Sentdex commited on
Commit
4b8b90f
·
1 Parent(s): 73a3214

Training in progress, step 200, checkpoint

Browse files
checkpoint-200/README.md ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: bfloat16
18
+ ### Framework versions
19
+
20
+
21
+ - PEFT 0.4.0
checkpoint-200/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "SkunkworksAI/Mistralic-7B-1",
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": 16.0,
11
+ "lora_dropout": 0.0,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 64,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "v_proj",
18
+ "o_proj",
19
+ "q_proj",
20
+ "gate_proj",
21
+ "down_proj",
22
+ "up_proj",
23
+ "k_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
checkpoint-200/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ef5f0162994c589d25f3168d2ab9c27087397b47007f2b781030fc5edfb7eb6
3
+ size 335706314
checkpoint-200/adapter_model/adapter_model/README.md ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: bfloat16
18
+
19
+ The following `bitsandbytes` quantization config was used during training:
20
+ - quant_method: bitsandbytes
21
+ - load_in_8bit: False
22
+ - load_in_4bit: True
23
+ - llm_int8_threshold: 6.0
24
+ - llm_int8_skip_modules: None
25
+ - llm_int8_enable_fp32_cpu_offload: False
26
+ - llm_int8_has_fp16_weight: False
27
+ - bnb_4bit_quant_type: nf4
28
+ - bnb_4bit_use_double_quant: True
29
+ - bnb_4bit_compute_dtype: bfloat16
30
+ ### Framework versions
31
+
32
+ - PEFT 0.4.0
33
+
34
+ - PEFT 0.4.0
checkpoint-200/adapter_model/adapter_model/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "auto_mapping": null,
3
+ "base_model_name_or_path": "SkunkworksAI/Mistralic-7B-1",
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": 16.0,
11
+ "lora_dropout": 0.0,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 64,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "v_proj",
18
+ "o_proj",
19
+ "q_proj",
20
+ "gate_proj",
21
+ "down_proj",
22
+ "up_proj",
23
+ "k_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM"
26
+ }
checkpoint-200/adapter_model/adapter_model/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ef5f0162994c589d25f3168d2ab9c27087397b47007f2b781030fc5edfb7eb6
3
+ size 335706314
checkpoint-200/added_tokens.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</s>": 2,
3
+ "<s>": 1,
4
+ "<unk>": 0,
5
+ "<|im_end|>": 32000,
6
+ "<|im_start|>": 32001,
7
+ "[PAD]": 32002
8
+ }
checkpoint-200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:499ab662e2bc1a4dfd2d81db232c2382ee0fd5484ac92223f27dcf9894ce0cd2
3
+ size 1342452986
checkpoint-200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77aaa5eb841e7f379502d1956b06d80ac6d3455369b5d7c1534cf0e28ff9267a
3
+ size 14180
checkpoint-200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da963d3b7106f3b4c395d03ef6897e64220165c23480563310345c76ab7b120d
3
+ size 1064
checkpoint-200/special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "eos_token": "</s>",
4
+ "pad_token": "[PAD]",
5
+ "unk_token": "<unk>"
6
+ }
checkpoint-200/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
checkpoint-200/tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": true,
8
+ "normalized": false,
9
+ "rstrip": true,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": true,
16
+ "normalized": false,
17
+ "rstrip": true,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": true,
24
+ "normalized": false,
25
+ "rstrip": true,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "32000": {
30
+ "content": "<|im_end|>",
31
+ "lstrip": true,
32
+ "normalized": true,
33
+ "rstrip": true,
34
+ "single_word": false,
35
+ "special": false
36
+ },
37
+ "32001": {
38
+ "content": "<|im_start|>",
39
+ "lstrip": true,
40
+ "normalized": true,
41
+ "rstrip": true,
42
+ "single_word": false,
43
+ "special": false
44
+ },
45
+ "32002": {
46
+ "content": "[PAD]",
47
+ "lstrip": true,
48
+ "normalized": false,
49
+ "rstrip": true,
50
+ "single_word": false,
51
+ "special": true
52
+ }
53
+ },
54
+ "additional_special_tokens": [],
55
+ "bos_token": "<s>",
56
+ "clean_up_tokenization_spaces": false,
57
+ "eos_token": "</s>",
58
+ "legacy": true,
59
+ "model_max_length": 1000000000000000019884624838656,
60
+ "pad_token": null,
61
+ "padding_side": "right",
62
+ "sp_model_kwargs": {},
63
+ "spaces_between_special_tokens": false,
64
+ "tokenizer_class": "LlamaTokenizer",
65
+ "tokenizer_file": null,
66
+ "trust_remote_code": false,
67
+ "unk_token": "<unk>",
68
+ "use_default_system_prompt": true,
69
+ "use_fast": true
70
+ }
checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,1290 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.041513204574585,
3
+ "best_model_checkpoint": "AdapterOcean/expert_48c30759dcdc46bbaa4ac238827e8946/checkpoint-200",
4
+ "epoch": 1.9851116625310175,
5
+ "eval_steps": 200,
6
+ "global_step": 200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 0.0001,
14
+ "loss": 1.2985,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.02,
19
+ "learning_rate": 0.0001,
20
+ "loss": 1.2195,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.03,
25
+ "learning_rate": 0.0001,
26
+ "loss": 1.2698,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.04,
31
+ "learning_rate": 0.0001,
32
+ "loss": 1.2784,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.05,
37
+ "learning_rate": 0.0001,
38
+ "loss": 1.2247,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.06,
43
+ "learning_rate": 0.0001,
44
+ "loss": 1.2069,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.07,
49
+ "learning_rate": 0.0001,
50
+ "loss": 1.2087,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.08,
55
+ "learning_rate": 0.0001,
56
+ "loss": 1.1896,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.09,
61
+ "learning_rate": 0.0001,
62
+ "loss": 1.2188,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.1,
67
+ "learning_rate": 0.0001,
68
+ "loss": 1.2475,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.11,
73
+ "learning_rate": 0.0001,
74
+ "loss": 1.2399,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.12,
79
+ "learning_rate": 0.0001,
80
+ "loss": 1.1825,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.13,
85
+ "learning_rate": 0.0001,
86
+ "loss": 1.2209,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.14,
91
+ "learning_rate": 0.0001,
92
+ "loss": 1.1607,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.15,
97
+ "learning_rate": 0.0001,
98
+ "loss": 1.2232,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.16,
103
+ "learning_rate": 0.0001,
104
+ "loss": 1.1544,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.17,
109
+ "learning_rate": 0.0001,
110
+ "loss": 1.1817,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.18,
115
+ "learning_rate": 0.0001,
116
+ "loss": 1.1507,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.19,
121
+ "learning_rate": 0.0001,
122
+ "loss": 1.2273,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.2,
127
+ "learning_rate": 0.0001,
128
+ "loss": 1.1444,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.21,
133
+ "learning_rate": 0.0001,
134
+ "loss": 1.1858,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 0.22,
139
+ "learning_rate": 0.0001,
140
+ "loss": 1.1274,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 0.23,
145
+ "learning_rate": 0.0001,
146
+ "loss": 1.1356,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 0.24,
151
+ "learning_rate": 0.0001,
152
+ "loss": 1.175,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 0.25,
157
+ "learning_rate": 0.0001,
158
+ "loss": 1.1882,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 0.26,
163
+ "learning_rate": 0.0001,
164
+ "loss": 1.1175,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 0.27,
169
+ "learning_rate": 0.0001,
170
+ "loss": 1.1503,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.28,
175
+ "learning_rate": 0.0001,
176
+ "loss": 1.1498,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 0.29,
181
+ "learning_rate": 0.0001,
182
+ "loss": 1.1885,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 0.3,
187
+ "learning_rate": 0.0001,
188
+ "loss": 1.1122,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 0.31,
193
+ "learning_rate": 0.0001,
194
+ "loss": 1.1857,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 0.32,
199
+ "learning_rate": 0.0001,
200
+ "loss": 1.1708,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 0.33,
205
+ "learning_rate": 0.0001,
206
+ "loss": 1.1477,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 0.34,
211
+ "learning_rate": 0.0001,
212
+ "loss": 1.1293,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 0.35,
217
+ "learning_rate": 0.0001,
218
+ "loss": 1.109,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 0.36,
223
+ "learning_rate": 0.0001,
224
+ "loss": 1.1464,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 0.37,
229
+ "learning_rate": 0.0001,
230
+ "loss": 1.128,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 0.38,
235
+ "learning_rate": 0.0001,
236
+ "loss": 1.147,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 0.39,
241
+ "learning_rate": 0.0001,
242
+ "loss": 1.2353,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 0.4,
247
+ "learning_rate": 0.0001,
248
+ "loss": 1.1812,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 0.41,
253
+ "learning_rate": 0.0001,
254
+ "loss": 1.155,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 0.42,
259
+ "learning_rate": 0.0001,
260
+ "loss": 1.1613,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 0.43,
265
+ "learning_rate": 0.0001,
266
+ "loss": 1.1696,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 0.44,
271
+ "learning_rate": 0.0001,
272
+ "loss": 1.1892,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 0.45,
277
+ "learning_rate": 0.0001,
278
+ "loss": 1.1204,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 0.46,
283
+ "learning_rate": 0.0001,
284
+ "loss": 1.1654,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 0.47,
289
+ "learning_rate": 0.0001,
290
+ "loss": 1.1115,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 0.48,
295
+ "learning_rate": 0.0001,
296
+ "loss": 1.1527,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 0.49,
301
+ "learning_rate": 0.0001,
302
+ "loss": 1.0611,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 0.5,
307
+ "learning_rate": 0.0001,
308
+ "loss": 1.1004,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 0.51,
313
+ "learning_rate": 0.0001,
314
+ "loss": 1.1625,
315
+ "step": 51
316
+ },
317
+ {
318
+ "epoch": 0.52,
319
+ "learning_rate": 0.0001,
320
+ "loss": 1.1223,
321
+ "step": 52
322
+ },
323
+ {
324
+ "epoch": 0.53,
325
+ "learning_rate": 0.0001,
326
+ "loss": 1.1708,
327
+ "step": 53
328
+ },
329
+ {
330
+ "epoch": 0.54,
331
+ "learning_rate": 0.0001,
332
+ "loss": 1.1158,
333
+ "step": 54
334
+ },
335
+ {
336
+ "epoch": 0.55,
337
+ "learning_rate": 0.0001,
338
+ "loss": 1.1377,
339
+ "step": 55
340
+ },
341
+ {
342
+ "epoch": 0.56,
343
+ "learning_rate": 0.0001,
344
+ "loss": 1.0838,
345
+ "step": 56
346
+ },
347
+ {
348
+ "epoch": 0.57,
349
+ "learning_rate": 0.0001,
350
+ "loss": 1.1499,
351
+ "step": 57
352
+ },
353
+ {
354
+ "epoch": 0.58,
355
+ "learning_rate": 0.0001,
356
+ "loss": 1.1489,
357
+ "step": 58
358
+ },
359
+ {
360
+ "epoch": 0.59,
361
+ "learning_rate": 0.0001,
362
+ "loss": 1.1298,
363
+ "step": 59
364
+ },
365
+ {
366
+ "epoch": 0.6,
367
+ "learning_rate": 0.0001,
368
+ "loss": 1.1488,
369
+ "step": 60
370
+ },
371
+ {
372
+ "epoch": 0.61,
373
+ "learning_rate": 0.0001,
374
+ "loss": 1.1051,
375
+ "step": 61
376
+ },
377
+ {
378
+ "epoch": 0.62,
379
+ "learning_rate": 0.0001,
380
+ "loss": 1.1253,
381
+ "step": 62
382
+ },
383
+ {
384
+ "epoch": 0.63,
385
+ "learning_rate": 0.0001,
386
+ "loss": 1.0944,
387
+ "step": 63
388
+ },
389
+ {
390
+ "epoch": 0.64,
391
+ "learning_rate": 0.0001,
392
+ "loss": 1.1311,
393
+ "step": 64
394
+ },
395
+ {
396
+ "epoch": 0.65,
397
+ "learning_rate": 0.0001,
398
+ "loss": 1.1718,
399
+ "step": 65
400
+ },
401
+ {
402
+ "epoch": 0.66,
403
+ "learning_rate": 0.0001,
404
+ "loss": 1.1815,
405
+ "step": 66
406
+ },
407
+ {
408
+ "epoch": 0.67,
409
+ "learning_rate": 0.0001,
410
+ "loss": 1.1177,
411
+ "step": 67
412
+ },
413
+ {
414
+ "epoch": 0.67,
415
+ "learning_rate": 0.0001,
416
+ "loss": 1.1024,
417
+ "step": 68
418
+ },
419
+ {
420
+ "epoch": 0.68,
421
+ "learning_rate": 0.0001,
422
+ "loss": 1.1886,
423
+ "step": 69
424
+ },
425
+ {
426
+ "epoch": 0.69,
427
+ "learning_rate": 0.0001,
428
+ "loss": 1.1562,
429
+ "step": 70
430
+ },
431
+ {
432
+ "epoch": 0.7,
433
+ "learning_rate": 0.0001,
434
+ "loss": 1.1722,
435
+ "step": 71
436
+ },
437
+ {
438
+ "epoch": 0.71,
439
+ "learning_rate": 0.0001,
440
+ "loss": 1.1555,
441
+ "step": 72
442
+ },
443
+ {
444
+ "epoch": 0.72,
445
+ "learning_rate": 0.0001,
446
+ "loss": 1.1536,
447
+ "step": 73
448
+ },
449
+ {
450
+ "epoch": 0.73,
451
+ "learning_rate": 0.0001,
452
+ "loss": 1.1499,
453
+ "step": 74
454
+ },
455
+ {
456
+ "epoch": 0.74,
457
+ "learning_rate": 0.0001,
458
+ "loss": 1.1013,
459
+ "step": 75
460
+ },
461
+ {
462
+ "epoch": 0.75,
463
+ "learning_rate": 0.0001,
464
+ "loss": 1.1195,
465
+ "step": 76
466
+ },
467
+ {
468
+ "epoch": 0.76,
469
+ "learning_rate": 0.0001,
470
+ "loss": 1.1287,
471
+ "step": 77
472
+ },
473
+ {
474
+ "epoch": 0.77,
475
+ "learning_rate": 0.0001,
476
+ "loss": 1.0812,
477
+ "step": 78
478
+ },
479
+ {
480
+ "epoch": 0.78,
481
+ "learning_rate": 0.0001,
482
+ "loss": 1.1303,
483
+ "step": 79
484
+ },
485
+ {
486
+ "epoch": 0.79,
487
+ "learning_rate": 0.0001,
488
+ "loss": 1.1474,
489
+ "step": 80
490
+ },
491
+ {
492
+ "epoch": 0.8,
493
+ "learning_rate": 0.0001,
494
+ "loss": 1.1326,
495
+ "step": 81
496
+ },
497
+ {
498
+ "epoch": 0.81,
499
+ "learning_rate": 0.0001,
500
+ "loss": 1.1182,
501
+ "step": 82
502
+ },
503
+ {
504
+ "epoch": 0.82,
505
+ "learning_rate": 0.0001,
506
+ "loss": 1.1476,
507
+ "step": 83
508
+ },
509
+ {
510
+ "epoch": 0.83,
511
+ "learning_rate": 0.0001,
512
+ "loss": 1.159,
513
+ "step": 84
514
+ },
515
+ {
516
+ "epoch": 0.84,
517
+ "learning_rate": 0.0001,
518
+ "loss": 1.1201,
519
+ "step": 85
520
+ },
521
+ {
522
+ "epoch": 0.85,
523
+ "learning_rate": 0.0001,
524
+ "loss": 1.0944,
525
+ "step": 86
526
+ },
527
+ {
528
+ "epoch": 0.86,
529
+ "learning_rate": 0.0001,
530
+ "loss": 1.1369,
531
+ "step": 87
532
+ },
533
+ {
534
+ "epoch": 0.87,
535
+ "learning_rate": 0.0001,
536
+ "loss": 1.1068,
537
+ "step": 88
538
+ },
539
+ {
540
+ "epoch": 0.88,
541
+ "learning_rate": 0.0001,
542
+ "loss": 1.1197,
543
+ "step": 89
544
+ },
545
+ {
546
+ "epoch": 0.89,
547
+ "learning_rate": 0.0001,
548
+ "loss": 1.069,
549
+ "step": 90
550
+ },
551
+ {
552
+ "epoch": 0.9,
553
+ "learning_rate": 0.0001,
554
+ "loss": 1.0702,
555
+ "step": 91
556
+ },
557
+ {
558
+ "epoch": 0.91,
559
+ "learning_rate": 0.0001,
560
+ "loss": 1.0742,
561
+ "step": 92
562
+ },
563
+ {
564
+ "epoch": 0.92,
565
+ "learning_rate": 0.0001,
566
+ "loss": 1.1243,
567
+ "step": 93
568
+ },
569
+ {
570
+ "epoch": 0.93,
571
+ "learning_rate": 0.0001,
572
+ "loss": 1.1681,
573
+ "step": 94
574
+ },
575
+ {
576
+ "epoch": 0.94,
577
+ "learning_rate": 0.0001,
578
+ "loss": 1.0953,
579
+ "step": 95
580
+ },
581
+ {
582
+ "epoch": 0.95,
583
+ "learning_rate": 0.0001,
584
+ "loss": 1.0866,
585
+ "step": 96
586
+ },
587
+ {
588
+ "epoch": 0.96,
589
+ "learning_rate": 0.0001,
590
+ "loss": 1.0876,
591
+ "step": 97
592
+ },
593
+ {
594
+ "epoch": 0.97,
595
+ "learning_rate": 0.0001,
596
+ "loss": 1.0782,
597
+ "step": 98
598
+ },
599
+ {
600
+ "epoch": 0.98,
601
+ "learning_rate": 0.0001,
602
+ "loss": 1.1238,
603
+ "step": 99
604
+ },
605
+ {
606
+ "epoch": 0.99,
607
+ "learning_rate": 0.0001,
608
+ "loss": 1.1197,
609
+ "step": 100
610
+ },
611
+ {
612
+ "epoch": 1.0,
613
+ "learning_rate": 0.0001,
614
+ "loss": 1.1201,
615
+ "step": 101
616
+ },
617
+ {
618
+ "epoch": 1.01,
619
+ "learning_rate": 0.0001,
620
+ "loss": 1.1238,
621
+ "step": 102
622
+ },
623
+ {
624
+ "epoch": 1.02,
625
+ "learning_rate": 0.0001,
626
+ "loss": 1.0952,
627
+ "step": 103
628
+ },
629
+ {
630
+ "epoch": 1.03,
631
+ "learning_rate": 0.0001,
632
+ "loss": 1.1007,
633
+ "step": 104
634
+ },
635
+ {
636
+ "epoch": 1.04,
637
+ "learning_rate": 0.0001,
638
+ "loss": 1.04,
639
+ "step": 105
640
+ },
641
+ {
642
+ "epoch": 1.05,
643
+ "learning_rate": 0.0001,
644
+ "loss": 1.0715,
645
+ "step": 106
646
+ },
647
+ {
648
+ "epoch": 1.06,
649
+ "learning_rate": 0.0001,
650
+ "loss": 1.1159,
651
+ "step": 107
652
+ },
653
+ {
654
+ "epoch": 1.07,
655
+ "learning_rate": 0.0001,
656
+ "loss": 1.0682,
657
+ "step": 108
658
+ },
659
+ {
660
+ "epoch": 1.08,
661
+ "learning_rate": 0.0001,
662
+ "loss": 1.0425,
663
+ "step": 109
664
+ },
665
+ {
666
+ "epoch": 1.09,
667
+ "learning_rate": 0.0001,
668
+ "loss": 1.0901,
669
+ "step": 110
670
+ },
671
+ {
672
+ "epoch": 1.1,
673
+ "learning_rate": 0.0001,
674
+ "loss": 1.0512,
675
+ "step": 111
676
+ },
677
+ {
678
+ "epoch": 1.11,
679
+ "learning_rate": 0.0001,
680
+ "loss": 1.1529,
681
+ "step": 112
682
+ },
683
+ {
684
+ "epoch": 1.12,
685
+ "learning_rate": 0.0001,
686
+ "loss": 1.0679,
687
+ "step": 113
688
+ },
689
+ {
690
+ "epoch": 1.13,
691
+ "learning_rate": 0.0001,
692
+ "loss": 1.1023,
693
+ "step": 114
694
+ },
695
+ {
696
+ "epoch": 1.14,
697
+ "learning_rate": 0.0001,
698
+ "loss": 1.088,
699
+ "step": 115
700
+ },
701
+ {
702
+ "epoch": 1.15,
703
+ "learning_rate": 0.0001,
704
+ "loss": 1.0649,
705
+ "step": 116
706
+ },
707
+ {
708
+ "epoch": 1.16,
709
+ "learning_rate": 0.0001,
710
+ "loss": 1.0941,
711
+ "step": 117
712
+ },
713
+ {
714
+ "epoch": 1.17,
715
+ "learning_rate": 0.0001,
716
+ "loss": 1.0716,
717
+ "step": 118
718
+ },
719
+ {
720
+ "epoch": 1.18,
721
+ "learning_rate": 0.0001,
722
+ "loss": 1.0754,
723
+ "step": 119
724
+ },
725
+ {
726
+ "epoch": 1.19,
727
+ "learning_rate": 0.0001,
728
+ "loss": 1.065,
729
+ "step": 120
730
+ },
731
+ {
732
+ "epoch": 1.2,
733
+ "learning_rate": 0.0001,
734
+ "loss": 1.1354,
735
+ "step": 121
736
+ },
737
+ {
738
+ "epoch": 1.21,
739
+ "learning_rate": 0.0001,
740
+ "loss": 1.1054,
741
+ "step": 122
742
+ },
743
+ {
744
+ "epoch": 1.22,
745
+ "learning_rate": 0.0001,
746
+ "loss": 1.0245,
747
+ "step": 123
748
+ },
749
+ {
750
+ "epoch": 1.23,
751
+ "learning_rate": 0.0001,
752
+ "loss": 1.0614,
753
+ "step": 124
754
+ },
755
+ {
756
+ "epoch": 1.24,
757
+ "learning_rate": 0.0001,
758
+ "loss": 1.0532,
759
+ "step": 125
760
+ },
761
+ {
762
+ "epoch": 1.25,
763
+ "learning_rate": 0.0001,
764
+ "loss": 1.0868,
765
+ "step": 126
766
+ },
767
+ {
768
+ "epoch": 1.26,
769
+ "learning_rate": 0.0001,
770
+ "loss": 1.1649,
771
+ "step": 127
772
+ },
773
+ {
774
+ "epoch": 1.27,
775
+ "learning_rate": 0.0001,
776
+ "loss": 1.0186,
777
+ "step": 128
778
+ },
779
+ {
780
+ "epoch": 1.28,
781
+ "learning_rate": 0.0001,
782
+ "loss": 1.0688,
783
+ "step": 129
784
+ },
785
+ {
786
+ "epoch": 1.29,
787
+ "learning_rate": 0.0001,
788
+ "loss": 1.1057,
789
+ "step": 130
790
+ },
791
+ {
792
+ "epoch": 1.3,
793
+ "learning_rate": 0.0001,
794
+ "loss": 1.0534,
795
+ "step": 131
796
+ },
797
+ {
798
+ "epoch": 1.31,
799
+ "learning_rate": 0.0001,
800
+ "loss": 1.0506,
801
+ "step": 132
802
+ },
803
+ {
804
+ "epoch": 1.32,
805
+ "learning_rate": 0.0001,
806
+ "loss": 1.0181,
807
+ "step": 133
808
+ },
809
+ {
810
+ "epoch": 1.33,
811
+ "learning_rate": 0.0001,
812
+ "loss": 1.0369,
813
+ "step": 134
814
+ },
815
+ {
816
+ "epoch": 1.34,
817
+ "learning_rate": 0.0001,
818
+ "loss": 1.0612,
819
+ "step": 135
820
+ },
821
+ {
822
+ "epoch": 1.35,
823
+ "learning_rate": 0.0001,
824
+ "loss": 1.0065,
825
+ "step": 136
826
+ },
827
+ {
828
+ "epoch": 1.36,
829
+ "learning_rate": 0.0001,
830
+ "loss": 1.1149,
831
+ "step": 137
832
+ },
833
+ {
834
+ "epoch": 1.37,
835
+ "learning_rate": 0.0001,
836
+ "loss": 1.0216,
837
+ "step": 138
838
+ },
839
+ {
840
+ "epoch": 1.38,
841
+ "learning_rate": 0.0001,
842
+ "loss": 1.0865,
843
+ "step": 139
844
+ },
845
+ {
846
+ "epoch": 1.39,
847
+ "learning_rate": 0.0001,
848
+ "loss": 1.045,
849
+ "step": 140
850
+ },
851
+ {
852
+ "epoch": 1.4,
853
+ "learning_rate": 0.0001,
854
+ "loss": 1.0546,
855
+ "step": 141
856
+ },
857
+ {
858
+ "epoch": 1.41,
859
+ "learning_rate": 0.0001,
860
+ "loss": 1.0261,
861
+ "step": 142
862
+ },
863
+ {
864
+ "epoch": 1.42,
865
+ "learning_rate": 0.0001,
866
+ "loss": 1.0469,
867
+ "step": 143
868
+ },
869
+ {
870
+ "epoch": 1.43,
871
+ "learning_rate": 0.0001,
872
+ "loss": 1.0539,
873
+ "step": 144
874
+ },
875
+ {
876
+ "epoch": 1.44,
877
+ "learning_rate": 0.0001,
878
+ "loss": 1.0642,
879
+ "step": 145
880
+ },
881
+ {
882
+ "epoch": 1.45,
883
+ "learning_rate": 0.0001,
884
+ "loss": 1.0249,
885
+ "step": 146
886
+ },
887
+ {
888
+ "epoch": 1.46,
889
+ "learning_rate": 0.0001,
890
+ "loss": 1.0417,
891
+ "step": 147
892
+ },
893
+ {
894
+ "epoch": 1.47,
895
+ "learning_rate": 0.0001,
896
+ "loss": 1.0303,
897
+ "step": 148
898
+ },
899
+ {
900
+ "epoch": 1.48,
901
+ "learning_rate": 0.0001,
902
+ "loss": 1.0178,
903
+ "step": 149
904
+ },
905
+ {
906
+ "epoch": 1.49,
907
+ "learning_rate": 0.0001,
908
+ "loss": 1.0421,
909
+ "step": 150
910
+ },
911
+ {
912
+ "epoch": 1.5,
913
+ "learning_rate": 0.0001,
914
+ "loss": 1.0517,
915
+ "step": 151
916
+ },
917
+ {
918
+ "epoch": 1.51,
919
+ "learning_rate": 0.0001,
920
+ "loss": 1.0381,
921
+ "step": 152
922
+ },
923
+ {
924
+ "epoch": 1.52,
925
+ "learning_rate": 0.0001,
926
+ "loss": 1.0853,
927
+ "step": 153
928
+ },
929
+ {
930
+ "epoch": 1.53,
931
+ "learning_rate": 0.0001,
932
+ "loss": 1.0763,
933
+ "step": 154
934
+ },
935
+ {
936
+ "epoch": 1.54,
937
+ "learning_rate": 0.0001,
938
+ "loss": 1.0528,
939
+ "step": 155
940
+ },
941
+ {
942
+ "epoch": 1.55,
943
+ "learning_rate": 0.0001,
944
+ "loss": 1.0962,
945
+ "step": 156
946
+ },
947
+ {
948
+ "epoch": 1.56,
949
+ "learning_rate": 0.0001,
950
+ "loss": 1.0761,
951
+ "step": 157
952
+ },
953
+ {
954
+ "epoch": 1.57,
955
+ "learning_rate": 0.0001,
956
+ "loss": 1.0543,
957
+ "step": 158
958
+ },
959
+ {
960
+ "epoch": 1.58,
961
+ "learning_rate": 0.0001,
962
+ "loss": 1.0089,
963
+ "step": 159
964
+ },
965
+ {
966
+ "epoch": 1.59,
967
+ "learning_rate": 0.0001,
968
+ "loss": 1.0861,
969
+ "step": 160
970
+ },
971
+ {
972
+ "epoch": 1.6,
973
+ "learning_rate": 0.0001,
974
+ "loss": 1.0551,
975
+ "step": 161
976
+ },
977
+ {
978
+ "epoch": 1.61,
979
+ "learning_rate": 0.0001,
980
+ "loss": 1.0146,
981
+ "step": 162
982
+ },
983
+ {
984
+ "epoch": 1.62,
985
+ "learning_rate": 0.0001,
986
+ "loss": 0.9561,
987
+ "step": 163
988
+ },
989
+ {
990
+ "epoch": 1.63,
991
+ "learning_rate": 0.0001,
992
+ "loss": 1.0837,
993
+ "step": 164
994
+ },
995
+ {
996
+ "epoch": 1.64,
997
+ "learning_rate": 0.0001,
998
+ "loss": 1.0411,
999
+ "step": 165
1000
+ },
1001
+ {
1002
+ "epoch": 1.65,
1003
+ "learning_rate": 0.0001,
1004
+ "loss": 1.0766,
1005
+ "step": 166
1006
+ },
1007
+ {
1008
+ "epoch": 1.66,
1009
+ "learning_rate": 0.0001,
1010
+ "loss": 1.054,
1011
+ "step": 167
1012
+ },
1013
+ {
1014
+ "epoch": 1.67,
1015
+ "learning_rate": 0.0001,
1016
+ "loss": 1.0396,
1017
+ "step": 168
1018
+ },
1019
+ {
1020
+ "epoch": 1.68,
1021
+ "learning_rate": 0.0001,
1022
+ "loss": 1.0601,
1023
+ "step": 169
1024
+ },
1025
+ {
1026
+ "epoch": 1.69,
1027
+ "learning_rate": 0.0001,
1028
+ "loss": 1.0557,
1029
+ "step": 170
1030
+ },
1031
+ {
1032
+ "epoch": 1.7,
1033
+ "learning_rate": 0.0001,
1034
+ "loss": 1.1022,
1035
+ "step": 171
1036
+ },
1037
+ {
1038
+ "epoch": 1.71,
1039
+ "learning_rate": 0.0001,
1040
+ "loss": 1.0822,
1041
+ "step": 172
1042
+ },
1043
+ {
1044
+ "epoch": 1.72,
1045
+ "learning_rate": 0.0001,
1046
+ "loss": 1.0694,
1047
+ "step": 173
1048
+ },
1049
+ {
1050
+ "epoch": 1.73,
1051
+ "learning_rate": 0.0001,
1052
+ "loss": 1.0565,
1053
+ "step": 174
1054
+ },
1055
+ {
1056
+ "epoch": 1.74,
1057
+ "learning_rate": 0.0001,
1058
+ "loss": 0.9616,
1059
+ "step": 175
1060
+ },
1061
+ {
1062
+ "epoch": 1.75,
1063
+ "learning_rate": 0.0001,
1064
+ "loss": 1.0701,
1065
+ "step": 176
1066
+ },
1067
+ {
1068
+ "epoch": 1.76,
1069
+ "learning_rate": 0.0001,
1070
+ "loss": 1.1148,
1071
+ "step": 177
1072
+ },
1073
+ {
1074
+ "epoch": 1.77,
1075
+ "learning_rate": 0.0001,
1076
+ "loss": 1.0168,
1077
+ "step": 178
1078
+ },
1079
+ {
1080
+ "epoch": 1.78,
1081
+ "learning_rate": 0.0001,
1082
+ "loss": 1.0451,
1083
+ "step": 179
1084
+ },
1085
+ {
1086
+ "epoch": 1.79,
1087
+ "learning_rate": 0.0001,
1088
+ "loss": 0.975,
1089
+ "step": 180
1090
+ },
1091
+ {
1092
+ "epoch": 1.8,
1093
+ "learning_rate": 0.0001,
1094
+ "loss": 1.0887,
1095
+ "step": 181
1096
+ },
1097
+ {
1098
+ "epoch": 1.81,
1099
+ "learning_rate": 0.0001,
1100
+ "loss": 0.9956,
1101
+ "step": 182
1102
+ },
1103
+ {
1104
+ "epoch": 1.82,
1105
+ "learning_rate": 0.0001,
1106
+ "loss": 1.0463,
1107
+ "step": 183
1108
+ },
1109
+ {
1110
+ "epoch": 1.83,
1111
+ "learning_rate": 0.0001,
1112
+ "loss": 1.0679,
1113
+ "step": 184
1114
+ },
1115
+ {
1116
+ "epoch": 1.84,
1117
+ "learning_rate": 0.0001,
1118
+ "loss": 0.9953,
1119
+ "step": 185
1120
+ },
1121
+ {
1122
+ "epoch": 1.85,
1123
+ "learning_rate": 0.0001,
1124
+ "loss": 1.0291,
1125
+ "step": 186
1126
+ },
1127
+ {
1128
+ "epoch": 1.86,
1129
+ "learning_rate": 0.0001,
1130
+ "loss": 1.0575,
1131
+ "step": 187
1132
+ },
1133
+ {
1134
+ "epoch": 1.87,
1135
+ "learning_rate": 0.0001,
1136
+ "loss": 1.0273,
1137
+ "step": 188
1138
+ },
1139
+ {
1140
+ "epoch": 1.88,
1141
+ "learning_rate": 0.0001,
1142
+ "loss": 1.0306,
1143
+ "step": 189
1144
+ },
1145
+ {
1146
+ "epoch": 1.89,
1147
+ "learning_rate": 0.0001,
1148
+ "loss": 0.9987,
1149
+ "step": 190
1150
+ },
1151
+ {
1152
+ "epoch": 1.9,
1153
+ "learning_rate": 0.0001,
1154
+ "loss": 0.968,
1155
+ "step": 191
1156
+ },
1157
+ {
1158
+ "epoch": 1.91,
1159
+ "learning_rate": 0.0001,
1160
+ "loss": 1.0337,
1161
+ "step": 192
1162
+ },
1163
+ {
1164
+ "epoch": 1.92,
1165
+ "learning_rate": 0.0001,
1166
+ "loss": 1.0407,
1167
+ "step": 193
1168
+ },
1169
+ {
1170
+ "epoch": 1.93,
1171
+ "learning_rate": 0.0001,
1172
+ "loss": 1.066,
1173
+ "step": 194
1174
+ },
1175
+ {
1176
+ "epoch": 1.94,
1177
+ "learning_rate": 0.0001,
1178
+ "loss": 1.0862,
1179
+ "step": 195
1180
+ },
1181
+ {
1182
+ "epoch": 1.95,
1183
+ "learning_rate": 0.0001,
1184
+ "loss": 1.0015,
1185
+ "step": 196
1186
+ },
1187
+ {
1188
+ "epoch": 1.96,
1189
+ "learning_rate": 0.0001,
1190
+ "loss": 0.9989,
1191
+ "step": 197
1192
+ },
1193
+ {
1194
+ "epoch": 1.97,
1195
+ "learning_rate": 0.0001,
1196
+ "loss": 1.0476,
1197
+ "step": 198
1198
+ },
1199
+ {
1200
+ "epoch": 1.98,
1201
+ "learning_rate": 0.0001,
1202
+ "loss": 1.0807,
1203
+ "step": 199
1204
+ },
1205
+ {
1206
+ "epoch": 1.99,
1207
+ "learning_rate": 0.0001,
1208
+ "loss": 1.051,
1209
+ "step": 200
1210
+ },
1211
+ {
1212
+ "epoch": 1.99,
1213
+ "eval_loss": 1.041513204574585,
1214
+ "eval_runtime": 16.9569,
1215
+ "eval_samples_per_second": 5.897,
1216
+ "eval_steps_per_second": 2.949,
1217
+ "step": 200
1218
+ },
1219
+ {
1220
+ "epoch": 1.99,
1221
+ "mmlu_eval_accuracy": 0.5995581000239829,
1222
+ "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
1223
+ "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
1224
+ "mmlu_eval_accuracy_astronomy": 0.8125,
1225
+ "mmlu_eval_accuracy_business_ethics": 0.6363636363636364,
1226
+ "mmlu_eval_accuracy_clinical_knowledge": 0.5862068965517241,
1227
+ "mmlu_eval_accuracy_college_biology": 0.6875,
1228
+ "mmlu_eval_accuracy_college_chemistry": 0.25,
1229
+ "mmlu_eval_accuracy_college_computer_science": 0.45454545454545453,
1230
+ "mmlu_eval_accuracy_college_mathematics": 0.45454545454545453,
1231
+ "mmlu_eval_accuracy_college_medicine": 0.6363636363636364,
1232
+ "mmlu_eval_accuracy_college_physics": 0.45454545454545453,
1233
+ "mmlu_eval_accuracy_computer_security": 0.5454545454545454,
1234
+ "mmlu_eval_accuracy_conceptual_physics": 0.46153846153846156,
1235
+ "mmlu_eval_accuracy_econometrics": 0.5833333333333334,
1236
+ "mmlu_eval_accuracy_electrical_engineering": 0.6875,
1237
+ "mmlu_eval_accuracy_elementary_mathematics": 0.4146341463414634,
1238
+ "mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
1239
+ "mmlu_eval_accuracy_global_facts": 0.3,
1240
+ "mmlu_eval_accuracy_high_school_biology": 0.5,
1241
+ "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182,
1242
+ "mmlu_eval_accuracy_high_school_computer_science": 0.6666666666666666,
1243
+ "mmlu_eval_accuracy_high_school_european_history": 0.7777777777777778,
1244
+ "mmlu_eval_accuracy_high_school_geography": 0.8181818181818182,
1245
+ "mmlu_eval_accuracy_high_school_government_and_politics": 0.7619047619047619,
1246
+ "mmlu_eval_accuracy_high_school_macroeconomics": 0.5813953488372093,
1247
+ "mmlu_eval_accuracy_high_school_mathematics": 0.3103448275862069,
1248
+ "mmlu_eval_accuracy_high_school_microeconomics": 0.6538461538461539,
1249
+ "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
1250
+ "mmlu_eval_accuracy_high_school_psychology": 0.8,
1251
+ "mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216,
1252
+ "mmlu_eval_accuracy_high_school_us_history": 0.7272727272727273,
1253
+ "mmlu_eval_accuracy_high_school_world_history": 0.6153846153846154,
1254
+ "mmlu_eval_accuracy_human_aging": 0.7391304347826086,
1255
+ "mmlu_eval_accuracy_human_sexuality": 0.5833333333333334,
1256
+ "mmlu_eval_accuracy_international_law": 0.9230769230769231,
1257
+ "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
1258
+ "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
1259
+ "mmlu_eval_accuracy_machine_learning": 0.5454545454545454,
1260
+ "mmlu_eval_accuracy_management": 0.9090909090909091,
1261
+ "mmlu_eval_accuracy_marketing": 0.88,
1262
+ "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
1263
+ "mmlu_eval_accuracy_miscellaneous": 0.7209302325581395,
1264
+ "mmlu_eval_accuracy_moral_disputes": 0.5789473684210527,
1265
+ "mmlu_eval_accuracy_moral_scenarios": 0.37,
1266
+ "mmlu_eval_accuracy_nutrition": 0.7272727272727273,
1267
+ "mmlu_eval_accuracy_philosophy": 0.7352941176470589,
1268
+ "mmlu_eval_accuracy_prehistory": 0.6,
1269
+ "mmlu_eval_accuracy_professional_accounting": 0.5806451612903226,
1270
+ "mmlu_eval_accuracy_professional_law": 0.38823529411764707,
1271
+ "mmlu_eval_accuracy_professional_medicine": 0.6451612903225806,
1272
+ "mmlu_eval_accuracy_professional_psychology": 0.6086956521739131,
1273
+ "mmlu_eval_accuracy_public_relations": 0.5,
1274
+ "mmlu_eval_accuracy_security_studies": 0.6296296296296297,
1275
+ "mmlu_eval_accuracy_sociology": 0.9545454545454546,
1276
+ "mmlu_eval_accuracy_us_foreign_policy": 0.9090909090909091,
1277
+ "mmlu_eval_accuracy_virology": 0.5555555555555556,
1278
+ "mmlu_eval_accuracy_world_religions": 0.8947368421052632,
1279
+ "mmlu_loss": 1.6184524249470265,
1280
+ "step": 200
1281
+ }
1282
+ ],
1283
+ "logging_steps": 1,
1284
+ "max_steps": 200,
1285
+ "num_train_epochs": 2,
1286
+ "save_steps": 200,
1287
+ "total_flos": 2.118635257992315e+17,
1288
+ "trial_name": null,
1289
+ "trial_params": null
1290
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9b964ecdef850c41fccfb177822a3d0c77c43ef5385dd5db94994bd92f290049
3
+ size 6456