1344
1018
+ },
1019
+ {
1020
+ "epoch": 3.04,
1021
+ "learning_rate": 5e-05,
1022
+ "loss": 0.7608,
1023
+ "step": 1352
1024
+ },
1025
+ {
1026
+ "epoch": 3.05,
1027
+ "learning_rate": 5e-05,
1028
+ "loss": 0.7581,
1029
+ "step": 1360
1030
+ },
1031
+ {
1032
+ "epoch": 3.07,
1033
+ "learning_rate": 5e-05,
1034
+ "loss": 0.7518,
1035
+ "step": 1368
1036
+ },
1037
+ {
1038
+ "epoch": 3.09,
1039
+ "learning_rate": 5e-05,
1040
+ "loss": 0.7121,
1041
+ "step": 1376
1042
+ },
1043
+ {
1044
+ "epoch": 3.11,
1045
+ "learning_rate": 5e-05,
1046
+ "loss": 0.7284,
1047
+ "step": 1384
1048
+ },
1049
+ {
1050
+ "epoch": 3.13,
1051
+ "learning_rate": 5e-05,
1052
+ "loss": 0.7513,
1053
+ "step": 1392
1054
+ },
1055
+ {
1056
+ "epoch": 3.14,
1057
+ "learning_rate": 5e-05,
1058
+ "loss": 0.7529,
1059
+ "step": 1400
1060
+ },
1061
+ {
1062
+ "epoch": 3.16,
1063
+ "learning_rate": 5e-05,
1064
+ "loss": 0.7443,
1065
+ "step": 1408
1066
+ },
1067
+ {
1068
+ "epoch": 3.18,
1069
+ "learning_rate": 5e-05,
1070
+ "loss": 0.7603,
1071
+ "step": 1416
1072
+ },
1073
+ {
1074
+ "epoch": 3.2,
1075
+ "learning_rate": 5e-05,
1076
+ "loss": 0.7242,
1077
+ "step": 1424
1078
+ },
1079
+ {
1080
+ "epoch": 3.22,
1081
+ "learning_rate": 5e-05,
1082
+ "loss": 0.7504,
1083
+ "step": 1432
1084
+ },
1085
+ {
1086
+ "epoch": 3.23,
1087
+ "learning_rate": 5e-05,
1088
+ "loss": 0.7363,
1089
+ "step": 1440
1090
+ },
1091
+ {
1092
+ "epoch": 3.25,
1093
+ "learning_rate": 5e-05,
1094
+ "loss": 0.7307,
1095
+ "step": 1448
1096
+ },
1097
+ {
1098
+ "epoch": 3.27,
1099
+ "learning_rate": 5e-05,
1100
+ "loss": 0.757,
1101
+ "step": 1456
1102
+ },
1103
+ {
1104
+ "epoch": 3.29,
1105
+ "learning_rate": 5e-05,
1106
+ "loss": 0.7337,
1107
+ "step": 1464
1108
+ },
1109
+ {
1110
+ "epoch": 3.31,
1111
+ "learning_rate": 5e-05,
1112
+ "loss": 0.7338,
1113
+ "step": 1472
1114
+ },
1115
+ {
1116
+ "epoch": 3.32,
1117
+ "learning_rate": 5e-05,
1118
+ "loss": 0.7632,
1119
+ "step": 1480
1120
+ },
1121
+ {
1122
+ "epoch": 3.34,
1123
+ "learning_rate": 5e-05,
1124
+ "loss": 0.7643,
1125
+ "step": 1488
1126
+ },
1127
+ {
1128
+ "epoch": 3.36,
1129
+ "learning_rate": 5e-05,
1130
+ "loss": 0.7458,
1131
+ "step": 1496
1132
+ },
1133
+ {
1134
+ "epoch": 3.38,
1135
+ "learning_rate": 5e-05,
1136
+ "loss": 0.7704,
1137
+ "step": 1504
1138
+ },
1139
+ {
1140
+ "epoch": 3.39,
1141
+ "learning_rate": 5e-05,
1142
+ "loss": 0.755,
1143
+ "step": 1512
1144
+ },
1145
+ {
1146
+ "epoch": 3.41,
1147
+ "learning_rate": 5e-05,
1148
+ "loss": 0.7182,
1149
+ "step": 1520
1150
+ },
1151
+ {
1152
+ "epoch": 3.43,
1153
+ "learning_rate": 5e-05,
1154
+ "loss": 0.7533,
1155
+ "step": 1528
1156
+ },
1157
+ {
1158
+ "epoch": 3.45,
1159
+ "learning_rate": 5e-05,
1160
+ "loss": 0.7475,
1161
+ "step": 1536
1162
+ },
1163
+ {
1164
+ "epoch": 3.47,
1165
+ "learning_rate": 5e-05,
1166
+ "loss": 0.7671,
1167
+ "step": 1544
1168
+ },
1169
+ {
1170
+ "epoch": 3.48,
1171
+ "learning_rate": 5e-05,
1172
+ "loss": 0.7541,
1173
+ "step": 1552
1174
+ },
1175
+ {
1176
+ "epoch": 3.5,
1177
+ "learning_rate": 5e-05,
1178
+ "loss": 0.7758,
1179
+ "step": 1560
1180
+ },
1181
+ {
1182
+ "epoch": 3.52,
1183
+ "learning_rate": 5e-05,
1184
+ "loss": 0.7387,
1185
+ "step": 1568
1186
+ },
1187
+ {
1188
+ "epoch": 3.54,
1189
+ "learning_rate": 5e-05,
1190
+ "loss": 0.7928,
1191
+ "step": 1576
1192
+ },
1193
+ {
1194
+ "epoch": 3.56,
1195
+ "learning_rate": 5e-05,
1196
+ "loss": 0.7494,
1197
+ "step": 1584
1198
+ },
1199
+ {
1200
+ "epoch": 3.57,
1201
+ "learning_rate": 5e-05,
1202
+ "loss": 0.7716,
1203
+ "step": 1592
1204
+ },
1205
+ {
1206
+ "epoch": 3.59,
1207
+ "learning_rate": 5e-05,
1208
+ "loss": 0.7735,
1209
+ "step": 1600
1210
+ },
1211
+ {
1212
+ "epoch": 3.61,
1213
+ "learning_rate": 5e-05,
1214
+ "loss": 0.7688,
1215
+ "step": 1608
1216
+ },
1217
+ {
1218
+ "epoch": 3.63,
1219
+ "learning_rate": 5e-05,
1220
+ "loss": 0.7852,
1221
+ "step": 1616
1222
+ },
1223
+ {
1224
+ "epoch": 3.65,
1225
+ "learning_rate": 5e-05,
1226
+ "loss": 0.7501,
1227
+ "step": 1624
1228
+ },
1229
+ {
1230
+ "epoch": 3.66,
1231
+ "learning_rate": 5e-05,
1232
+ "loss": 0.7754,
1233
+ "step": 1632
1234
+ },
1235
+ {
1236
+ "epoch": 3.68,
1237
+ "learning_rate": 5e-05,
1238
+ "loss": 0.756,
1239
+ "step": 1640
1240
+ },
1241
+ {
1242
+ "epoch": 3.7,
1243
+ "learning_rate": 5e-05,
1244
+ "loss": 0.7778,
1245
+ "step": 1648
1246
+ },
1247
+ {
1248
+ "epoch": 3.72,
1249
+ "learning_rate": 5e-05,
1250
+ "loss": 0.7835,
1251
+ "step": 1656
1252
+ },
1253
+ {
1254
+ "epoch": 3.74,
1255
+ "learning_rate": 5e-05,
1256
+ "loss": 0.7714,
1257
+ "step": 1664
1258
+ },
1259
+ {
1260
+ "epoch": 3.75,
1261
+ "learning_rate": 5e-05,
1262
+ "loss": 0.7417,
1263
+ "step": 1672
1264
+ },
1265
+ {
1266
+ "epoch": 3.77,
1267
+ "learning_rate": 5e-05,
1268
+ "loss": 0.7803,
1269
+ "step": 1680
1270
+ },
1271
+ {
1272
+ "epoch": 3.79,
1273
+ "learning_rate": 5e-05,
1274
+ "loss": 0.7616,
1275
+ "step": 1688
1276
+ },
1277
+ {
1278
+ "epoch": 3.81,
1279
+ "learning_rate": 5e-05,
1280
+ "loss": 0.7574,
1281
+ "step": 1696
1282
+ },
1283
+ {
1284
+ "epoch": 3.83,
1285
+ "learning_rate": 5e-05,
1286
+ "loss": 0.7895,
1287
+ "step": 1704
1288
+ },
1289
+ {
1290
+ "epoch": 3.84,
1291
+ "learning_rate": 5e-05,
1292
+ "loss": 0.7773,
1293
+ "step": 1712
1294
+ },
1295
+ {
1296
+ "epoch": 3.86,
1297
+ "learning_rate": 5e-05,
1298
+ "loss": 0.7839,
1299
+ "step": 1720
1300
+ },
1301
+ {
1302
+ "epoch": 3.88,
1303
+ "learning_rate": 5e-05,
1304
+ "loss": 0.7675,
1305
+ "step": 1728
1306
+ },
1307
+ {
1308
+ "epoch": 3.9,
1309
+ "learning_rate": 5e-05,
1310
+ "loss": 0.7649,
1311
+ "step": 1736
1312
+ },
1313
+ {
1314
+ "epoch": 3.92,
1315
+ "learning_rate": 5e-05,
1316
+ "loss": 0.7656,
1317
+ "step": 1744
1318
+ },
1319
+ {
1320
+ "epoch": 3.93,
1321
+ "learning_rate": 5e-05,
1322
+ "loss": 0.7725,
1323
+ "step": 1752
1324
+ },
1325
+ {
1326
+ "epoch": 3.95,
1327
+ "learning_rate": 5e-05,
1328
+ "loss": 0.7609,
1329
+ "step": 1760
1330
+ },
1331
+ {
1332
+ "epoch": 3.97,
1333
+ "learning_rate": 5e-05,
1334
+ "loss": 0.7664,
1335
+ "step": 1768
1336
+ },
1337
+ {
1338
+ "epoch": 3.99,
1339
+ "learning_rate": 5e-05,
1340
+ "loss": 0.7945,
1341
+ "step": 1776
1342
+ },
1343
+ {
1344
+ "epoch": 4.01,
1345
+ "learning_rate": 5e-05,
1346
+ "loss": 0.7065,
1347
+ "step": 1784
1348
+ },
1349
+ {
1350
+ "epoch": 4.02,
1351
+ "learning_rate": 5e-05,
1352
+ "loss": 0.5463,
1353
+ "step": 1792
1354
+ },
1355
+ {
1356
+ "epoch": 4.04,
1357
+ "learning_rate": 5e-05,
1358
+ "loss": 0.549,
1359
+ "step": 1800
1360
+ },
1361
+ {
1362
+ "epoch": 4.06,
1363
+ "learning_rate": 5e-05,
1364
+ "loss": 0.571,
1365
+ "step": 1808
1366
+ },
1367
+ {
1368
+ "epoch": 4.08,
1369
+ "learning_rate": 5e-05,
1370
+ "loss": 0.5538,
1371
+ "step": 1816
1372
+ },
1373
+ {
1374
+ "epoch": 4.1,
1375
+ "learning_rate": 5e-05,
1376
+ "loss": 0.5649,
1377
+ "step": 1824
1378
+ },
1379
+ {
1380
+ "epoch": 4.11,
1381
+ "learning_rate": 5e-05,
1382
+ "loss": 0.5719,
1383
+ "step": 1832
1384
+ },
1385
+ {
1386
+ "epoch": 4.13,
1387
+ "learning_rate": 5e-05,
1388
+ "loss": 0.5273,
1389
+ "step": 1840
1390
+ },
1391
+ {
1392
+ "epoch": 4.15,
1393
+ "learning_rate": 5e-05,
1394
+ "loss": 0.5482,
1395
+ "step": 1848
1396
+ },
1397
+ {
1398
+ "epoch": 4.17,
1399
+ "learning_rate": 5e-05,
1400
+ "loss": 0.5708,
1401
+ "step": 1856
1402
+ },
1403
+ {
1404
+ "epoch": 4.19,
1405
+ "learning_rate": 5e-05,
1406
+ "loss": 0.5643,
1407
+ "step": 1864
1408
+ },
1409
+ {
1410
+ "epoch": 4.2,
1411
+ "learning_rate": 5e-05,
1412
+ "loss": 0.5372,
1413
+ "step": 1872
1414
+ },
1415
+ {
1416
+ "epoch": 4.22,
1417
+ "learning_rate": 5e-05,
1418
+ "loss": 0.5623,
1419
+ "step": 1880
1420
+ },
1421
+ {
1422
+ "epoch": 4.24,
1423
+ "learning_rate": 5e-05,
1424
+ "loss": 0.5869,
1425
+ "step": 1888
1426
+ },
1427
+ {
1428
+ "epoch": 4.26,
1429
+ "learning_rate": 5e-05,
1430
+ "loss": 0.5929,
1431
+ "step": 1896
1432
+ },
1433
+ {
1434
+ "epoch": 4.28,
1435
+ "learning_rate": 5e-05,
1436
+ "loss": 0.5645,
1437
+ "step": 1904
1438
+ },
1439
+ {
1440
+ "epoch": 4.29,
1441
+ "learning_rate": 5e-05,
1442
+ "loss": 0.5901,
1443
+ "step": 1912
1444
+ },
1445
+ {
1446
+ "epoch": 4.31,
1447
+ "learning_rate": 5e-05,
1448
+ "loss": 0.5585,
1449
+ "step": 1920
1450
+ },
1451
+ {
1452
+ "epoch": 4.33,
1453
+ "learning_rate": 5e-05,
1454
+ "loss": 0.571,
1455
+ "step": 1928
1456
+ },
1457
+ {
1458
+ "epoch": 4.35,
1459
+ "learning_rate": 5e-05,
1460
+ "loss": 0.5824,
1461
+ "step": 1936
1462
+ },
1463
+ {
1464
+ "epoch": 4.36,
1465
+ "learning_rate": 5e-05,
1466
+ "loss": 0.5801,
1467
+ "step": 1944
1468
+ },
1469
+ {
1470
+ "epoch": 4.38,
1471
+ "learning_rate": 5e-05,
1472
+ "loss": 0.5736,
1473
+ "step": 1952
1474
+ },
1475
+ {
1476
+ "epoch": 4.4,
1477
+ "learning_rate": 5e-05,
1478
+ "loss": 0.5874,
1479
+ "step": 1960
1480
+ },
1481
+ {
1482
+ "epoch": 4.42,
1483
+ "learning_rate": 5e-05,
1484
+ "loss": 0.5795,
1485
+ "step": 1968
1486
+ },
1487
+ {
1488
+ "epoch": 4.44,
1489
+ "learning_rate": 5e-05,
1490
+ "loss": 0.5868,
1491
+ "step": 1976
1492
+ },
1493
+ {
1494
+ "epoch": 4.45,
1495
+ "learning_rate": 5e-05,
1496
+ "loss": 0.5649,
1497
+ "step": 1984
1498
+ },
1499
+ {
1500
+ "epoch": 4.47,
1501
+ "learning_rate": 5e-05,
1502
+ "loss": 0.5769,
1503
+ "step": 1992
1504
+ },
1505
+ {
1506
+ "epoch": 4.49,
1507
+ "learning_rate": 5e-05,
1508
+ "loss": 0.5944,
1509
+ "step": 2000
1510
+ },
1511
+ {
1512
+ "epoch": 4.51,
1513
+ "learning_rate": 5e-05,
1514
+ "loss": 0.5876,
1515
+ "step": 2008
1516
+ },
1517
+ {
1518
+ "epoch": 4.53,
1519
+ "learning_rate": 5e-05,
1520
+ "loss": 0.6052,
1521
+ "step": 2016
1522
+ },
1523
+ {
1524
+ "epoch": 4.54,
1525
+ "learning_rate": 5e-05,
1526
+ "loss": 0.5994,
1527
+ "step": 2024
1528
+ },
1529
+ {
1530
+ "epoch": 4.56,
1531
+ "learning_rate": 5e-05,
1532
+ "loss": 0.5684,
1533
+ "step": 2032
1534
+ },
1535
+ {
1536
+ "epoch": 4.58,
1537
+ "learning_rate": 5e-05,
1538
+ "loss": 0.5927,
1539
+ "step": 2040
1540
+ },
1541
+ {
1542
+ "epoch": 4.6,
1543
+ "learning_rate": 5e-05,
1544
+ "loss": 0.5857,
1545
+ "step": 2048
1546
+ },
1547
+ {
1548
+ "epoch": 4.62,
1549
+ "learning_rate": 5e-05,
1550
+ "loss": 0.566,
1551
+ "step": 2056
1552
+ },
1553
+ {
1554
+ "epoch": 4.63,
1555
+ "learning_rate": 5e-05,
1556
+ "loss": 0.5763,
1557
+ "step": 2064
1558
+ },
1559
+ {
1560
+ "epoch": 4.65,
1561
+ "learning_rate": 5e-05,
1562
+ "loss": 0.5997,
1563
+ "step": 2072
1564
+ },
1565
+ {
1566
+ "epoch": 4.67,
1567
+ "learning_rate": 5e-05,
1568
+ "loss": 0.5655,
1569
+ "step": 2080
1570
+ },
1571
+ {
1572
+ "epoch": 4.69,
1573
+ "learning_rate": 5e-05,
1574
+ "loss": 0.5859,
1575
+ "step": 2088
1576
+ },
1577
+ {
1578
+ "epoch": 4.71,
1579
+ "learning_rate": 5e-05,
1580
+ "loss": 0.5636,
1581
+ "step": 2096
1582
+ },
1583
+ {
1584
+ "epoch": 4.72,
1585
+ "learning_rate": 5e-05,
1586
+ "loss": 0.5964,
1587
+ "step": 2104
1588
+ },
1589
+ {
1590
+ "epoch": 4.74,
1591
+ "learning_rate": 5e-05,
1592
+ "loss": 0.5534,
1593
+ "step": 2112
1594
+ },
1595
+ {
1596
+ "epoch": 4.76,
1597
+ "learning_rate": 5e-05,
1598
+ "loss": 0.5858,
1599
+ "step": 2120
1600
+ },
1601
+ {
1602
+ "epoch": 4.78,
1603
+ "learning_rate": 5e-05,
1604
+ "loss": 0.5916,
1605
+ "step": 2128
1606
+ },
1607
+ {
1608
+ "epoch": 4.8,
1609
+ "learning_rate": 5e-05,
1610
+ "loss": 0.5862,
1611
+ "step": 2136
1612
+ },
1613
+ {
1614
+ "epoch": 4.81,
1615
+ "learning_rate": 5e-05,
1616
+ "loss": 0.6118,
1617
+ "step": 2144
1618
+ },
1619
+ {
1620
+ "epoch": 4.83,
1621
+ "learning_rate": 5e-05,
1622
+ "loss": 0.6023,
1623
+ "step": 2152
1624
+ },
1625
+ {
1626
+ "epoch": 4.85,
1627
+ "learning_rate": 5e-05,
1628
+ "loss": 0.5927,
1629
+ "step": 2160
1630
+ },
1631
+ {
1632
+ "epoch": 4.87,
1633
+ "learning_rate": 5e-05,
1634
+ "loss": 0.5911,
1635
+ "step": 2168
1636
+ },
1637
+ {
1638
+ "epoch": 4.89,
1639
+ "learning_rate": 5e-05,
1640
+ "loss": 0.6043,
1641
+ "step": 2176
1642
+ },
1643
+ {
1644
+ "epoch": 4.9,
1645
+ "learning_rate": 5e-05,
1646
+ "loss": 0.5779,
1647
+ "step": 2184
1648
+ },
1649
+ {
1650
+ "epoch": 4.92,
1651
+ "learning_rate": 5e-05,
1652
+ "loss": 0.6112,
1653
+ "step": 2192
1654
+ },
1655
+ {
1656
+ "epoch": 4.94,
1657
+ "learning_rate": 5e-05,
1658
+ "loss": 0.5893,
1659
+ "step": 2200
1660
+ },
1661
+ {
1662
+ "epoch": 4.96,
1663
+ "learning_rate": 5e-05,
1664
+ "loss": 0.597,
1665
+ "step": 2208
1666
+ },
1667
+ {
1668
+ "epoch": 4.98,
1669
+ "learning_rate": 5e-05,
1670
+ "loss": 0.5992,
1671
+ "step": 2216
1672
+ },
1673
+ {
1674
+ "epoch": 4.99,
1675
+ "learning_rate": 5e-05,
1676
+ "loss": 0.5933,
1677
+ "step": 2224
1678
+ }
1679
+ ],
1680
+ "logging_steps": 8,
1681
+ "max_steps": 2225,
1682
+ "num_train_epochs": 5,
1683
+ "save_steps": 500,
1684
+ "total_flos": 1.5950431556342907e+18,
1685
+ "trial_name": null,
1686
+ "trial_params": null
1687
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bee34909e811e7da9196bddb6478e59b8b4726a3b15aed7e157b96d4b1b65baa
3
+ size 4792