nielsbantilan commited on
Commit
dea9756
1 Parent(s): 2671109

Upload folder using huggingface_hub

Browse files
README.md CHANGED
@@ -1,16 +1,32 @@
1
  ---
2
- datasets:
3
- - yahma/alpaca-cleaned
4
- language:
5
- - en
6
- license: apache-2.0
7
- tags:
8
- - pytorch
9
- - causal-lm
10
- - llama2
11
- - fine-tuning
12
- - alpaca
13
-
14
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15
 
16
- # Llama-2-7b fine-tuned on LoRA alpaca-cleaned
 
1
  ---
2
+ library_name: peft
 
 
 
 
 
 
 
 
 
 
 
3
  ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: float16
17
+
18
+ The following `bitsandbytes` quantization config was used during training:
19
+ - load_in_8bit: False
20
+ - load_in_4bit: True
21
+ - llm_int8_threshold: 6.0
22
+ - llm_int8_skip_modules: None
23
+ - llm_int8_enable_fp32_cpu_offload: False
24
+ - llm_int8_has_fp16_weight: False
25
+ - bnb_4bit_quant_type: nf4
26
+ - bnb_4bit_use_double_quant: True
27
+ - bnb_4bit_compute_dtype: float16
28
+ ### Framework versions
29
+
30
+ - PEFT 0.5.0.dev0
31
 
32
+ - PEFT 0.5.0.dev0
adapter_config.json CHANGED
@@ -1,4 +1,5 @@
1
  {
 
2
  "base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
3
  "bias": "none",
4
  "fan_in_fan_out": false,
 
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,
checkpoint-300/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: float16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.5.0.dev0
checkpoint-300/adapter_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 16,
11
+ "lora_dropout": 0.05,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 8,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "k_proj",
19
+ "v_proj"
20
+ ],
21
+ "task_type": "CAUSAL_LM"
22
+ }
checkpoint-300/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e5e1621f48d9ad8feb1d6d31050275f0aafd080c5c07153301fe2f48411f4406
3
+ size 443
checkpoint-300/adapter_model/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: float16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.5.0.dev0
checkpoint-300/adapter_model/adapter_config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 16,
11
+ "lora_dropout": 0.05,
12
+ "modules_to_save": null,
13
+ "peft_type": "LORA",
14
+ "r": 8,
15
+ "revision": null,
16
+ "target_modules": [
17
+ "q_proj",
18
+ "k_proj",
19
+ "v_proj"
20
+ ],
21
+ "task_type": "CAUSAL_LM"
22
+ }
checkpoint-300/adapter_model/adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e5e1621f48d9ad8feb1d6d31050275f0aafd080c5c07153301fe2f48411f4406
3
+ size 443
checkpoint-300/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e194624690ed5347b1ee38663cafe4b90219064eeee73e8e90240e169d1c7a5
3
+ size 12849093
checkpoint-300/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:426b6985726cfa57b10a2ceb7852c6f85a389e9facba42145b01426ab7c985a4
3
+ size 14575
checkpoint-300/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9850941e7721c4485c4be6cdc71482f604e4a686e50a540c13dcd9ef580d226b
3
+ size 627
checkpoint-300/trainer_state.json ADDED
@@ -0,0 +1,1816 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.04636785162287481,
5
+ "global_step": 300,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 3.333333333333333e-07,
13
+ "loss": 1.2235,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.0,
18
+ "learning_rate": 6.666666666666666e-07,
19
+ "loss": 1.1855,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 0.0,
24
+ "learning_rate": 1e-06,
25
+ "loss": 1.0787,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 0.0,
30
+ "learning_rate": 1.3333333333333332e-06,
31
+ "loss": 1.2554,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 0.0,
36
+ "learning_rate": 1.6666666666666669e-06,
37
+ "loss": 1.303,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 0.0,
42
+ "learning_rate": 2e-06,
43
+ "loss": 1.3766,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 0.0,
48
+ "learning_rate": 2.3333333333333336e-06,
49
+ "loss": 1.3295,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 0.0,
54
+ "learning_rate": 2.6666666666666664e-06,
55
+ "loss": 1.4096,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 0.0,
60
+ "learning_rate": 3e-06,
61
+ "loss": 1.2782,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 0.0,
66
+ "learning_rate": 2.9999125880491853e-06,
67
+ "loss": 1.3555,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 0.0,
72
+ "learning_rate": 2.9996503623845394e-06,
73
+ "loss": 1.4765,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 0.0,
78
+ "learning_rate": 2.9992133535682728e-06,
79
+ "loss": 1.4239,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 0.0,
84
+ "learning_rate": 2.998601612533441e-06,
85
+ "loss": 1.4622,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 0.0,
90
+ "learning_rate": 2.9978152105780155e-06,
91
+ "loss": 1.5584,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 0.0,
96
+ "learning_rate": 2.9968542393565676e-06,
97
+ "loss": 1.4483,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 0.0,
102
+ "learning_rate": 2.9957188108695897e-06,
103
+ "loss": 1.6347,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 0.0,
108
+ "learning_rate": 2.99440905745044e-06,
109
+ "loss": 1.5348,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 0.0,
114
+ "learning_rate": 2.992925131749921e-06,
115
+ "loss": 1.6787,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 0.0,
120
+ "learning_rate": 2.9912672067184863e-06,
121
+ "loss": 1.6322,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 0.0,
126
+ "learning_rate": 2.9894354755860847e-06,
127
+ "loss": 1.6904,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 0.0,
132
+ "learning_rate": 2.9874301518396377e-06,
133
+ "loss": 1.5149,
134
+ "step": 21
135
+ },
136
+ {
137
+ "epoch": 0.0,
138
+ "learning_rate": 2.98525146919816e-06,
139
+ "loss": 1.6881,
140
+ "step": 22
141
+ },
142
+ {
143
+ "epoch": 0.0,
144
+ "learning_rate": 2.982899681585518e-06,
145
+ "loss": 1.8038,
146
+ "step": 23
147
+ },
148
+ {
149
+ "epoch": 0.0,
150
+ "learning_rate": 2.980375063100836e-06,
151
+ "loss": 1.7428,
152
+ "step": 24
153
+ },
154
+ {
155
+ "epoch": 0.0,
156
+ "learning_rate": 2.9776779079865498e-06,
157
+ "loss": 1.8379,
158
+ "step": 25
159
+ },
160
+ {
161
+ "epoch": 0.0,
162
+ "learning_rate": 2.9748085305941124e-06,
163
+ "loss": 1.8679,
164
+ "step": 26
165
+ },
166
+ {
167
+ "epoch": 0.0,
168
+ "learning_rate": 2.9717672653473587e-06,
169
+ "loss": 1.8585,
170
+ "step": 27
171
+ },
172
+ {
173
+ "epoch": 0.0,
174
+ "learning_rate": 2.9685544667035257e-06,
175
+ "loss": 1.787,
176
+ "step": 28
177
+ },
178
+ {
179
+ "epoch": 0.0,
180
+ "learning_rate": 2.9651705091119422e-06,
181
+ "loss": 1.9908,
182
+ "step": 29
183
+ },
184
+ {
185
+ "epoch": 0.0,
186
+ "learning_rate": 2.9616157869703894e-06,
187
+ "loss": 2.0559,
188
+ "step": 30
189
+ },
190
+ {
191
+ "epoch": 0.0,
192
+ "learning_rate": 2.957890714579128e-06,
193
+ "loss": 2.1067,
194
+ "step": 31
195
+ },
196
+ {
197
+ "epoch": 0.0,
198
+ "learning_rate": 2.9539957260926184e-06,
199
+ "loss": 2.1172,
200
+ "step": 32
201
+ },
202
+ {
203
+ "epoch": 0.01,
204
+ "learning_rate": 2.949931275468917e-06,
205
+ "loss": 2.06,
206
+ "step": 33
207
+ },
208
+ {
209
+ "epoch": 0.01,
210
+ "learning_rate": 2.9456978364167667e-06,
211
+ "loss": 2.2804,
212
+ "step": 34
213
+ },
214
+ {
215
+ "epoch": 0.01,
216
+ "learning_rate": 2.9412959023403906e-06,
217
+ "loss": 2.3487,
218
+ "step": 35
219
+ },
220
+ {
221
+ "epoch": 0.01,
222
+ "learning_rate": 2.9367259862819805e-06,
223
+ "loss": 2.3993,
224
+ "step": 36
225
+ },
226
+ {
227
+ "epoch": 0.01,
228
+ "learning_rate": 2.931988620861908e-06,
229
+ "loss": 2.4545,
230
+ "step": 37
231
+ },
232
+ {
233
+ "epoch": 0.01,
234
+ "learning_rate": 2.9270843582166428e-06,
235
+ "loss": 2.3358,
236
+ "step": 38
237
+ },
238
+ {
239
+ "epoch": 0.01,
240
+ "learning_rate": 2.9220137699344057e-06,
241
+ "loss": 2.4548,
242
+ "step": 39
243
+ },
244
+ {
245
+ "epoch": 0.01,
246
+ "learning_rate": 2.9167774469885483e-06,
247
+ "loss": 2.4675,
248
+ "step": 40
249
+ },
250
+ {
251
+ "epoch": 0.01,
252
+ "learning_rate": 2.911375999668675e-06,
253
+ "loss": 2.468,
254
+ "step": 41
255
+ },
256
+ {
257
+ "epoch": 0.01,
258
+ "learning_rate": 2.905810057509516e-06,
259
+ "loss": 2.3514,
260
+ "step": 42
261
+ },
262
+ {
263
+ "epoch": 0.01,
264
+ "learning_rate": 2.900080269217554e-06,
265
+ "loss": 2.5067,
266
+ "step": 43
267
+ },
268
+ {
269
+ "epoch": 0.01,
270
+ "learning_rate": 2.8941873025954193e-06,
271
+ "loss": 2.5034,
272
+ "step": 44
273
+ },
274
+ {
275
+ "epoch": 0.01,
276
+ "learning_rate": 2.8881318444640566e-06,
277
+ "loss": 2.5753,
278
+ "step": 45
279
+ },
280
+ {
281
+ "epoch": 0.01,
282
+ "learning_rate": 2.881914600582677e-06,
283
+ "loss": 2.5559,
284
+ "step": 46
285
+ },
286
+ {
287
+ "epoch": 0.01,
288
+ "learning_rate": 2.8755362955665014e-06,
289
+ "loss": 2.7476,
290
+ "step": 47
291
+ },
292
+ {
293
+ "epoch": 0.01,
294
+ "learning_rate": 2.8689976728023105e-06,
295
+ "loss": 2.6816,
296
+ "step": 48
297
+ },
298
+ {
299
+ "epoch": 0.01,
300
+ "learning_rate": 2.8622994943617984e-06,
301
+ "loss": 2.7578,
302
+ "step": 49
303
+ },
304
+ {
305
+ "epoch": 0.01,
306
+ "learning_rate": 2.855442540912758e-06,
307
+ "loss": 2.8156,
308
+ "step": 50
309
+ },
310
+ {
311
+ "epoch": 0.01,
312
+ "learning_rate": 2.848427611628093e-06,
313
+ "loss": 1.1719,
314
+ "step": 51
315
+ },
316
+ {
317
+ "epoch": 0.01,
318
+ "learning_rate": 2.8412555240926745e-06,
319
+ "loss": 1.189,
320
+ "step": 52
321
+ },
322
+ {
323
+ "epoch": 0.01,
324
+ "learning_rate": 2.8339271142080537e-06,
325
+ "loss": 1.0689,
326
+ "step": 53
327
+ },
328
+ {
329
+ "epoch": 0.01,
330
+ "learning_rate": 2.8264432360950353e-06,
331
+ "loss": 1.1861,
332
+ "step": 54
333
+ },
334
+ {
335
+ "epoch": 0.01,
336
+ "learning_rate": 2.8188047619941344e-06,
337
+ "loss": 1.2506,
338
+ "step": 55
339
+ },
340
+ {
341
+ "epoch": 0.01,
342
+ "learning_rate": 2.8110125821639135e-06,
343
+ "loss": 1.2313,
344
+ "step": 56
345
+ },
346
+ {
347
+ "epoch": 0.01,
348
+ "learning_rate": 2.803067604777227e-06,
349
+ "loss": 1.1761,
350
+ "step": 57
351
+ },
352
+ {
353
+ "epoch": 0.01,
354
+ "learning_rate": 2.7949707558153703e-06,
355
+ "loss": 1.2601,
356
+ "step": 58
357
+ },
358
+ {
359
+ "epoch": 0.01,
360
+ "learning_rate": 2.7867229789601615e-06,
361
+ "loss": 1.364,
362
+ "step": 59
363
+ },
364
+ {
365
+ "epoch": 0.01,
366
+ "learning_rate": 2.778325235483954e-06,
367
+ "loss": 1.3515,
368
+ "step": 60
369
+ },
370
+ {
371
+ "epoch": 0.01,
372
+ "learning_rate": 2.7697785041376006e-06,
373
+ "loss": 1.3414,
374
+ "step": 61
375
+ },
376
+ {
377
+ "epoch": 0.01,
378
+ "learning_rate": 2.7610837810363814e-06,
379
+ "loss": 1.2057,
380
+ "step": 62
381
+ },
382
+ {
383
+ "epoch": 0.01,
384
+ "learning_rate": 2.752242079543907e-06,
385
+ "loss": 1.404,
386
+ "step": 63
387
+ },
388
+ {
389
+ "epoch": 0.01,
390
+ "learning_rate": 2.743254430154012e-06,
391
+ "loss": 1.3719,
392
+ "step": 64
393
+ },
394
+ {
395
+ "epoch": 0.01,
396
+ "learning_rate": 2.734121880370652e-06,
397
+ "loss": 1.4479,
398
+ "step": 65
399
+ },
400
+ {
401
+ "epoch": 0.01,
402
+ "learning_rate": 2.7248454945858163e-06,
403
+ "loss": 1.4983,
404
+ "step": 66
405
+ },
406
+ {
407
+ "epoch": 0.01,
408
+ "learning_rate": 2.7154263539554765e-06,
409
+ "loss": 1.477,
410
+ "step": 67
411
+ },
412
+ {
413
+ "epoch": 0.01,
414
+ "learning_rate": 2.7058655562735753e-06,
415
+ "loss": 1.5738,
416
+ "step": 68
417
+ },
418
+ {
419
+ "epoch": 0.01,
420
+ "learning_rate": 2.696164215844081e-06,
421
+ "loss": 1.635,
422
+ "step": 69
423
+ },
424
+ {
425
+ "epoch": 0.01,
426
+ "learning_rate": 2.6863234633511186e-06,
427
+ "loss": 1.541,
428
+ "step": 70
429
+ },
430
+ {
431
+ "epoch": 0.01,
432
+ "learning_rate": 2.6763444457271836e-06,
433
+ "loss": 1.6623,
434
+ "step": 71
435
+ },
436
+ {
437
+ "epoch": 0.01,
438
+ "learning_rate": 2.666228326019474e-06,
439
+ "loss": 1.7319,
440
+ "step": 72
441
+ },
442
+ {
443
+ "epoch": 0.01,
444
+ "learning_rate": 2.655976283254334e-06,
445
+ "loss": 1.6835,
446
+ "step": 73
447
+ },
448
+ {
449
+ "epoch": 0.01,
450
+ "learning_rate": 2.6455895122998405e-06,
451
+ "loss": 1.7268,
452
+ "step": 74
453
+ },
454
+ {
455
+ "epoch": 0.01,
456
+ "learning_rate": 2.6350692237265428e-06,
457
+ "loss": 1.7661,
458
+ "step": 75
459
+ },
460
+ {
461
+ "epoch": 0.01,
462
+ "learning_rate": 2.624416643666371e-06,
463
+ "loss": 1.6734,
464
+ "step": 76
465
+ },
466
+ {
467
+ "epoch": 0.01,
468
+ "learning_rate": 2.6136330136697304e-06,
469
+ "loss": 1.802,
470
+ "step": 77
471
+ },
472
+ {
473
+ "epoch": 0.01,
474
+ "learning_rate": 2.602719590560801e-06,
475
+ "loss": 1.8868,
476
+ "step": 78
477
+ },
478
+ {
479
+ "epoch": 0.01,
480
+ "learning_rate": 2.591677646291054e-06,
481
+ "loss": 1.785,
482
+ "step": 79
483
+ },
484
+ {
485
+ "epoch": 0.01,
486
+ "learning_rate": 2.58050846779101e-06,
487
+ "loss": 2.0649,
488
+ "step": 80
489
+ },
490
+ {
491
+ "epoch": 0.01,
492
+ "learning_rate": 2.569213356820244e-06,
493
+ "loss": 1.9862,
494
+ "step": 81
495
+ },
496
+ {
497
+ "epoch": 0.01,
498
+ "learning_rate": 2.557793629815669e-06,
499
+ "loss": 2.062,
500
+ "step": 82
501
+ },
502
+ {
503
+ "epoch": 0.01,
504
+ "learning_rate": 2.5462506177381045e-06,
505
+ "loss": 1.9782,
506
+ "step": 83
507
+ },
508
+ {
509
+ "epoch": 0.01,
510
+ "learning_rate": 2.5345856659171565e-06,
511
+ "loss": 2.1214,
512
+ "step": 84
513
+ },
514
+ {
515
+ "epoch": 0.01,
516
+ "learning_rate": 2.522800133894418e-06,
517
+ "loss": 2.3212,
518
+ "step": 85
519
+ },
520
+ {
521
+ "epoch": 0.01,
522
+ "learning_rate": 2.510895395265016e-06,
523
+ "loss": 2.2857,
524
+ "step": 86
525
+ },
526
+ {
527
+ "epoch": 0.01,
528
+ "learning_rate": 2.498872837517522e-06,
529
+ "loss": 2.1979,
530
+ "step": 87
531
+ },
532
+ {
533
+ "epoch": 0.01,
534
+ "learning_rate": 2.486733861872236e-06,
535
+ "loss": 2.332,
536
+ "step": 88
537
+ },
538
+ {
539
+ "epoch": 0.01,
540
+ "learning_rate": 2.4744798831178817e-06,
541
+ "loss": 2.3778,
542
+ "step": 89
543
+ },
544
+ {
545
+ "epoch": 0.01,
546
+ "learning_rate": 2.4621123294467098e-06,
547
+ "loss": 2.3099,
548
+ "step": 90
549
+ },
550
+ {
551
+ "epoch": 0.01,
552
+ "learning_rate": 2.449632642288045e-06,
553
+ "loss": 2.4029,
554
+ "step": 91
555
+ },
556
+ {
557
+ "epoch": 0.01,
558
+ "learning_rate": 2.437042276140287e-06,
559
+ "loss": 2.5416,
560
+ "step": 92
561
+ },
562
+ {
563
+ "epoch": 0.01,
564
+ "learning_rate": 2.424342698401391e-06,
565
+ "loss": 2.531,
566
+ "step": 93
567
+ },
568
+ {
569
+ "epoch": 0.01,
570
+ "learning_rate": 2.4115353891978432e-06,
571
+ "loss": 2.4672,
572
+ "step": 94
573
+ },
574
+ {
575
+ "epoch": 0.01,
576
+ "learning_rate": 2.398621841212154e-06,
577
+ "loss": 2.4891,
578
+ "step": 95
579
+ },
580
+ {
581
+ "epoch": 0.01,
582
+ "learning_rate": 2.3856035595088842e-06,
583
+ "loss": 2.5826,
584
+ "step": 96
585
+ },
586
+ {
587
+ "epoch": 0.01,
588
+ "learning_rate": 2.372482061359234e-06,
589
+ "loss": 2.5583,
590
+ "step": 97
591
+ },
592
+ {
593
+ "epoch": 0.02,
594
+ "learning_rate": 2.3592588760642046e-06,
595
+ "loss": 2.5609,
596
+ "step": 98
597
+ },
598
+ {
599
+ "epoch": 0.02,
600
+ "learning_rate": 2.34593554477636e-06,
601
+ "loss": 2.6917,
602
+ "step": 99
603
+ },
604
+ {
605
+ "epoch": 0.02,
606
+ "learning_rate": 2.332513620320205e-06,
607
+ "loss": 2.6746,
608
+ "step": 100
609
+ },
610
+ {
611
+ "epoch": 0.02,
612
+ "learning_rate": 2.318994667011207e-06,
613
+ "loss": 1.0723,
614
+ "step": 101
615
+ },
616
+ {
617
+ "epoch": 0.02,
618
+ "learning_rate": 2.305380260473476e-06,
619
+ "loss": 1.1946,
620
+ "step": 102
621
+ },
622
+ {
623
+ "epoch": 0.02,
624
+ "learning_rate": 2.2916719874561227e-06,
625
+ "loss": 1.1031,
626
+ "step": 103
627
+ },
628
+ {
629
+ "epoch": 0.02,
630
+ "learning_rate": 2.277871445648332e-06,
631
+ "loss": 1.2431,
632
+ "step": 104
633
+ },
634
+ {
635
+ "epoch": 0.02,
636
+ "learning_rate": 2.2639802434931445e-06,
637
+ "loss": 1.1853,
638
+ "step": 105
639
+ },
640
+ {
641
+ "epoch": 0.02,
642
+ "learning_rate": 2.25e-06,
643
+ "loss": 1.3308,
644
+ "step": 106
645
+ },
646
+ {
647
+ "epoch": 0.02,
648
+ "learning_rate": 2.2359323445560408e-06,
649
+ "loss": 1.2904,
650
+ "step": 107
651
+ },
652
+ {
653
+ "epoch": 0.02,
654
+ "learning_rate": 2.221778916736208e-06,
655
+ "loss": 1.338,
656
+ "step": 108
657
+ },
658
+ {
659
+ "epoch": 0.02,
660
+ "learning_rate": 2.2075413661121492e-06,
661
+ "loss": 1.1788,
662
+ "step": 109
663
+ },
664
+ {
665
+ "epoch": 0.02,
666
+ "learning_rate": 2.1932213520599652e-06,
667
+ "loss": 1.2099,
668
+ "step": 110
669
+ },
670
+ {
671
+ "epoch": 0.02,
672
+ "learning_rate": 2.1788205435668085e-06,
673
+ "loss": 1.3613,
674
+ "step": 111
675
+ },
676
+ {
677
+ "epoch": 0.02,
678
+ "learning_rate": 2.1643406190363625e-06,
679
+ "loss": 1.3139,
680
+ "step": 112
681
+ },
682
+ {
683
+ "epoch": 0.02,
684
+ "learning_rate": 2.1497832660932298e-06,
685
+ "loss": 1.3749,
686
+ "step": 113
687
+ },
688
+ {
689
+ "epoch": 0.02,
690
+ "learning_rate": 2.135150181386236e-06,
691
+ "loss": 1.3537,
692
+ "step": 114
693
+ },
694
+ {
695
+ "epoch": 0.02,
696
+ "learning_rate": 2.1204430703906874e-06,
697
+ "loss": 1.4139,
698
+ "step": 115
699
+ },
700
+ {
701
+ "epoch": 0.02,
702
+ "learning_rate": 2.1056636472096025e-06,
703
+ "loss": 1.5552,
704
+ "step": 116
705
+ },
706
+ {
707
+ "epoch": 0.02,
708
+ "learning_rate": 2.090813634373931e-06,
709
+ "loss": 1.5982,
710
+ "step": 117
711
+ },
712
+ {
713
+ "epoch": 0.02,
714
+ "learning_rate": 2.0758947626417945e-06,
715
+ "loss": 1.5037,
716
+ "step": 118
717
+ },
718
+ {
719
+ "epoch": 0.02,
720
+ "learning_rate": 2.060908770796769e-06,
721
+ "loss": 1.6662,
722
+ "step": 119
723
+ },
724
+ {
725
+ "epoch": 0.02,
726
+ "learning_rate": 2.0458574054452316e-06,
727
+ "loss": 1.5392,
728
+ "step": 120
729
+ },
730
+ {
731
+ "epoch": 0.02,
732
+ "learning_rate": 2.0307424208127912e-06,
733
+ "loss": 1.6647,
734
+ "step": 121
735
+ },
736
+ {
737
+ "epoch": 0.02,
738
+ "learning_rate": 2.0155655785398396e-06,
739
+ "loss": 1.6124,
740
+ "step": 122
741
+ },
742
+ {
743
+ "epoch": 0.02,
744
+ "learning_rate": 2.000328647476231e-06,
745
+ "loss": 1.674,
746
+ "step": 123
747
+ },
748
+ {
749
+ "epoch": 0.02,
750
+ "learning_rate": 1.985033403475123e-06,
751
+ "loss": 1.674,
752
+ "step": 124
753
+ },
754
+ {
755
+ "epoch": 0.02,
756
+ "learning_rate": 1.969681629186004e-06,
757
+ "loss": 1.6071,
758
+ "step": 125
759
+ },
760
+ {
761
+ "epoch": 0.02,
762
+ "learning_rate": 1.954275113846926e-06,
763
+ "loss": 1.7843,
764
+ "step": 126
765
+ },
766
+ {
767
+ "epoch": 0.02,
768
+ "learning_rate": 1.9388156530759715e-06,
769
+ "loss": 1.8194,
770
+ "step": 127
771
+ },
772
+ {
773
+ "epoch": 0.02,
774
+ "learning_rate": 1.9233050486619715e-06,
775
+ "loss": 1.7772,
776
+ "step": 128
777
+ },
778
+ {
779
+ "epoch": 0.02,
780
+ "learning_rate": 1.9077451083545143e-06,
781
+ "loss": 1.8367,
782
+ "step": 129
783
+ },
784
+ {
785
+ "epoch": 0.02,
786
+ "learning_rate": 1.8921376456532485e-06,
787
+ "loss": 1.9344,
788
+ "step": 130
789
+ },
790
+ {
791
+ "epoch": 0.02,
792
+ "learning_rate": 1.8764844795965232e-06,
793
+ "loss": 1.8485,
794
+ "step": 131
795
+ },
796
+ {
797
+ "epoch": 0.02,
798
+ "learning_rate": 1.8607874345493807e-06,
799
+ "loss": 1.9676,
800
+ "step": 132
801
+ },
802
+ {
803
+ "epoch": 0.02,
804
+ "learning_rate": 1.8450483399909265e-06,
805
+ "loss": 1.9576,
806
+ "step": 133
807
+ },
808
+ {
809
+ "epoch": 0.02,
810
+ "learning_rate": 1.8292690303011076e-06,
811
+ "loss": 2.1381,
812
+ "step": 134
813
+ },
814
+ {
815
+ "epoch": 0.02,
816
+ "learning_rate": 1.813451344546913e-06,
817
+ "loss": 2.2337,
818
+ "step": 135
819
+ },
820
+ {
821
+ "epoch": 0.02,
822
+ "learning_rate": 1.7975971262680348e-06,
823
+ "loss": 2.2179,
824
+ "step": 136
825
+ },
826
+ {
827
+ "epoch": 0.02,
828
+ "learning_rate": 1.7817082232620054e-06,
829
+ "loss": 2.3267,
830
+ "step": 137
831
+ },
832
+ {
833
+ "epoch": 0.02,
834
+ "learning_rate": 1.7657864873688345e-06,
835
+ "loss": 2.2561,
836
+ "step": 138
837
+ },
838
+ {
839
+ "epoch": 0.02,
840
+ "learning_rate": 1.7498337742551817e-06,
841
+ "loss": 2.3142,
842
+ "step": 139
843
+ },
844
+ {
845
+ "epoch": 0.02,
846
+ "learning_rate": 1.7338519431980798e-06,
847
+ "loss": 2.428,
848
+ "step": 140
849
+ },
850
+ {
851
+ "epoch": 0.02,
852
+ "learning_rate": 1.7178428568682356e-06,
853
+ "loss": 2.4711,
854
+ "step": 141
855
+ },
856
+ {
857
+ "epoch": 0.02,
858
+ "learning_rate": 1.701808381112938e-06,
859
+ "loss": 2.4576,
860
+ "step": 142
861
+ },
862
+ {
863
+ "epoch": 0.02,
864
+ "learning_rate": 1.6857503847385956e-06,
865
+ "loss": 2.4396,
866
+ "step": 143
867
+ },
868
+ {
869
+ "epoch": 0.02,
870
+ "learning_rate": 1.6696707392929268e-06,
871
+ "loss": 2.4912,
872
+ "step": 144
873
+ },
874
+ {
875
+ "epoch": 0.02,
876
+ "learning_rate": 1.653571318846834e-06,
877
+ "loss": 2.5406,
878
+ "step": 145
879
+ },
880
+ {
881
+ "epoch": 0.02,
882
+ "learning_rate": 1.6374539997759822e-06,
883
+ "loss": 2.5187,
884
+ "step": 146
885
+ },
886
+ {
887
+ "epoch": 0.02,
888
+ "learning_rate": 1.6213206605421064e-06,
889
+ "loss": 2.4131,
890
+ "step": 147
891
+ },
892
+ {
893
+ "epoch": 0.02,
894
+ "learning_rate": 1.605173181474081e-06,
895
+ "loss": 2.5484,
896
+ "step": 148
897
+ },
898
+ {
899
+ "epoch": 0.02,
900
+ "learning_rate": 1.5890134445487679e-06,
901
+ "loss": 2.4955,
902
+ "step": 149
903
+ },
904
+ {
905
+ "epoch": 0.02,
906
+ "learning_rate": 1.5728433331716726e-06,
907
+ "loss": 2.6633,
908
+ "step": 150
909
+ },
910
+ {
911
+ "epoch": 0.02,
912
+ "learning_rate": 1.5566647319574351e-06,
913
+ "loss": 1.0591,
914
+ "step": 151
915
+ },
916
+ {
917
+ "epoch": 0.02,
918
+ "learning_rate": 1.5404795265101808e-06,
919
+ "loss": 1.2533,
920
+ "step": 152
921
+ },
922
+ {
923
+ "epoch": 0.02,
924
+ "learning_rate": 1.5242896032037523e-06,
925
+ "loss": 1.1398,
926
+ "step": 153
927
+ },
928
+ {
929
+ "epoch": 0.02,
930
+ "learning_rate": 1.5080968489618567e-06,
931
+ "loss": 1.1983,
932
+ "step": 154
933
+ },
934
+ {
935
+ "epoch": 0.02,
936
+ "learning_rate": 1.4919031510381438e-06,
937
+ "loss": 1.2219,
938
+ "step": 155
939
+ },
940
+ {
941
+ "epoch": 0.02,
942
+ "learning_rate": 1.4757103967962477e-06,
943
+ "loss": 1.2204,
944
+ "step": 156
945
+ },
946
+ {
947
+ "epoch": 0.02,
948
+ "learning_rate": 1.4595204734898199e-06,
949
+ "loss": 1.2667,
950
+ "step": 157
951
+ },
952
+ {
953
+ "epoch": 0.02,
954
+ "learning_rate": 1.4433352680425654e-06,
955
+ "loss": 1.1853,
956
+ "step": 158
957
+ },
958
+ {
959
+ "epoch": 0.02,
960
+ "learning_rate": 1.4271566668283281e-06,
961
+ "loss": 1.2905,
962
+ "step": 159
963
+ },
964
+ {
965
+ "epoch": 0.02,
966
+ "learning_rate": 1.410986555451232e-06,
967
+ "loss": 1.4073,
968
+ "step": 160
969
+ },
970
+ {
971
+ "epoch": 0.02,
972
+ "learning_rate": 1.3948268185259188e-06,
973
+ "loss": 1.3725,
974
+ "step": 161
975
+ },
976
+ {
977
+ "epoch": 0.03,
978
+ "learning_rate": 1.3786793394578939e-06,
979
+ "loss": 1.3658,
980
+ "step": 162
981
+ },
982
+ {
983
+ "epoch": 0.03,
984
+ "learning_rate": 1.362546000224018e-06,
985
+ "loss": 1.3991,
986
+ "step": 163
987
+ },
988
+ {
989
+ "epoch": 0.03,
990
+ "learning_rate": 1.3464286811531663e-06,
991
+ "loss": 1.3649,
992
+ "step": 164
993
+ },
994
+ {
995
+ "epoch": 0.03,
996
+ "learning_rate": 1.3303292607070737e-06,
997
+ "loss": 1.4877,
998
+ "step": 165
999
+ },
1000
+ {
1001
+ "epoch": 0.03,
1002
+ "learning_rate": 1.314249615261405e-06,
1003
+ "loss": 1.4299,
1004
+ "step": 166
1005
+ },
1006
+ {
1007
+ "epoch": 0.03,
1008
+ "learning_rate": 1.2981916188870622e-06,
1009
+ "loss": 1.3683,
1010
+ "step": 167
1011
+ },
1012
+ {
1013
+ "epoch": 0.03,
1014
+ "learning_rate": 1.282157143131765e-06,
1015
+ "loss": 1.473,
1016
+ "step": 168
1017
+ },
1018
+ {
1019
+ "epoch": 0.03,
1020
+ "learning_rate": 1.2661480568019203e-06,
1021
+ "loss": 1.5913,
1022
+ "step": 169
1023
+ },
1024
+ {
1025
+ "epoch": 0.03,
1026
+ "learning_rate": 1.2501662257448184e-06,
1027
+ "loss": 1.5045,
1028
+ "step": 170
1029
+ },
1030
+ {
1031
+ "epoch": 0.03,
1032
+ "learning_rate": 1.234213512631166e-06,
1033
+ "loss": 1.5012,
1034
+ "step": 171
1035
+ },
1036
+ {
1037
+ "epoch": 0.03,
1038
+ "learning_rate": 1.218291776737995e-06,
1039
+ "loss": 1.5784,
1040
+ "step": 172
1041
+ },
1042
+ {
1043
+ "epoch": 0.03,
1044
+ "learning_rate": 1.2024028737319653e-06,
1045
+ "loss": 1.5583,
1046
+ "step": 173
1047
+ },
1048
+ {
1049
+ "epoch": 0.03,
1050
+ "learning_rate": 1.1865486554530874e-06,
1051
+ "loss": 1.7044,
1052
+ "step": 174
1053
+ },
1054
+ {
1055
+ "epoch": 0.03,
1056
+ "learning_rate": 1.170730969698893e-06,
1057
+ "loss": 1.7103,
1058
+ "step": 175
1059
+ },
1060
+ {
1061
+ "epoch": 0.03,
1062
+ "learning_rate": 1.154951660009074e-06,
1063
+ "loss": 1.9039,
1064
+ "step": 176
1065
+ },
1066
+ {
1067
+ "epoch": 0.03,
1068
+ "learning_rate": 1.13921256545062e-06,
1069
+ "loss": 1.8563,
1070
+ "step": 177
1071
+ },
1072
+ {
1073
+ "epoch": 0.03,
1074
+ "learning_rate": 1.1235155204034768e-06,
1075
+ "loss": 1.6943,
1076
+ "step": 178
1077
+ },
1078
+ {
1079
+ "epoch": 0.03,
1080
+ "learning_rate": 1.1078623543467518e-06,
1081
+ "loss": 1.8663,
1082
+ "step": 179
1083
+ },
1084
+ {
1085
+ "epoch": 0.03,
1086
+ "learning_rate": 1.0922548916454855e-06,
1087
+ "loss": 1.8081,
1088
+ "step": 180
1089
+ },
1090
+ {
1091
+ "epoch": 0.03,
1092
+ "learning_rate": 1.0766949513380286e-06,
1093
+ "loss": 1.7813,
1094
+ "step": 181
1095
+ },
1096
+ {
1097
+ "epoch": 0.03,
1098
+ "learning_rate": 1.061184346924029e-06,
1099
+ "loss": 2.0464,
1100
+ "step": 182
1101
+ },
1102
+ {
1103
+ "epoch": 0.03,
1104
+ "learning_rate": 1.0457248861530742e-06,
1105
+ "loss": 1.9243,
1106
+ "step": 183
1107
+ },
1108
+ {
1109
+ "epoch": 0.03,
1110
+ "learning_rate": 1.0303183708139966e-06,
1111
+ "loss": 1.9261,
1112
+ "step": 184
1113
+ },
1114
+ {
1115
+ "epoch": 0.03,
1116
+ "learning_rate": 1.0149665965248775e-06,
1117
+ "loss": 2.3096,
1118
+ "step": 185
1119
+ },
1120
+ {
1121
+ "epoch": 0.03,
1122
+ "learning_rate": 9.996713525237694e-07,
1123
+ "loss": 2.2348,
1124
+ "step": 186
1125
+ },
1126
+ {
1127
+ "epoch": 0.03,
1128
+ "learning_rate": 9.8443442146016e-07,
1129
+ "loss": 2.1942,
1130
+ "step": 187
1131
+ },
1132
+ {
1133
+ "epoch": 0.03,
1134
+ "learning_rate": 9.69257579187209e-07,
1135
+ "loss": 2.2085,
1136
+ "step": 188
1137
+ },
1138
+ {
1139
+ "epoch": 0.03,
1140
+ "learning_rate": 9.54142594554769e-07,
1141
+ "loss": 2.2091,
1142
+ "step": 189
1143
+ },
1144
+ {
1145
+ "epoch": 0.03,
1146
+ "learning_rate": 9.39091229203231e-07,
1147
+ "loss": 2.1674,
1148
+ "step": 190
1149
+ },
1150
+ {
1151
+ "epoch": 0.03,
1152
+ "learning_rate": 9.241052373582058e-07,
1153
+ "loss": 2.2736,
1154
+ "step": 191
1155
+ },
1156
+ {
1157
+ "epoch": 0.03,
1158
+ "learning_rate": 9.091863656260696e-07,
1159
+ "loss": 2.2478,
1160
+ "step": 192
1161
+ },
1162
+ {
1163
+ "epoch": 0.03,
1164
+ "learning_rate": 8.943363527903977e-07,
1165
+ "loss": 2.3178,
1166
+ "step": 193
1167
+ },
1168
+ {
1169
+ "epoch": 0.03,
1170
+ "learning_rate": 8.795569296093133e-07,
1171
+ "loss": 2.398,
1172
+ "step": 194
1173
+ },
1174
+ {
1175
+ "epoch": 0.03,
1176
+ "learning_rate": 8.648498186137653e-07,
1177
+ "loss": 2.489,
1178
+ "step": 195
1179
+ },
1180
+ {
1181
+ "epoch": 0.03,
1182
+ "learning_rate": 8.502167339067705e-07,
1183
+ "loss": 2.3547,
1184
+ "step": 196
1185
+ },
1186
+ {
1187
+ "epoch": 0.03,
1188
+ "learning_rate": 8.356593809636371e-07,
1189
+ "loss": 2.3467,
1190
+ "step": 197
1191
+ },
1192
+ {
1193
+ "epoch": 0.03,
1194
+ "learning_rate": 8.211794564331918e-07,
1195
+ "loss": 2.4009,
1196
+ "step": 198
1197
+ },
1198
+ {
1199
+ "epoch": 0.03,
1200
+ "learning_rate": 8.067786479400346e-07,
1201
+ "loss": 2.44,
1202
+ "step": 199
1203
+ },
1204
+ {
1205
+ "epoch": 0.03,
1206
+ "learning_rate": 7.924586338878512e-07,
1207
+ "loss": 2.5891,
1208
+ "step": 200
1209
+ },
1210
+ {
1211
+ "epoch": 0.03,
1212
+ "learning_rate": 7.782210832637924e-07,
1213
+ "loss": 1.2204,
1214
+ "step": 201
1215
+ },
1216
+ {
1217
+ "epoch": 0.03,
1218
+ "learning_rate": 7.640676554439594e-07,
1219
+ "loss": 1.1149,
1220
+ "step": 202
1221
+ },
1222
+ {
1223
+ "epoch": 0.03,
1224
+ "learning_rate": 7.500000000000003e-07,
1225
+ "loss": 1.1802,
1226
+ "step": 203
1227
+ },
1228
+ {
1229
+ "epoch": 0.03,
1230
+ "learning_rate": 7.360197565068561e-07,
1231
+ "loss": 1.0454,
1232
+ "step": 204
1233
+ },
1234
+ {
1235
+ "epoch": 0.03,
1236
+ "learning_rate": 7.22128554351668e-07,
1237
+ "loss": 1.1475,
1238
+ "step": 205
1239
+ },
1240
+ {
1241
+ "epoch": 0.03,
1242
+ "learning_rate": 7.083280125438766e-07,
1243
+ "loss": 1.1811,
1244
+ "step": 206
1245
+ },
1246
+ {
1247
+ "epoch": 0.03,
1248
+ "learning_rate": 6.946197395265243e-07,
1249
+ "loss": 1.2031,
1250
+ "step": 207
1251
+ },
1252
+ {
1253
+ "epoch": 0.03,
1254
+ "learning_rate": 6.810053329887929e-07,
1255
+ "loss": 1.3016,
1256
+ "step": 208
1257
+ },
1258
+ {
1259
+ "epoch": 0.03,
1260
+ "learning_rate": 6.674863796797954e-07,
1261
+ "loss": 1.1845,
1262
+ "step": 209
1263
+ },
1264
+ {
1265
+ "epoch": 0.03,
1266
+ "learning_rate": 6.540644552236401e-07,
1267
+ "loss": 1.2235,
1268
+ "step": 210
1269
+ },
1270
+ {
1271
+ "epoch": 0.03,
1272
+ "learning_rate": 6.407411239357954e-07,
1273
+ "loss": 1.3364,
1274
+ "step": 211
1275
+ },
1276
+ {
1277
+ "epoch": 0.03,
1278
+ "learning_rate": 6.275179386407663e-07,
1279
+ "loss": 1.2483,
1280
+ "step": 212
1281
+ },
1282
+ {
1283
+ "epoch": 0.03,
1284
+ "learning_rate": 6.143964404911165e-07,
1285
+ "loss": 1.3154,
1286
+ "step": 213
1287
+ },
1288
+ {
1289
+ "epoch": 0.03,
1290
+ "learning_rate": 6.013781587878464e-07,
1291
+ "loss": 1.2914,
1292
+ "step": 214
1293
+ },
1294
+ {
1295
+ "epoch": 0.03,
1296
+ "learning_rate": 5.884646108021563e-07,
1297
+ "loss": 1.324,
1298
+ "step": 215
1299
+ },
1300
+ {
1301
+ "epoch": 0.03,
1302
+ "learning_rate": 5.756573015986089e-07,
1303
+ "loss": 1.382,
1304
+ "step": 216
1305
+ },
1306
+ {
1307
+ "epoch": 0.03,
1308
+ "learning_rate": 5.629577238597132e-07,
1309
+ "loss": 1.2145,
1310
+ "step": 217
1311
+ },
1312
+ {
1313
+ "epoch": 0.03,
1314
+ "learning_rate": 5.503673577119552e-07,
1315
+ "loss": 1.4172,
1316
+ "step": 218
1317
+ },
1318
+ {
1319
+ "epoch": 0.03,
1320
+ "learning_rate": 5.378876705532904e-07,
1321
+ "loss": 1.4902,
1322
+ "step": 219
1323
+ },
1324
+ {
1325
+ "epoch": 0.03,
1326
+ "learning_rate": 5.255201168821183e-07,
1327
+ "loss": 1.5351,
1328
+ "step": 220
1329
+ },
1330
+ {
1331
+ "epoch": 0.03,
1332
+ "learning_rate": 5.132661381277644e-07,
1333
+ "loss": 1.4211,
1334
+ "step": 221
1335
+ },
1336
+ {
1337
+ "epoch": 0.03,
1338
+ "learning_rate": 5.011271624824787e-07,
1339
+ "loss": 1.5289,
1340
+ "step": 222
1341
+ },
1342
+ {
1343
+ "epoch": 0.03,
1344
+ "learning_rate": 4.891046047349837e-07,
1345
+ "loss": 1.5527,
1346
+ "step": 223
1347
+ },
1348
+ {
1349
+ "epoch": 0.03,
1350
+ "learning_rate": 4.771998661055823e-07,
1351
+ "loss": 1.5057,
1352
+ "step": 224
1353
+ },
1354
+ {
1355
+ "epoch": 0.03,
1356
+ "learning_rate": 4.6541433408284356e-07,
1357
+ "loss": 1.5804,
1358
+ "step": 225
1359
+ },
1360
+ {
1361
+ "epoch": 0.03,
1362
+ "learning_rate": 4.5374938226189584e-07,
1363
+ "loss": 1.6606,
1364
+ "step": 226
1365
+ },
1366
+ {
1367
+ "epoch": 0.04,
1368
+ "learning_rate": 4.4220637018433163e-07,
1369
+ "loss": 1.6492,
1370
+ "step": 227
1371
+ },
1372
+ {
1373
+ "epoch": 0.04,
1374
+ "learning_rate": 4.3078664317975654e-07,
1375
+ "loss": 1.6729,
1376
+ "step": 228
1377
+ },
1378
+ {
1379
+ "epoch": 0.04,
1380
+ "learning_rate": 4.1949153220898987e-07,
1381
+ "loss": 1.8831,
1382
+ "step": 229
1383
+ },
1384
+ {
1385
+ "epoch": 0.04,
1386
+ "learning_rate": 4.0832235370894604e-07,
1387
+ "loss": 1.8898,
1388
+ "step": 230
1389
+ },
1390
+ {
1391
+ "epoch": 0.04,
1392
+ "learning_rate": 3.972804094391998e-07,
1393
+ "loss": 1.6795,
1394
+ "step": 231
1395
+ },
1396
+ {
1397
+ "epoch": 0.04,
1398
+ "learning_rate": 3.863669863302698e-07,
1399
+ "loss": 1.9394,
1400
+ "step": 232
1401
+ },
1402
+ {
1403
+ "epoch": 0.04,
1404
+ "learning_rate": 3.755833563336293e-07,
1405
+ "loss": 1.9454,
1406
+ "step": 233
1407
+ },
1408
+ {
1409
+ "epoch": 0.04,
1410
+ "learning_rate": 3.64930776273457e-07,
1411
+ "loss": 2.014,
1412
+ "step": 234
1413
+ },
1414
+ {
1415
+ "epoch": 0.04,
1416
+ "learning_rate": 3.544104877001596e-07,
1417
+ "loss": 1.9824,
1418
+ "step": 235
1419
+ },
1420
+ {
1421
+ "epoch": 0.04,
1422
+ "learning_rate": 3.440237167456663e-07,
1423
+ "loss": 2.0745,
1424
+ "step": 236
1425
+ },
1426
+ {
1427
+ "epoch": 0.04,
1428
+ "learning_rate": 3.337716739805264e-07,
1429
+ "loss": 2.0536,
1430
+ "step": 237
1431
+ },
1432
+ {
1433
+ "epoch": 0.04,
1434
+ "learning_rate": 3.2365555427281634e-07,
1435
+ "loss": 2.2728,
1436
+ "step": 238
1437
+ },
1438
+ {
1439
+ "epoch": 0.04,
1440
+ "learning_rate": 3.1367653664888173e-07,
1441
+ "loss": 2.1603,
1442
+ "step": 239
1443
+ },
1444
+ {
1445
+ "epoch": 0.04,
1446
+ "learning_rate": 3.0383578415591913e-07,
1447
+ "loss": 2.1522,
1448
+ "step": 240
1449
+ },
1450
+ {
1451
+ "epoch": 0.04,
1452
+ "learning_rate": 2.9413444372642496e-07,
1453
+ "loss": 2.2954,
1454
+ "step": 241
1455
+ },
1456
+ {
1457
+ "epoch": 0.04,
1458
+ "learning_rate": 2.8457364604452376e-07,
1459
+ "loss": 2.1479,
1460
+ "step": 242
1461
+ },
1462
+ {
1463
+ "epoch": 0.04,
1464
+ "learning_rate": 2.751545054141834e-07,
1465
+ "loss": 2.3303,
1466
+ "step": 243
1467
+ },
1468
+ {
1469
+ "epoch": 0.04,
1470
+ "learning_rate": 2.6587811962934823e-07,
1471
+ "loss": 2.3258,
1472
+ "step": 244
1473
+ },
1474
+ {
1475
+ "epoch": 0.04,
1476
+ "learning_rate": 2.567455698459882e-07,
1477
+ "loss": 2.3271,
1478
+ "step": 245
1479
+ },
1480
+ {
1481
+ "epoch": 0.04,
1482
+ "learning_rate": 2.4775792045609353e-07,
1483
+ "loss": 2.3152,
1484
+ "step": 246
1485
+ },
1486
+ {
1487
+ "epoch": 0.04,
1488
+ "learning_rate": 2.389162189636188e-07,
1489
+ "loss": 2.4583,
1490
+ "step": 247
1491
+ },
1492
+ {
1493
+ "epoch": 0.04,
1494
+ "learning_rate": 2.3022149586239972e-07,
1495
+ "loss": 2.3737,
1496
+ "step": 248
1497
+ },
1498
+ {
1499
+ "epoch": 0.04,
1500
+ "learning_rate": 2.2167476451604624e-07,
1501
+ "loss": 2.5374,
1502
+ "step": 249
1503
+ },
1504
+ {
1505
+ "epoch": 0.04,
1506
+ "learning_rate": 2.1327702103983864e-07,
1507
+ "loss": 2.5436,
1508
+ "step": 250
1509
+ },
1510
+ {
1511
+ "epoch": 0.04,
1512
+ "learning_rate": 2.0502924418463014e-07,
1513
+ "loss": 1.1269,
1514
+ "step": 251
1515
+ },
1516
+ {
1517
+ "epoch": 0.04,
1518
+ "learning_rate": 1.9693239522277327e-07,
1519
+ "loss": 1.1588,
1520
+ "step": 252
1521
+ },
1522
+ {
1523
+ "epoch": 0.04,
1524
+ "learning_rate": 1.8898741783608642e-07,
1525
+ "loss": 1.127,
1526
+ "step": 253
1527
+ },
1528
+ {
1529
+ "epoch": 0.04,
1530
+ "learning_rate": 1.811952380058657e-07,
1531
+ "loss": 1.1566,
1532
+ "step": 254
1533
+ },
1534
+ {
1535
+ "epoch": 0.04,
1536
+ "learning_rate": 1.7355676390496482e-07,
1537
+ "loss": 1.2204,
1538
+ "step": 255
1539
+ },
1540
+ {
1541
+ "epoch": 0.04,
1542
+ "learning_rate": 1.660728857919464e-07,
1543
+ "loss": 1.1514,
1544
+ "step": 256
1545
+ },
1546
+ {
1547
+ "epoch": 0.04,
1548
+ "learning_rate": 1.5874447590732537e-07,
1549
+ "loss": 1.1718,
1550
+ "step": 257
1551
+ },
1552
+ {
1553
+ "epoch": 0.04,
1554
+ "learning_rate": 1.5157238837190719e-07,
1555
+ "loss": 1.3254,
1556
+ "step": 258
1557
+ },
1558
+ {
1559
+ "epoch": 0.04,
1560
+ "learning_rate": 1.4455745908724226e-07,
1561
+ "loss": 1.2906,
1562
+ "step": 259
1563
+ },
1564
+ {
1565
+ "epoch": 0.04,
1566
+ "learning_rate": 1.377005056382018e-07,
1567
+ "loss": 1.1925,
1568
+ "step": 260
1569
+ },
1570
+ {
1571
+ "epoch": 0.04,
1572
+ "learning_rate": 1.3100232719768996e-07,
1573
+ "loss": 1.2717,
1574
+ "step": 261
1575
+ },
1576
+ {
1577
+ "epoch": 0.04,
1578
+ "learning_rate": 1.2446370443349863e-07,
1579
+ "loss": 1.2414,
1580
+ "step": 262
1581
+ },
1582
+ {
1583
+ "epoch": 0.04,
1584
+ "learning_rate": 1.180853994173236e-07,
1585
+ "loss": 1.2571,
1586
+ "step": 263
1587
+ },
1588
+ {
1589
+ "epoch": 0.04,
1590
+ "learning_rate": 1.1186815553594382e-07,
1591
+ "loss": 1.1211,
1592
+ "step": 264
1593
+ },
1594
+ {
1595
+ "epoch": 0.04,
1596
+ "learning_rate": 1.058126974045811e-07,
1597
+ "loss": 1.3869,
1598
+ "step": 265
1599
+ },
1600
+ {
1601
+ "epoch": 0.04,
1602
+ "learning_rate": 9.991973078244638e-08,
1603
+ "loss": 1.4214,
1604
+ "step": 266
1605
+ },
1606
+ {
1607
+ "epoch": 0.04,
1608
+ "learning_rate": 9.418994249048474e-08,
1609
+ "loss": 1.4063,
1610
+ "step": 267
1611
+ },
1612
+ {
1613
+ "epoch": 0.04,
1614
+ "learning_rate": 8.862400033132573e-08,
1615
+ "loss": 1.4621,
1616
+ "step": 268
1617
+ },
1618
+ {
1619
+ "epoch": 0.04,
1620
+ "learning_rate": 8.322255301145204e-08,
1621
+ "loss": 1.5625,
1622
+ "step": 269
1623
+ },
1624
+ {
1625
+ "epoch": 0.04,
1626
+ "learning_rate": 7.798623006559436e-08,
1627
+ "loss": 1.519,
1628
+ "step": 270
1629
+ },
1630
+ {
1631
+ "epoch": 0.04,
1632
+ "learning_rate": 7.291564178335719e-08,
1633
+ "loss": 1.5473,
1634
+ "step": 271
1635
+ },
1636
+ {
1637
+ "epoch": 0.04,
1638
+ "learning_rate": 6.801137913809214e-08,
1639
+ "loss": 1.5158,
1640
+ "step": 272
1641
+ },
1642
+ {
1643
+ "epoch": 0.04,
1644
+ "learning_rate": 6.327401371801944e-08,
1645
+ "loss": 1.6969,
1646
+ "step": 273
1647
+ },
1648
+ {
1649
+ "epoch": 0.04,
1650
+ "learning_rate": 5.870409765960966e-08,
1651
+ "loss": 1.6519,
1652
+ "step": 274
1653
+ },
1654
+ {
1655
+ "epoch": 0.04,
1656
+ "learning_rate": 5.430216358323309e-08,
1657
+ "loss": 1.5961,
1658
+ "step": 275
1659
+ },
1660
+ {
1661
+ "epoch": 0.04,
1662
+ "learning_rate": 5.00687245310833e-08,
1663
+ "loss": 1.6128,
1664
+ "step": 276
1665
+ },
1666
+ {
1667
+ "epoch": 0.04,
1668
+ "learning_rate": 4.60042739073816e-08,
1669
+ "loss": 1.813,
1670
+ "step": 277
1671
+ },
1672
+ {
1673
+ "epoch": 0.04,
1674
+ "learning_rate": 4.2109285420872055e-08,
1675
+ "loss": 1.6032,
1676
+ "step": 278
1677
+ },
1678
+ {
1679
+ "epoch": 0.04,
1680
+ "learning_rate": 3.838421302961098e-08,
1681
+ "loss": 1.8927,
1682
+ "step": 279
1683
+ },
1684
+ {
1685
+ "epoch": 0.04,
1686
+ "learning_rate": 3.4829490888057424e-08,
1687
+ "loss": 1.9264,
1688
+ "step": 280
1689
+ },
1690
+ {
1691
+ "epoch": 0.04,
1692
+ "learning_rate": 3.1445533296474484e-08,
1693
+ "loss": 1.7726,
1694
+ "step": 281
1695
+ },
1696
+ {
1697
+ "epoch": 0.04,
1698
+ "learning_rate": 2.8232734652641424e-08,
1699
+ "loss": 1.9217,
1700
+ "step": 282
1701
+ },
1702
+ {
1703
+ "epoch": 0.04,
1704
+ "learning_rate": 2.5191469405887625e-08,
1705
+ "loss": 1.9583,
1706
+ "step": 283
1707
+ },
1708
+ {
1709
+ "epoch": 0.04,
1710
+ "learning_rate": 2.2322092013450313e-08,
1711
+ "loss": 2.0714,
1712
+ "step": 284
1713
+ },
1714
+ {
1715
+ "epoch": 0.04,
1716
+ "learning_rate": 1.962493689916395e-08,
1717
+ "loss": 2.0708,
1718
+ "step": 285
1719
+ },
1720
+ {
1721
+ "epoch": 0.04,
1722
+ "learning_rate": 1.7100318414482063e-08,
1723
+ "loss": 2.0683,
1724
+ "step": 286
1725
+ },
1726
+ {
1727
+ "epoch": 0.04,
1728
+ "learning_rate": 1.4748530801840076e-08,
1729
+ "loss": 2.1105,
1730
+ "step": 287
1731
+ },
1732
+ {
1733
+ "epoch": 0.04,
1734
+ "learning_rate": 1.2569848160362384e-08,
1735
+ "loss": 2.2285,
1736
+ "step": 288
1737
+ },
1738
+ {
1739
+ "epoch": 0.04,
1740
+ "learning_rate": 1.0564524413915422e-08,
1741
+ "loss": 2.288,
1742
+ "step": 289
1743
+ },
1744
+ {
1745
+ "epoch": 0.04,
1746
+ "learning_rate": 8.732793281513663e-09,
1747
+ "loss": 2.2546,
1748
+ "step": 290
1749
+ },
1750
+ {
1751
+ "epoch": 0.04,
1752
+ "learning_rate": 7.074868250079081e-09,
1753
+ "loss": 2.156,
1754
+ "step": 291
1755
+ },
1756
+ {
1757
+ "epoch": 0.05,
1758
+ "learning_rate": 5.590942549560052e-09,
1759
+ "loss": 2.2368,
1760
+ "step": 292
1761
+ },
1762
+ {
1763
+ "epoch": 0.05,
1764
+ "learning_rate": 4.2811891304105345e-09,
1765
+ "loss": 2.2568,
1766
+ "step": 293
1767
+ },
1768
+ {
1769
+ "epoch": 0.05,
1770
+ "learning_rate": 3.145760643432527e-09,
1771
+ "loss": 2.2339,
1772
+ "step": 294
1773
+ },
1774
+ {
1775
+ "epoch": 0.05,
1776
+ "learning_rate": 2.1847894219846343e-09,
1777
+ "loss": 2.3651,
1778
+ "step": 295
1779
+ },
1780
+ {
1781
+ "epoch": 0.05,
1782
+ "learning_rate": 1.3983874665589035e-09,
1783
+ "loss": 2.492,
1784
+ "step": 296
1785
+ },
1786
+ {
1787
+ "epoch": 0.05,
1788
+ "learning_rate": 7.866464317276001e-10,
1789
+ "loss": 2.3863,
1790
+ "step": 297
1791
+ },
1792
+ {
1793
+ "epoch": 0.05,
1794
+ "learning_rate": 3.496376154604186e-10,
1795
+ "loss": 2.4482,
1796
+ "step": 298
1797
+ },
1798
+ {
1799
+ "epoch": 0.05,
1800
+ "learning_rate": 8.741195081479747e-11,
1801
+ "loss": 2.5423,
1802
+ "step": 299
1803
+ },
1804
+ {
1805
+ "epoch": 0.05,
1806
+ "learning_rate": 0.0,
1807
+ "loss": 2.5864,
1808
+ "step": 300
1809
+ }
1810
+ ],
1811
+ "max_steps": 300,
1812
+ "num_train_epochs": 1,
1813
+ "total_flos": 1.174396008923136e+16,
1814
+ "trial_name": null,
1815
+ "trial_params": null
1816
+ }
checkpoint-300/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4373b7353f7618ba071e8149528a0ae191779985a891ab40089b4f1cda12cac9
3
+ size 4027
flyte_training_config.json CHANGED
@@ -1 +1 @@
1
- {"base_model": "meta-llama/Llama-2-7b-hf", "data_path": "yahma/alpaca-cleaned", "instruction_key": "instruction", "input_key": "input", "output_key": "output", "output_dir": "./output", "device_map": "auto", "batch_size": 16, "micro_batch_size": 1, "num_epochs": 1, "max_steps": 250, "eval_steps": 200, "save_steps": 50, "learning_rate": 0.0001, "cutoff_len": 512, "val_set_size": 0, "lora_r": 8, "lora_alpha": 16, "lora_dropout": 0.05, "weight_decay": 0.02, "warmup_ratio": 0.03, "lr_scheduler_type": "cosine", "lora_target_modules": ["q_proj", "k_proj", "v_proj"], "train_on_inputs": true, "add_eos_token": true, "group_by_length": true, "resume_from_checkpoint": null, "wandb_project": "unionai-llm-fine-tuning", "wandb_run_name": "", "wandb_watch": "", "wandb_log_model": "", "debug_mode": false, "debug_train_data_size": 1024}
 
1
+ {"base_model": "meta-llama/Llama-2-7b-hf", "data_path": "yahma/alpaca-cleaned", "instruction_key": "instruction", "input_key": "input", "output_key": "output", "output_dir": "./output", "device_map": "auto", "batch_size": 8, "micro_batch_size": 8, "num_epochs": 1, "max_steps": 300, "eval_steps": 200, "save_steps": 50, "learning_rate": 3e-06, "cutoff_len": 512, "val_set_size": 0, "lora_r": 8, "lora_alpha": 16, "lora_dropout": 0.05, "weight_decay": 0.02, "warmup_ratio": 0.03, "lr_scheduler_type": "cosine", "lora_target_modules": ["q_proj", "k_proj", "v_proj"], "train_on_inputs": true, "add_eos_token": true, "group_by_length": true, "resume_from_checkpoint": null, "wandb_project": "unionai-llm-fine-tuning", "wandb_run_name": "", "wandb_watch": "", "wandb_log_model": "", "debug_mode": false, "debug_train_data_size": 1024}
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3e39446b5d41d7b95abf21f50c4d1c0231f70f7bb45b7195adab288b3f3adcfd
3
- size 3963
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4373b7353f7618ba071e8149528a0ae191779985a891ab40089b4f1cda12cac9
3
+ size 4027