Qin Liu commited on
Commit
57fbd7c
1 Parent(s): 1b8556e

Model save

Browse files
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: llama3
3
+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
4
+ tags:
5
+ - trl
6
+ - sft
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: llama3-sudo-5epochs-tofu_full_sft
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # llama3-sudo-5epochs-tofu_full_sft
17
+
18
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 1e-05
38
+ - train_batch_size: 4
39
+ - eval_batch_size: 4
40
+ - seed: 42
41
+ - distributed_type: multi-GPU
42
+ - num_devices: 4
43
+ - total_train_batch_size: 16
44
+ - total_eval_batch_size: 16
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: cosine
47
+ - lr_scheduler_warmup_ratio: 0.1
48
+ - num_epochs: 5
49
+
50
+ ### Training results
51
+
52
+
53
+
54
+ ### Framework versions
55
+
56
+ - Transformers 4.44.0
57
+ - Pytorch 2.1.2
58
+ - Datasets 3.0.0
59
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "total_flos": 2442779688960.0,
4
+ "train_loss": 0.6922085983276367,
5
+ "train_runtime": 19109.4525,
6
+ "train_samples": 4000,
7
+ "train_samples_per_second": 1.047,
8
+ "train_steps_per_second": 0.065
9
+ }
generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 128000,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 128001,
6
+ 128009
7
+ ],
8
+ "max_length": 4096,
9
+ "temperature": 0.6,
10
+ "top_p": 0.9,
11
+ "transformers_version": "4.44.0"
12
+ }
model-00001-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0e3fe7b4cad1586298fc1b13d4ebb3ce942ef34df16baf518031c1c9185b5673
3
  size 4976698672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67f20c60dc76b0cfe20269bcdaccee9c7e1bc821a5548d1b56d5751a1964be84
3
  size 4976698672
model-00002-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6a109b8d1773ac7e50328348b42d24bc06bf0abcf5dcc2bb4030bd3b2be19e15
3
  size 4999802720
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:882eb910c1ce88739daabc3ede22d213578daa9c9dd3fa5305488fc03e379017
3
  size 4999802720
model-00003-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:51d48a661e429aa2d06d14f541fb667aaa9c3e5f7fd6f78ea8957a6a6ce34402
3
  size 4915916176
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:79402eea8aee98bb56fa35c399334e9812ff19743dc173e161d48208737e65b9
3
  size 4915916176
model-00004-of-00004.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0a3db966bac84d327b05a9e2645aa0eef8ff452006e4e4febc1b7784204ffcbd
3
  size 1168138808
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42fc4fbec2f45e07bcd85263db1c0c88c773b4f14dfc47d41c806b92a94afdd5
3
  size 1168138808
runs/Sep29_23-08-50_COE-CS-sv002/events.out.tfevents.1727676549.COE-CS-sv002.1650433.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:82853bc637b6032a15d24714c972bb1afd4196cc19e0dbdb1723f15853a4e22d
3
- size 53624
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5f55318e9914dff0029efabddf8119c9336881c1f83b173ef51d2385597b5ee
3
+ size 58831
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "total_flos": 2442779688960.0,
4
+ "train_loss": 0.6922085983276367,
5
+ "train_runtime": 19109.4525,
6
+ "train_samples": 4000,
7
+ "train_samples_per_second": 1.047,
8
+ "train_steps_per_second": 0.065
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,1799 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 5.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1250,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.004,
13
+ "grad_norm": 176.61734163359293,
14
+ "learning_rate": 8e-08,
15
+ "loss": 4.3238,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.02,
20
+ "grad_norm": 155.411055284858,
21
+ "learning_rate": 4.0000000000000003e-07,
22
+ "loss": 4.0646,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 0.04,
27
+ "grad_norm": 133.32923635298718,
28
+ "learning_rate": 8.000000000000001e-07,
29
+ "loss": 3.906,
30
+ "step": 10
31
+ },
32
+ {
33
+ "epoch": 0.06,
34
+ "grad_norm": 80.21052252920832,
35
+ "learning_rate": 1.2000000000000002e-06,
36
+ "loss": 3.4641,
37
+ "step": 15
38
+ },
39
+ {
40
+ "epoch": 0.08,
41
+ "grad_norm": 48.85213712192445,
42
+ "learning_rate": 1.6000000000000001e-06,
43
+ "loss": 2.8464,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.1,
48
+ "grad_norm": 45.776617949620864,
49
+ "learning_rate": 2.0000000000000003e-06,
50
+ "loss": 2.5666,
51
+ "step": 25
52
+ },
53
+ {
54
+ "epoch": 0.12,
55
+ "grad_norm": 26.73992232818656,
56
+ "learning_rate": 2.4000000000000003e-06,
57
+ "loss": 2.3056,
58
+ "step": 30
59
+ },
60
+ {
61
+ "epoch": 0.14,
62
+ "grad_norm": 17.729572998739787,
63
+ "learning_rate": 2.8000000000000003e-06,
64
+ "loss": 2.0261,
65
+ "step": 35
66
+ },
67
+ {
68
+ "epoch": 0.16,
69
+ "grad_norm": 15.223894174418577,
70
+ "learning_rate": 3.2000000000000003e-06,
71
+ "loss": 1.8306,
72
+ "step": 40
73
+ },
74
+ {
75
+ "epoch": 0.18,
76
+ "grad_norm": 17.850711162892512,
77
+ "learning_rate": 3.6000000000000003e-06,
78
+ "loss": 1.8819,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.2,
83
+ "grad_norm": 23.333457209821216,
84
+ "learning_rate": 4.000000000000001e-06,
85
+ "loss": 1.7672,
86
+ "step": 50
87
+ },
88
+ {
89
+ "epoch": 0.22,
90
+ "grad_norm": 15.269663674152135,
91
+ "learning_rate": 4.4e-06,
92
+ "loss": 1.6371,
93
+ "step": 55
94
+ },
95
+ {
96
+ "epoch": 0.24,
97
+ "grad_norm": 17.5332417329875,
98
+ "learning_rate": 4.800000000000001e-06,
99
+ "loss": 1.561,
100
+ "step": 60
101
+ },
102
+ {
103
+ "epoch": 0.26,
104
+ "grad_norm": 17.643721758122435,
105
+ "learning_rate": 5.2e-06,
106
+ "loss": 1.5423,
107
+ "step": 65
108
+ },
109
+ {
110
+ "epoch": 0.28,
111
+ "grad_norm": 11.734090209997497,
112
+ "learning_rate": 5.600000000000001e-06,
113
+ "loss": 1.5258,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.3,
118
+ "grad_norm": 12.798342916618239,
119
+ "learning_rate": 6e-06,
120
+ "loss": 1.4755,
121
+ "step": 75
122
+ },
123
+ {
124
+ "epoch": 0.32,
125
+ "grad_norm": 10.898202349824153,
126
+ "learning_rate": 6.4000000000000006e-06,
127
+ "loss": 1.5182,
128
+ "step": 80
129
+ },
130
+ {
131
+ "epoch": 0.34,
132
+ "grad_norm": 9.088500598331303,
133
+ "learning_rate": 6.800000000000001e-06,
134
+ "loss": 1.4451,
135
+ "step": 85
136
+ },
137
+ {
138
+ "epoch": 0.36,
139
+ "grad_norm": 10.983489966478087,
140
+ "learning_rate": 7.2000000000000005e-06,
141
+ "loss": 1.4034,
142
+ "step": 90
143
+ },
144
+ {
145
+ "epoch": 0.38,
146
+ "grad_norm": 10.83379202012167,
147
+ "learning_rate": 7.600000000000001e-06,
148
+ "loss": 1.425,
149
+ "step": 95
150
+ },
151
+ {
152
+ "epoch": 0.4,
153
+ "grad_norm": 8.672594081659222,
154
+ "learning_rate": 8.000000000000001e-06,
155
+ "loss": 1.3219,
156
+ "step": 100
157
+ },
158
+ {
159
+ "epoch": 0.42,
160
+ "grad_norm": 9.23377777855437,
161
+ "learning_rate": 8.400000000000001e-06,
162
+ "loss": 1.3799,
163
+ "step": 105
164
+ },
165
+ {
166
+ "epoch": 0.44,
167
+ "grad_norm": 9.166396489821778,
168
+ "learning_rate": 8.8e-06,
169
+ "loss": 1.4142,
170
+ "step": 110
171
+ },
172
+ {
173
+ "epoch": 0.46,
174
+ "grad_norm": 7.0660631261512545,
175
+ "learning_rate": 9.200000000000002e-06,
176
+ "loss": 1.417,
177
+ "step": 115
178
+ },
179
+ {
180
+ "epoch": 0.48,
181
+ "grad_norm": 8.099995733491154,
182
+ "learning_rate": 9.600000000000001e-06,
183
+ "loss": 1.4513,
184
+ "step": 120
185
+ },
186
+ {
187
+ "epoch": 0.5,
188
+ "grad_norm": 7.288660952017101,
189
+ "learning_rate": 1e-05,
190
+ "loss": 1.3968,
191
+ "step": 125
192
+ },
193
+ {
194
+ "epoch": 0.52,
195
+ "grad_norm": 11.534085489012515,
196
+ "learning_rate": 9.999512620046523e-06,
197
+ "loss": 1.3915,
198
+ "step": 130
199
+ },
200
+ {
201
+ "epoch": 0.54,
202
+ "grad_norm": 6.643837868783607,
203
+ "learning_rate": 9.998050575201772e-06,
204
+ "loss": 1.4451,
205
+ "step": 135
206
+ },
207
+ {
208
+ "epoch": 0.56,
209
+ "grad_norm": 8.528949559944818,
210
+ "learning_rate": 9.995614150494293e-06,
211
+ "loss": 1.3693,
212
+ "step": 140
213
+ },
214
+ {
215
+ "epoch": 0.58,
216
+ "grad_norm": 8.161397264280835,
217
+ "learning_rate": 9.992203820909906e-06,
218
+ "loss": 1.4197,
219
+ "step": 145
220
+ },
221
+ {
222
+ "epoch": 0.6,
223
+ "grad_norm": 7.882117733860753,
224
+ "learning_rate": 9.987820251299121e-06,
225
+ "loss": 1.3828,
226
+ "step": 150
227
+ },
228
+ {
229
+ "epoch": 0.62,
230
+ "grad_norm": 7.0280065330885995,
231
+ "learning_rate": 9.982464296247523e-06,
232
+ "loss": 1.4357,
233
+ "step": 155
234
+ },
235
+ {
236
+ "epoch": 0.64,
237
+ "grad_norm": 12.464091827730066,
238
+ "learning_rate": 9.976136999909156e-06,
239
+ "loss": 1.4414,
240
+ "step": 160
241
+ },
242
+ {
243
+ "epoch": 0.66,
244
+ "grad_norm": 6.4662291984046405,
245
+ "learning_rate": 9.968839595802982e-06,
246
+ "loss": 1.3905,
247
+ "step": 165
248
+ },
249
+ {
250
+ "epoch": 0.68,
251
+ "grad_norm": 6.65402151180169,
252
+ "learning_rate": 9.960573506572391e-06,
253
+ "loss": 1.4024,
254
+ "step": 170
255
+ },
256
+ {
257
+ "epoch": 0.7,
258
+ "grad_norm": 6.113615695740095,
259
+ "learning_rate": 9.951340343707852e-06,
260
+ "loss": 1.4059,
261
+ "step": 175
262
+ },
263
+ {
264
+ "epoch": 0.72,
265
+ "grad_norm": 6.665800966603425,
266
+ "learning_rate": 9.941141907232766e-06,
267
+ "loss": 1.331,
268
+ "step": 180
269
+ },
270
+ {
271
+ "epoch": 0.74,
272
+ "grad_norm": 6.685187563713334,
273
+ "learning_rate": 9.929980185352525e-06,
274
+ "loss": 1.3893,
275
+ "step": 185
276
+ },
277
+ {
278
+ "epoch": 0.76,
279
+ "grad_norm": 7.486719506086368,
280
+ "learning_rate": 9.91785735406693e-06,
281
+ "loss": 1.4275,
282
+ "step": 190
283
+ },
284
+ {
285
+ "epoch": 0.78,
286
+ "grad_norm": 5.888855898761242,
287
+ "learning_rate": 9.904775776745959e-06,
288
+ "loss": 1.4439,
289
+ "step": 195
290
+ },
291
+ {
292
+ "epoch": 0.8,
293
+ "grad_norm": 7.140808325295947,
294
+ "learning_rate": 9.890738003669029e-06,
295
+ "loss": 1.3542,
296
+ "step": 200
297
+ },
298
+ {
299
+ "epoch": 0.82,
300
+ "grad_norm": 6.336292620943448,
301
+ "learning_rate": 9.875746771527817e-06,
302
+ "loss": 1.413,
303
+ "step": 205
304
+ },
305
+ {
306
+ "epoch": 0.84,
307
+ "grad_norm": 7.079906024172797,
308
+ "learning_rate": 9.859805002892733e-06,
309
+ "loss": 1.3682,
310
+ "step": 210
311
+ },
312
+ {
313
+ "epoch": 0.86,
314
+ "grad_norm": 6.092306466503896,
315
+ "learning_rate": 9.842915805643156e-06,
316
+ "loss": 1.3372,
317
+ "step": 215
318
+ },
319
+ {
320
+ "epoch": 0.88,
321
+ "grad_norm": 7.149575331392461,
322
+ "learning_rate": 9.825082472361558e-06,
323
+ "loss": 1.3118,
324
+ "step": 220
325
+ },
326
+ {
327
+ "epoch": 0.9,
328
+ "grad_norm": 7.092971166660636,
329
+ "learning_rate": 9.806308479691595e-06,
330
+ "loss": 1.408,
331
+ "step": 225
332
+ },
333
+ {
334
+ "epoch": 0.92,
335
+ "grad_norm": 5.984139809585789,
336
+ "learning_rate": 9.786597487660336e-06,
337
+ "loss": 1.366,
338
+ "step": 230
339
+ },
340
+ {
341
+ "epoch": 0.94,
342
+ "grad_norm": 5.706031191925562,
343
+ "learning_rate": 9.765953338964736e-06,
344
+ "loss": 1.3484,
345
+ "step": 235
346
+ },
347
+ {
348
+ "epoch": 0.96,
349
+ "grad_norm": 6.2002602935958455,
350
+ "learning_rate": 9.744380058222483e-06,
351
+ "loss": 1.4072,
352
+ "step": 240
353
+ },
354
+ {
355
+ "epoch": 0.98,
356
+ "grad_norm": 5.8664026992140865,
357
+ "learning_rate": 9.721881851187406e-06,
358
+ "loss": 1.3566,
359
+ "step": 245
360
+ },
361
+ {
362
+ "epoch": 1.0,
363
+ "grad_norm": 5.9527848362443825,
364
+ "learning_rate": 9.698463103929542e-06,
365
+ "loss": 1.3774,
366
+ "step": 250
367
+ },
368
+ {
369
+ "epoch": 1.02,
370
+ "grad_norm": 6.374596828831512,
371
+ "learning_rate": 9.674128381980073e-06,
372
+ "loss": 0.9693,
373
+ "step": 255
374
+ },
375
+ {
376
+ "epoch": 1.04,
377
+ "grad_norm": 7.193932199691029,
378
+ "learning_rate": 9.648882429441258e-06,
379
+ "loss": 0.8766,
380
+ "step": 260
381
+ },
382
+ {
383
+ "epoch": 1.06,
384
+ "grad_norm": 6.524026562136591,
385
+ "learning_rate": 9.622730168061568e-06,
386
+ "loss": 0.9104,
387
+ "step": 265
388
+ },
389
+ {
390
+ "epoch": 1.08,
391
+ "grad_norm": 7.301263634828025,
392
+ "learning_rate": 9.595676696276173e-06,
393
+ "loss": 0.9334,
394
+ "step": 270
395
+ },
396
+ {
397
+ "epoch": 1.1,
398
+ "grad_norm": 5.670753086010248,
399
+ "learning_rate": 9.567727288213005e-06,
400
+ "loss": 0.8783,
401
+ "step": 275
402
+ },
403
+ {
404
+ "epoch": 1.12,
405
+ "grad_norm": 6.3479832974747525,
406
+ "learning_rate": 9.538887392664544e-06,
407
+ "loss": 0.9225,
408
+ "step": 280
409
+ },
410
+ {
411
+ "epoch": 1.1400000000000001,
412
+ "grad_norm": 5.625595616634227,
413
+ "learning_rate": 9.50916263202557e-06,
414
+ "loss": 0.9008,
415
+ "step": 285
416
+ },
417
+ {
418
+ "epoch": 1.16,
419
+ "grad_norm": 6.053431365139577,
420
+ "learning_rate": 9.478558801197065e-06,
421
+ "loss": 0.8751,
422
+ "step": 290
423
+ },
424
+ {
425
+ "epoch": 1.18,
426
+ "grad_norm": 6.445287713916751,
427
+ "learning_rate": 9.44708186645649e-06,
428
+ "loss": 0.8346,
429
+ "step": 295
430
+ },
431
+ {
432
+ "epoch": 1.2,
433
+ "grad_norm": 5.960574296608363,
434
+ "learning_rate": 9.414737964294636e-06,
435
+ "loss": 0.848,
436
+ "step": 300
437
+ },
438
+ {
439
+ "epoch": 1.22,
440
+ "grad_norm": 6.199669817245069,
441
+ "learning_rate": 9.381533400219319e-06,
442
+ "loss": 0.9026,
443
+ "step": 305
444
+ },
445
+ {
446
+ "epoch": 1.24,
447
+ "grad_norm": 6.03202099539365,
448
+ "learning_rate": 9.347474647526095e-06,
449
+ "loss": 0.9109,
450
+ "step": 310
451
+ },
452
+ {
453
+ "epoch": 1.26,
454
+ "grad_norm": 5.808928571078848,
455
+ "learning_rate": 9.312568346036288e-06,
456
+ "loss": 0.8967,
457
+ "step": 315
458
+ },
459
+ {
460
+ "epoch": 1.28,
461
+ "grad_norm": 5.49851518421863,
462
+ "learning_rate": 9.276821300802535e-06,
463
+ "loss": 0.8444,
464
+ "step": 320
465
+ },
466
+ {
467
+ "epoch": 1.3,
468
+ "grad_norm": 5.565049800849722,
469
+ "learning_rate": 9.24024048078213e-06,
470
+ "loss": 0.9639,
471
+ "step": 325
472
+ },
473
+ {
474
+ "epoch": 1.32,
475
+ "grad_norm": 5.562593169506186,
476
+ "learning_rate": 9.202833017478421e-06,
477
+ "loss": 0.8689,
478
+ "step": 330
479
+ },
480
+ {
481
+ "epoch": 1.34,
482
+ "grad_norm": 6.411205035883853,
483
+ "learning_rate": 9.164606203550498e-06,
484
+ "loss": 0.8717,
485
+ "step": 335
486
+ },
487
+ {
488
+ "epoch": 1.3599999999999999,
489
+ "grad_norm": 5.773518519345432,
490
+ "learning_rate": 9.125567491391476e-06,
491
+ "loss": 0.8878,
492
+ "step": 340
493
+ },
494
+ {
495
+ "epoch": 1.38,
496
+ "grad_norm": 6.106878743329819,
497
+ "learning_rate": 9.085724491675642e-06,
498
+ "loss": 0.8751,
499
+ "step": 345
500
+ },
501
+ {
502
+ "epoch": 1.4,
503
+ "grad_norm": 5.602954058571908,
504
+ "learning_rate": 9.045084971874738e-06,
505
+ "loss": 0.8821,
506
+ "step": 350
507
+ },
508
+ {
509
+ "epoch": 1.42,
510
+ "grad_norm": 5.241008563893136,
511
+ "learning_rate": 9.003656854743667e-06,
512
+ "loss": 0.9555,
513
+ "step": 355
514
+ },
515
+ {
516
+ "epoch": 1.44,
517
+ "grad_norm": 5.977919483177927,
518
+ "learning_rate": 8.961448216775955e-06,
519
+ "loss": 0.8809,
520
+ "step": 360
521
+ },
522
+ {
523
+ "epoch": 1.46,
524
+ "grad_norm": 5.666258321453365,
525
+ "learning_rate": 8.9184672866292e-06,
526
+ "loss": 0.8557,
527
+ "step": 365
528
+ },
529
+ {
530
+ "epoch": 1.48,
531
+ "grad_norm": 7.0549468534641235,
532
+ "learning_rate": 8.874722443520898e-06,
533
+ "loss": 0.9716,
534
+ "step": 370
535
+ },
536
+ {
537
+ "epoch": 1.5,
538
+ "grad_norm": 5.706625987649317,
539
+ "learning_rate": 8.83022221559489e-06,
540
+ "loss": 0.8705,
541
+ "step": 375
542
+ },
543
+ {
544
+ "epoch": 1.52,
545
+ "grad_norm": 6.104256802083156,
546
+ "learning_rate": 8.784975278258783e-06,
547
+ "loss": 0.8187,
548
+ "step": 380
549
+ },
550
+ {
551
+ "epoch": 1.54,
552
+ "grad_norm": 6.5871280297893415,
553
+ "learning_rate": 8.73899045249266e-06,
554
+ "loss": 0.9132,
555
+ "step": 385
556
+ },
557
+ {
558
+ "epoch": 1.56,
559
+ "grad_norm": 5.57782141266722,
560
+ "learning_rate": 8.692276703129421e-06,
561
+ "loss": 0.9218,
562
+ "step": 390
563
+ },
564
+ {
565
+ "epoch": 1.58,
566
+ "grad_norm": 5.472134179814514,
567
+ "learning_rate": 8.644843137107058e-06,
568
+ "loss": 0.8681,
569
+ "step": 395
570
+ },
571
+ {
572
+ "epoch": 1.6,
573
+ "grad_norm": 6.397480891094298,
574
+ "learning_rate": 8.596699001693257e-06,
575
+ "loss": 0.9391,
576
+ "step": 400
577
+ },
578
+ {
579
+ "epoch": 1.62,
580
+ "grad_norm": 5.363456755073,
581
+ "learning_rate": 8.547853682682605e-06,
582
+ "loss": 0.8772,
583
+ "step": 405
584
+ },
585
+ {
586
+ "epoch": 1.6400000000000001,
587
+ "grad_norm": 5.259511329956283,
588
+ "learning_rate": 8.498316702566828e-06,
589
+ "loss": 0.8644,
590
+ "step": 410
591
+ },
592
+ {
593
+ "epoch": 1.6600000000000001,
594
+ "grad_norm": 6.1682566237448775,
595
+ "learning_rate": 8.44809771867835e-06,
596
+ "loss": 0.947,
597
+ "step": 415
598
+ },
599
+ {
600
+ "epoch": 1.6800000000000002,
601
+ "grad_norm": 5.7859091344204145,
602
+ "learning_rate": 8.397206521307584e-06,
603
+ "loss": 0.9254,
604
+ "step": 420
605
+ },
606
+ {
607
+ "epoch": 1.7,
608
+ "grad_norm": 6.057814591654113,
609
+ "learning_rate": 8.345653031794292e-06,
610
+ "loss": 0.9062,
611
+ "step": 425
612
+ },
613
+ {
614
+ "epoch": 1.72,
615
+ "grad_norm": 5.465194913584291,
616
+ "learning_rate": 8.293447300593402e-06,
617
+ "loss": 0.9132,
618
+ "step": 430
619
+ },
620
+ {
621
+ "epoch": 1.74,
622
+ "grad_norm": 5.608611072004163,
623
+ "learning_rate": 8.240599505315656e-06,
624
+ "loss": 0.8963,
625
+ "step": 435
626
+ },
627
+ {
628
+ "epoch": 1.76,
629
+ "grad_norm": 6.514982052300432,
630
+ "learning_rate": 8.18711994874345e-06,
631
+ "loss": 0.9708,
632
+ "step": 440
633
+ },
634
+ {
635
+ "epoch": 1.78,
636
+ "grad_norm": 5.3243654718837075,
637
+ "learning_rate": 8.133019056822303e-06,
638
+ "loss": 0.8674,
639
+ "step": 445
640
+ },
641
+ {
642
+ "epoch": 1.8,
643
+ "grad_norm": 6.04340107619584,
644
+ "learning_rate": 8.078307376628292e-06,
645
+ "loss": 0.9128,
646
+ "step": 450
647
+ },
648
+ {
649
+ "epoch": 1.8199999999999998,
650
+ "grad_norm": 5.704899222715775,
651
+ "learning_rate": 8.022995574311876e-06,
652
+ "loss": 0.8828,
653
+ "step": 455
654
+ },
655
+ {
656
+ "epoch": 1.8399999999999999,
657
+ "grad_norm": 5.7674701231397805,
658
+ "learning_rate": 7.967094433018508e-06,
659
+ "loss": 0.9295,
660
+ "step": 460
661
+ },
662
+ {
663
+ "epoch": 1.8599999999999999,
664
+ "grad_norm": 5.324848982286405,
665
+ "learning_rate": 7.910614850786448e-06,
666
+ "loss": 0.8745,
667
+ "step": 465
668
+ },
669
+ {
670
+ "epoch": 1.88,
671
+ "grad_norm": 6.686861233685566,
672
+ "learning_rate": 7.85356783842216e-06,
673
+ "loss": 0.9646,
674
+ "step": 470
675
+ },
676
+ {
677
+ "epoch": 1.9,
678
+ "grad_norm": 6.121104493662131,
679
+ "learning_rate": 7.795964517353734e-06,
680
+ "loss": 0.933,
681
+ "step": 475
682
+ },
683
+ {
684
+ "epoch": 1.92,
685
+ "grad_norm": 5.582536228375127,
686
+ "learning_rate": 7.737816117462752e-06,
687
+ "loss": 0.9262,
688
+ "step": 480
689
+ },
690
+ {
691
+ "epoch": 1.94,
692
+ "grad_norm": 6.077848142278746,
693
+ "learning_rate": 7.679133974894984e-06,
694
+ "loss": 0.9029,
695
+ "step": 485
696
+ },
697
+ {
698
+ "epoch": 1.96,
699
+ "grad_norm": 5.986835723576084,
700
+ "learning_rate": 7.619929529850397e-06,
701
+ "loss": 0.9204,
702
+ "step": 490
703
+ },
704
+ {
705
+ "epoch": 1.98,
706
+ "grad_norm": 4.648465110523929,
707
+ "learning_rate": 7.560214324352858e-06,
708
+ "loss": 0.855,
709
+ "step": 495
710
+ },
711
+ {
712
+ "epoch": 2.0,
713
+ "grad_norm": 6.394027835473984,
714
+ "learning_rate": 7.500000000000001e-06,
715
+ "loss": 0.9621,
716
+ "step": 500
717
+ },
718
+ {
719
+ "epoch": 2.02,
720
+ "grad_norm": 3.89451985928487,
721
+ "learning_rate": 7.4392982956936644e-06,
722
+ "loss": 0.4544,
723
+ "step": 505
724
+ },
725
+ {
726
+ "epoch": 2.04,
727
+ "grad_norm": 6.182703543573361,
728
+ "learning_rate": 7.378121045351378e-06,
729
+ "loss": 0.4096,
730
+ "step": 510
731
+ },
732
+ {
733
+ "epoch": 2.06,
734
+ "grad_norm": 6.193574779151475,
735
+ "learning_rate": 7.31648017559931e-06,
736
+ "loss": 0.4193,
737
+ "step": 515
738
+ },
739
+ {
740
+ "epoch": 2.08,
741
+ "grad_norm": 4.8681830081803605,
742
+ "learning_rate": 7.254387703447154e-06,
743
+ "loss": 0.4205,
744
+ "step": 520
745
+ },
746
+ {
747
+ "epoch": 2.1,
748
+ "grad_norm": 5.210546829726289,
749
+ "learning_rate": 7.191855733945388e-06,
750
+ "loss": 0.4374,
751
+ "step": 525
752
+ },
753
+ {
754
+ "epoch": 2.12,
755
+ "grad_norm": 4.646814925775646,
756
+ "learning_rate": 7.128896457825364e-06,
757
+ "loss": 0.4225,
758
+ "step": 530
759
+ },
760
+ {
761
+ "epoch": 2.14,
762
+ "grad_norm": 4.654154374920671,
763
+ "learning_rate": 7.06552214912271e-06,
764
+ "loss": 0.4276,
765
+ "step": 535
766
+ },
767
+ {
768
+ "epoch": 2.16,
769
+ "grad_norm": 5.3434847628458275,
770
+ "learning_rate": 7.0017451627844765e-06,
771
+ "loss": 0.432,
772
+ "step": 540
773
+ },
774
+ {
775
+ "epoch": 2.18,
776
+ "grad_norm": 4.709540680953104,
777
+ "learning_rate": 6.9375779322605154e-06,
778
+ "loss": 0.4378,
779
+ "step": 545
780
+ },
781
+ {
782
+ "epoch": 2.2,
783
+ "grad_norm": 4.834968890809526,
784
+ "learning_rate": 6.873032967079562e-06,
785
+ "loss": 0.4405,
786
+ "step": 550
787
+ },
788
+ {
789
+ "epoch": 2.22,
790
+ "grad_norm": 4.21487141814997,
791
+ "learning_rate": 6.808122850410461e-06,
792
+ "loss": 0.4322,
793
+ "step": 555
794
+ },
795
+ {
796
+ "epoch": 2.24,
797
+ "grad_norm": 5.761355844826787,
798
+ "learning_rate": 6.7428602366090764e-06,
799
+ "loss": 0.4207,
800
+ "step": 560
801
+ },
802
+ {
803
+ "epoch": 2.26,
804
+ "grad_norm": 4.752918487437509,
805
+ "learning_rate": 6.677257848751276e-06,
806
+ "loss": 0.4514,
807
+ "step": 565
808
+ },
809
+ {
810
+ "epoch": 2.2800000000000002,
811
+ "grad_norm": 6.0722053004977585,
812
+ "learning_rate": 6.611328476152557e-06,
813
+ "loss": 0.4447,
814
+ "step": 570
815
+ },
816
+ {
817
+ "epoch": 2.3,
818
+ "grad_norm": 3.9317893606382217,
819
+ "learning_rate": 6.545084971874738e-06,
820
+ "loss": 0.447,
821
+ "step": 575
822
+ },
823
+ {
824
+ "epoch": 2.32,
825
+ "grad_norm": 4.6089986065133,
826
+ "learning_rate": 6.4785402502202345e-06,
827
+ "loss": 0.4267,
828
+ "step": 580
829
+ },
830
+ {
831
+ "epoch": 2.34,
832
+ "grad_norm": 5.5318341884342646,
833
+ "learning_rate": 6.411707284214384e-06,
834
+ "loss": 0.4495,
835
+ "step": 585
836
+ },
837
+ {
838
+ "epoch": 2.36,
839
+ "grad_norm": 6.3158633504097965,
840
+ "learning_rate": 6.344599103076329e-06,
841
+ "loss": 0.4502,
842
+ "step": 590
843
+ },
844
+ {
845
+ "epoch": 2.38,
846
+ "grad_norm": 4.522299833445048,
847
+ "learning_rate": 6.277228789678953e-06,
848
+ "loss": 0.4408,
849
+ "step": 595
850
+ },
851
+ {
852
+ "epoch": 2.4,
853
+ "grad_norm": 4.75003515089972,
854
+ "learning_rate": 6.209609477998339e-06,
855
+ "loss": 0.424,
856
+ "step": 600
857
+ },
858
+ {
859
+ "epoch": 2.42,
860
+ "grad_norm": 4.849076130585631,
861
+ "learning_rate": 6.141754350553279e-06,
862
+ "loss": 0.4418,
863
+ "step": 605
864
+ },
865
+ {
866
+ "epoch": 2.44,
867
+ "grad_norm": 4.754914150256052,
868
+ "learning_rate": 6.073676635835317e-06,
869
+ "loss": 0.4379,
870
+ "step": 610
871
+ },
872
+ {
873
+ "epoch": 2.46,
874
+ "grad_norm": 5.217922728452035,
875
+ "learning_rate": 6.005389605729824e-06,
876
+ "loss": 0.4223,
877
+ "step": 615
878
+ },
879
+ {
880
+ "epoch": 2.48,
881
+ "grad_norm": 5.09656877734741,
882
+ "learning_rate": 5.936906572928625e-06,
883
+ "loss": 0.4345,
884
+ "step": 620
885
+ },
886
+ {
887
+ "epoch": 2.5,
888
+ "grad_norm": 4.94943409663634,
889
+ "learning_rate": 5.8682408883346535e-06,
890
+ "loss": 0.4555,
891
+ "step": 625
892
+ },
893
+ {
894
+ "epoch": 2.52,
895
+ "grad_norm": 5.242233985299832,
896
+ "learning_rate": 5.799405938459175e-06,
897
+ "loss": 0.4513,
898
+ "step": 630
899
+ },
900
+ {
901
+ "epoch": 2.54,
902
+ "grad_norm": 4.4422684985992715,
903
+ "learning_rate": 5.730415142812059e-06,
904
+ "loss": 0.4288,
905
+ "step": 635
906
+ },
907
+ {
908
+ "epoch": 2.56,
909
+ "grad_norm": 3.912114397025565,
910
+ "learning_rate": 5.661281951285613e-06,
911
+ "loss": 0.4311,
912
+ "step": 640
913
+ },
914
+ {
915
+ "epoch": 2.58,
916
+ "grad_norm": 5.222721860673294,
917
+ "learning_rate": 5.592019841532507e-06,
918
+ "loss": 0.4648,
919
+ "step": 645
920
+ },
921
+ {
922
+ "epoch": 2.6,
923
+ "grad_norm": 4.724149942564251,
924
+ "learning_rate": 5.522642316338268e-06,
925
+ "loss": 0.4277,
926
+ "step": 650
927
+ },
928
+ {
929
+ "epoch": 2.62,
930
+ "grad_norm": 4.491400560249321,
931
+ "learning_rate": 5.453162900988902e-06,
932
+ "loss": 0.4369,
933
+ "step": 655
934
+ },
935
+ {
936
+ "epoch": 2.64,
937
+ "grad_norm": 4.8746449468292585,
938
+ "learning_rate": 5.383595140634093e-06,
939
+ "loss": 0.4079,
940
+ "step": 660
941
+ },
942
+ {
943
+ "epoch": 2.66,
944
+ "grad_norm": 3.82569667633887,
945
+ "learning_rate": 5.3139525976465675e-06,
946
+ "loss": 0.4441,
947
+ "step": 665
948
+ },
949
+ {
950
+ "epoch": 2.68,
951
+ "grad_norm": 4.346847846602506,
952
+ "learning_rate": 5.244248848978067e-06,
953
+ "loss": 0.45,
954
+ "step": 670
955
+ },
956
+ {
957
+ "epoch": 2.7,
958
+ "grad_norm": 4.388123844206694,
959
+ "learning_rate": 5.174497483512506e-06,
960
+ "loss": 0.4226,
961
+ "step": 675
962
+ },
963
+ {
964
+ "epoch": 2.7199999999999998,
965
+ "grad_norm": 4.9729250460950185,
966
+ "learning_rate": 5.1047120994167855e-06,
967
+ "loss": 0.4362,
968
+ "step": 680
969
+ },
970
+ {
971
+ "epoch": 2.74,
972
+ "grad_norm": 4.062911661829956,
973
+ "learning_rate": 5.034906301489808e-06,
974
+ "loss": 0.421,
975
+ "step": 685
976
+ },
977
+ {
978
+ "epoch": 2.76,
979
+ "grad_norm": 3.985815433151041,
980
+ "learning_rate": 4.965093698510192e-06,
981
+ "loss": 0.4436,
982
+ "step": 690
983
+ },
984
+ {
985
+ "epoch": 2.7800000000000002,
986
+ "grad_norm": 5.323464036561023,
987
+ "learning_rate": 4.895287900583216e-06,
988
+ "loss": 0.4503,
989
+ "step": 695
990
+ },
991
+ {
992
+ "epoch": 2.8,
993
+ "grad_norm": 5.374509098625144,
994
+ "learning_rate": 4.825502516487497e-06,
995
+ "loss": 0.4453,
996
+ "step": 700
997
+ },
998
+ {
999
+ "epoch": 2.82,
1000
+ "grad_norm": 4.590575855627389,
1001
+ "learning_rate": 4.755751151021934e-06,
1002
+ "loss": 0.4284,
1003
+ "step": 705
1004
+ },
1005
+ {
1006
+ "epoch": 2.84,
1007
+ "grad_norm": 4.509037906020891,
1008
+ "learning_rate": 4.686047402353433e-06,
1009
+ "loss": 0.4553,
1010
+ "step": 710
1011
+ },
1012
+ {
1013
+ "epoch": 2.86,
1014
+ "grad_norm": 4.565251181592848,
1015
+ "learning_rate": 4.6164048593659076e-06,
1016
+ "loss": 0.4313,
1017
+ "step": 715
1018
+ },
1019
+ {
1020
+ "epoch": 2.88,
1021
+ "grad_norm": 4.2913762971120155,
1022
+ "learning_rate": 4.546837099011101e-06,
1023
+ "loss": 0.4071,
1024
+ "step": 720
1025
+ },
1026
+ {
1027
+ "epoch": 2.9,
1028
+ "grad_norm": 5.0125093823770905,
1029
+ "learning_rate": 4.477357683661734e-06,
1030
+ "loss": 0.4263,
1031
+ "step": 725
1032
+ },
1033
+ {
1034
+ "epoch": 2.92,
1035
+ "grad_norm": 5.618873097905976,
1036
+ "learning_rate": 4.4079801584674955e-06,
1037
+ "loss": 0.4501,
1038
+ "step": 730
1039
+ },
1040
+ {
1041
+ "epoch": 2.94,
1042
+ "grad_norm": 6.075104024673319,
1043
+ "learning_rate": 4.3387180487143875e-06,
1044
+ "loss": 0.4389,
1045
+ "step": 735
1046
+ },
1047
+ {
1048
+ "epoch": 2.96,
1049
+ "grad_norm": 4.00631519669371,
1050
+ "learning_rate": 4.269584857187942e-06,
1051
+ "loss": 0.4373,
1052
+ "step": 740
1053
+ },
1054
+ {
1055
+ "epoch": 2.98,
1056
+ "grad_norm": 4.705162020934786,
1057
+ "learning_rate": 4.200594061540827e-06,
1058
+ "loss": 0.4389,
1059
+ "step": 745
1060
+ },
1061
+ {
1062
+ "epoch": 3.0,
1063
+ "grad_norm": 5.44214376188593,
1064
+ "learning_rate": 4.131759111665349e-06,
1065
+ "loss": 0.3925,
1066
+ "step": 750
1067
+ },
1068
+ {
1069
+ "epoch": 3.02,
1070
+ "grad_norm": 2.7924019809148586,
1071
+ "learning_rate": 4.063093427071376e-06,
1072
+ "loss": 0.2656,
1073
+ "step": 755
1074
+ },
1075
+ {
1076
+ "epoch": 3.04,
1077
+ "grad_norm": 3.104774247282136,
1078
+ "learning_rate": 3.994610394270178e-06,
1079
+ "loss": 0.2405,
1080
+ "step": 760
1081
+ },
1082
+ {
1083
+ "epoch": 3.06,
1084
+ "grad_norm": 3.343609631464514,
1085
+ "learning_rate": 3.926323364164684e-06,
1086
+ "loss": 0.2467,
1087
+ "step": 765
1088
+ },
1089
+ {
1090
+ "epoch": 3.08,
1091
+ "grad_norm": 3.419736245359143,
1092
+ "learning_rate": 3.8582456494467214e-06,
1093
+ "loss": 0.2723,
1094
+ "step": 770
1095
+ },
1096
+ {
1097
+ "epoch": 3.1,
1098
+ "grad_norm": 3.8565429188392186,
1099
+ "learning_rate": 3.790390522001662e-06,
1100
+ "loss": 0.2657,
1101
+ "step": 775
1102
+ },
1103
+ {
1104
+ "epoch": 3.12,
1105
+ "grad_norm": 4.254486576860473,
1106
+ "learning_rate": 3.7227712103210485e-06,
1107
+ "loss": 0.2665,
1108
+ "step": 780
1109
+ },
1110
+ {
1111
+ "epoch": 3.14,
1112
+ "grad_norm": 3.665505016144709,
1113
+ "learning_rate": 3.655400896923672e-06,
1114
+ "loss": 0.2622,
1115
+ "step": 785
1116
+ },
1117
+ {
1118
+ "epoch": 3.16,
1119
+ "grad_norm": 2.8301720206592416,
1120
+ "learning_rate": 3.5882927157856175e-06,
1121
+ "loss": 0.2619,
1122
+ "step": 790
1123
+ },
1124
+ {
1125
+ "epoch": 3.18,
1126
+ "grad_norm": 3.693549461824111,
1127
+ "learning_rate": 3.521459749779769e-06,
1128
+ "loss": 0.2512,
1129
+ "step": 795
1130
+ },
1131
+ {
1132
+ "epoch": 3.2,
1133
+ "grad_norm": 3.5206986483032723,
1134
+ "learning_rate": 3.4549150281252635e-06,
1135
+ "loss": 0.2526,
1136
+ "step": 800
1137
+ },
1138
+ {
1139
+ "epoch": 3.22,
1140
+ "grad_norm": 3.3748884588505828,
1141
+ "learning_rate": 3.3886715238474454e-06,
1142
+ "loss": 0.2602,
1143
+ "step": 805
1144
+ },
1145
+ {
1146
+ "epoch": 3.24,
1147
+ "grad_norm": 2.967732786836979,
1148
+ "learning_rate": 3.322742151248726e-06,
1149
+ "loss": 0.2606,
1150
+ "step": 810
1151
+ },
1152
+ {
1153
+ "epoch": 3.26,
1154
+ "grad_norm": 4.073155951036809,
1155
+ "learning_rate": 3.2571397633909252e-06,
1156
+ "loss": 0.2602,
1157
+ "step": 815
1158
+ },
1159
+ {
1160
+ "epoch": 3.2800000000000002,
1161
+ "grad_norm": 3.1633808640117236,
1162
+ "learning_rate": 3.1918771495895395e-06,
1163
+ "loss": 0.2455,
1164
+ "step": 820
1165
+ },
1166
+ {
1167
+ "epoch": 3.3,
1168
+ "grad_norm": 3.1430107416422763,
1169
+ "learning_rate": 3.12696703292044e-06,
1170
+ "loss": 0.2532,
1171
+ "step": 825
1172
+ },
1173
+ {
1174
+ "epoch": 3.32,
1175
+ "grad_norm": 4.278015207900964,
1176
+ "learning_rate": 3.0624220677394854e-06,
1177
+ "loss": 0.2491,
1178
+ "step": 830
1179
+ },
1180
+ {
1181
+ "epoch": 3.34,
1182
+ "grad_norm": 4.508283169888662,
1183
+ "learning_rate": 2.9982548372155264e-06,
1184
+ "loss": 0.2698,
1185
+ "step": 835
1186
+ },
1187
+ {
1188
+ "epoch": 3.36,
1189
+ "grad_norm": 3.3985357213270353,
1190
+ "learning_rate": 2.934477850877292e-06,
1191
+ "loss": 0.271,
1192
+ "step": 840
1193
+ },
1194
+ {
1195
+ "epoch": 3.38,
1196
+ "grad_norm": 4.3177739641475625,
1197
+ "learning_rate": 2.871103542174637e-06,
1198
+ "loss": 0.2723,
1199
+ "step": 845
1200
+ },
1201
+ {
1202
+ "epoch": 3.4,
1203
+ "grad_norm": 3.6904622227059964,
1204
+ "learning_rate": 2.8081442660546126e-06,
1205
+ "loss": 0.2593,
1206
+ "step": 850
1207
+ },
1208
+ {
1209
+ "epoch": 3.42,
1210
+ "grad_norm": 2.9293826019569074,
1211
+ "learning_rate": 2.7456122965528475e-06,
1212
+ "loss": 0.2617,
1213
+ "step": 855
1214
+ },
1215
+ {
1216
+ "epoch": 3.44,
1217
+ "grad_norm": 3.290303151322462,
1218
+ "learning_rate": 2.683519824400693e-06,
1219
+ "loss": 0.2582,
1220
+ "step": 860
1221
+ },
1222
+ {
1223
+ "epoch": 3.46,
1224
+ "grad_norm": 3.2377051712154716,
1225
+ "learning_rate": 2.6218789546486235e-06,
1226
+ "loss": 0.262,
1227
+ "step": 865
1228
+ },
1229
+ {
1230
+ "epoch": 3.48,
1231
+ "grad_norm": 3.968934702000483,
1232
+ "learning_rate": 2.560701704306336e-06,
1233
+ "loss": 0.2527,
1234
+ "step": 870
1235
+ },
1236
+ {
1237
+ "epoch": 3.5,
1238
+ "grad_norm": 2.814982968549524,
1239
+ "learning_rate": 2.5000000000000015e-06,
1240
+ "loss": 0.2547,
1241
+ "step": 875
1242
+ },
1243
+ {
1244
+ "epoch": 3.52,
1245
+ "grad_norm": 2.8738241230711576,
1246
+ "learning_rate": 2.4397856756471435e-06,
1247
+ "loss": 0.2584,
1248
+ "step": 880
1249
+ },
1250
+ {
1251
+ "epoch": 3.54,
1252
+ "grad_norm": 3.2477024834709396,
1253
+ "learning_rate": 2.380070470149605e-06,
1254
+ "loss": 0.2514,
1255
+ "step": 885
1256
+ },
1257
+ {
1258
+ "epoch": 3.56,
1259
+ "grad_norm": 4.0745774880578844,
1260
+ "learning_rate": 2.320866025105016e-06,
1261
+ "loss": 0.266,
1262
+ "step": 890
1263
+ },
1264
+ {
1265
+ "epoch": 3.58,
1266
+ "grad_norm": 3.440405002018834,
1267
+ "learning_rate": 2.2621838825372496e-06,
1268
+ "loss": 0.2637,
1269
+ "step": 895
1270
+ },
1271
+ {
1272
+ "epoch": 3.6,
1273
+ "grad_norm": 3.3065115492957933,
1274
+ "learning_rate": 2.204035482646267e-06,
1275
+ "loss": 0.2589,
1276
+ "step": 900
1277
+ },
1278
+ {
1279
+ "epoch": 3.62,
1280
+ "grad_norm": 2.495985385885236,
1281
+ "learning_rate": 2.146432161577842e-06,
1282
+ "loss": 0.2552,
1283
+ "step": 905
1284
+ },
1285
+ {
1286
+ "epoch": 3.64,
1287
+ "grad_norm": 2.9350609154945473,
1288
+ "learning_rate": 2.0893851492135536e-06,
1289
+ "loss": 0.2549,
1290
+ "step": 910
1291
+ },
1292
+ {
1293
+ "epoch": 3.66,
1294
+ "grad_norm": 3.6046449037840222,
1295
+ "learning_rate": 2.0329055669814936e-06,
1296
+ "loss": 0.2591,
1297
+ "step": 915
1298
+ },
1299
+ {
1300
+ "epoch": 3.68,
1301
+ "grad_norm": 3.5165798523906577,
1302
+ "learning_rate": 1.977004425688126e-06,
1303
+ "loss": 0.2616,
1304
+ "step": 920
1305
+ },
1306
+ {
1307
+ "epoch": 3.7,
1308
+ "grad_norm": 3.126960853099222,
1309
+ "learning_rate": 1.9216926233717087e-06,
1310
+ "loss": 0.2582,
1311
+ "step": 925
1312
+ },
1313
+ {
1314
+ "epoch": 3.7199999999999998,
1315
+ "grad_norm": 3.0303889926026693,
1316
+ "learning_rate": 1.8669809431776991e-06,
1317
+ "loss": 0.2414,
1318
+ "step": 930
1319
+ },
1320
+ {
1321
+ "epoch": 3.74,
1322
+ "grad_norm": 3.4976844042391506,
1323
+ "learning_rate": 1.8128800512565514e-06,
1324
+ "loss": 0.2654,
1325
+ "step": 935
1326
+ },
1327
+ {
1328
+ "epoch": 3.76,
1329
+ "grad_norm": 4.624711265706133,
1330
+ "learning_rate": 1.7594004946843458e-06,
1331
+ "loss": 0.2601,
1332
+ "step": 940
1333
+ },
1334
+ {
1335
+ "epoch": 3.7800000000000002,
1336
+ "grad_norm": 3.1163969659292547,
1337
+ "learning_rate": 1.7065526994065973e-06,
1338
+ "loss": 0.2635,
1339
+ "step": 945
1340
+ },
1341
+ {
1342
+ "epoch": 3.8,
1343
+ "grad_norm": 4.134091674876607,
1344
+ "learning_rate": 1.6543469682057105e-06,
1345
+ "loss": 0.2613,
1346
+ "step": 950
1347
+ },
1348
+ {
1349
+ "epoch": 3.82,
1350
+ "grad_norm": 4.520449029040607,
1351
+ "learning_rate": 1.6027934786924187e-06,
1352
+ "loss": 0.2659,
1353
+ "step": 955
1354
+ },
1355
+ {
1356
+ "epoch": 3.84,
1357
+ "grad_norm": 3.340691260013119,
1358
+ "learning_rate": 1.551902281321651e-06,
1359
+ "loss": 0.263,
1360
+ "step": 960
1361
+ },
1362
+ {
1363
+ "epoch": 3.86,
1364
+ "grad_norm": 3.3324205347544362,
1365
+ "learning_rate": 1.5016832974331725e-06,
1366
+ "loss": 0.2674,
1367
+ "step": 965
1368
+ },
1369
+ {
1370
+ "epoch": 3.88,
1371
+ "grad_norm": 3.1997988068352248,
1372
+ "learning_rate": 1.4521463173173966e-06,
1373
+ "loss": 0.25,
1374
+ "step": 970
1375
+ },
1376
+ {
1377
+ "epoch": 3.9,
1378
+ "grad_norm": 2.4626614462088248,
1379
+ "learning_rate": 1.4033009983067454e-06,
1380
+ "loss": 0.2622,
1381
+ "step": 975
1382
+ },
1383
+ {
1384
+ "epoch": 3.92,
1385
+ "grad_norm": 2.5755921562893342,
1386
+ "learning_rate": 1.3551568628929434e-06,
1387
+ "loss": 0.246,
1388
+ "step": 980
1389
+ },
1390
+ {
1391
+ "epoch": 3.94,
1392
+ "grad_norm": 2.9337304572329717,
1393
+ "learning_rate": 1.3077232968705805e-06,
1394
+ "loss": 0.2403,
1395
+ "step": 985
1396
+ },
1397
+ {
1398
+ "epoch": 3.96,
1399
+ "grad_norm": 3.6309216538671354,
1400
+ "learning_rate": 1.2610095475073415e-06,
1401
+ "loss": 0.2708,
1402
+ "step": 990
1403
+ },
1404
+ {
1405
+ "epoch": 3.98,
1406
+ "grad_norm": 2.6536626242412056,
1407
+ "learning_rate": 1.2150247217412186e-06,
1408
+ "loss": 0.2495,
1409
+ "step": 995
1410
+ },
1411
+ {
1412
+ "epoch": 4.0,
1413
+ "grad_norm": 3.8919822758192404,
1414
+ "learning_rate": 1.1697777844051105e-06,
1415
+ "loss": 0.2763,
1416
+ "step": 1000
1417
+ },
1418
+ {
1419
+ "epoch": 4.02,
1420
+ "grad_norm": 2.6296022264068797,
1421
+ "learning_rate": 1.1252775564791023e-06,
1422
+ "loss": 0.2009,
1423
+ "step": 1005
1424
+ },
1425
+ {
1426
+ "epoch": 4.04,
1427
+ "grad_norm": 2.0687616816587715,
1428
+ "learning_rate": 1.0815327133708015e-06,
1429
+ "loss": 0.1978,
1430
+ "step": 1010
1431
+ },
1432
+ {
1433
+ "epoch": 4.06,
1434
+ "grad_norm": 2.036715506169882,
1435
+ "learning_rate": 1.0385517832240472e-06,
1436
+ "loss": 0.195,
1437
+ "step": 1015
1438
+ },
1439
+ {
1440
+ "epoch": 4.08,
1441
+ "grad_norm": 2.1444679630444647,
1442
+ "learning_rate": 9.963431452563331e-07,
1443
+ "loss": 0.195,
1444
+ "step": 1020
1445
+ },
1446
+ {
1447
+ "epoch": 4.1,
1448
+ "grad_norm": 2.3208387437528306,
1449
+ "learning_rate": 9.549150281252633e-07,
1450
+ "loss": 0.2003,
1451
+ "step": 1025
1452
+ },
1453
+ {
1454
+ "epoch": 4.12,
1455
+ "grad_norm": 2.6475787949798635,
1456
+ "learning_rate": 9.142755083243577e-07,
1457
+ "loss": 0.2012,
1458
+ "step": 1030
1459
+ },
1460
+ {
1461
+ "epoch": 4.14,
1462
+ "grad_norm": 2.0747944566043417,
1463
+ "learning_rate": 8.744325086085248e-07,
1464
+ "loss": 0.1839,
1465
+ "step": 1035
1466
+ },
1467
+ {
1468
+ "epoch": 4.16,
1469
+ "grad_norm": 2.5790204025275174,
1470
+ "learning_rate": 8.353937964495029e-07,
1471
+ "loss": 0.2078,
1472
+ "step": 1040
1473
+ },
1474
+ {
1475
+ "epoch": 4.18,
1476
+ "grad_norm": 2.279012511901917,
1477
+ "learning_rate": 7.971669825215789e-07,
1478
+ "loss": 0.2033,
1479
+ "step": 1045
1480
+ },
1481
+ {
1482
+ "epoch": 4.2,
1483
+ "grad_norm": 2.263082794933402,
1484
+ "learning_rate": 7.597595192178702e-07,
1485
+ "loss": 0.2013,
1486
+ "step": 1050
1487
+ },
1488
+ {
1489
+ "epoch": 4.22,
1490
+ "grad_norm": 1.746174251156355,
1491
+ "learning_rate": 7.23178699197467e-07,
1492
+ "loss": 0.1942,
1493
+ "step": 1055
1494
+ },
1495
+ {
1496
+ "epoch": 4.24,
1497
+ "grad_norm": 1.8889622200380844,
1498
+ "learning_rate": 6.874316539637127e-07,
1499
+ "loss": 0.192,
1500
+ "step": 1060
1501
+ },
1502
+ {
1503
+ "epoch": 4.26,
1504
+ "grad_norm": 1.9542919003413253,
1505
+ "learning_rate": 6.52525352473905e-07,
1506
+ "loss": 0.2073,
1507
+ "step": 1065
1508
+ },
1509
+ {
1510
+ "epoch": 4.28,
1511
+ "grad_norm": 2.110295600169004,
1512
+ "learning_rate": 6.184665997806832e-07,
1513
+ "loss": 0.1926,
1514
+ "step": 1070
1515
+ },
1516
+ {
1517
+ "epoch": 4.3,
1518
+ "grad_norm": 2.2234924989126563,
1519
+ "learning_rate": 5.852620357053651e-07,
1520
+ "loss": 0.2033,
1521
+ "step": 1075
1522
+ },
1523
+ {
1524
+ "epoch": 4.32,
1525
+ "grad_norm": 2.6413829746557504,
1526
+ "learning_rate": 5.529181335435124e-07,
1527
+ "loss": 0.198,
1528
+ "step": 1080
1529
+ },
1530
+ {
1531
+ "epoch": 4.34,
1532
+ "grad_norm": 2.097744663828809,
1533
+ "learning_rate": 5.214411988029355e-07,
1534
+ "loss": 0.2017,
1535
+ "step": 1085
1536
+ },
1537
+ {
1538
+ "epoch": 4.36,
1539
+ "grad_norm": 2.3107650980894263,
1540
+ "learning_rate": 4.908373679744316e-07,
1541
+ "loss": 0.2004,
1542
+ "step": 1090
1543
+ },
1544
+ {
1545
+ "epoch": 4.38,
1546
+ "grad_norm": 2.0392932247609665,
1547
+ "learning_rate": 4.6111260733545714e-07,
1548
+ "loss": 0.1978,
1549
+ "step": 1095
1550
+ },
1551
+ {
1552
+ "epoch": 4.4,
1553
+ "grad_norm": 1.9108697879670782,
1554
+ "learning_rate": 4.322727117869951e-07,
1555
+ "loss": 0.2064,
1556
+ "step": 1100
1557
+ },
1558
+ {
1559
+ "epoch": 4.42,
1560
+ "grad_norm": 2.0940301187428645,
1561
+ "learning_rate": 4.043233037238281e-07,
1562
+ "loss": 0.1992,
1563
+ "step": 1105
1564
+ },
1565
+ {
1566
+ "epoch": 4.44,
1567
+ "grad_norm": 2.1573212002556192,
1568
+ "learning_rate": 3.772698319384349e-07,
1569
+ "loss": 0.1978,
1570
+ "step": 1110
1571
+ },
1572
+ {
1573
+ "epoch": 4.46,
1574
+ "grad_norm": 1.7681339799095577,
1575
+ "learning_rate": 3.511175705587433e-07,
1576
+ "loss": 0.1949,
1577
+ "step": 1115
1578
+ },
1579
+ {
1580
+ "epoch": 4.48,
1581
+ "grad_norm": 2.6507223455216335,
1582
+ "learning_rate": 3.258716180199278e-07,
1583
+ "loss": 0.1974,
1584
+ "step": 1120
1585
+ },
1586
+ {
1587
+ "epoch": 4.5,
1588
+ "grad_norm": 4.899195247798816,
1589
+ "learning_rate": 3.015368960704584e-07,
1590
+ "loss": 0.1951,
1591
+ "step": 1125
1592
+ },
1593
+ {
1594
+ "epoch": 4.52,
1595
+ "grad_norm": 2.362208067582404,
1596
+ "learning_rate": 2.7811814881259503e-07,
1597
+ "loss": 0.1898,
1598
+ "step": 1130
1599
+ },
1600
+ {
1601
+ "epoch": 4.54,
1602
+ "grad_norm": 1.9828163543826154,
1603
+ "learning_rate": 2.556199417775174e-07,
1604
+ "loss": 0.2081,
1605
+ "step": 1135
1606
+ },
1607
+ {
1608
+ "epoch": 4.5600000000000005,
1609
+ "grad_norm": 1.9187249803005326,
1610
+ "learning_rate": 2.3404666103526542e-07,
1611
+ "loss": 0.2027,
1612
+ "step": 1140
1613
+ },
1614
+ {
1615
+ "epoch": 4.58,
1616
+ "grad_norm": 2.050797728763808,
1617
+ "learning_rate": 2.134025123396638e-07,
1618
+ "loss": 0.195,
1619
+ "step": 1145
1620
+ },
1621
+ {
1622
+ "epoch": 4.6,
1623
+ "grad_norm": 2.434262719508876,
1624
+ "learning_rate": 1.9369152030840553e-07,
1625
+ "loss": 0.1935,
1626
+ "step": 1150
1627
+ },
1628
+ {
1629
+ "epoch": 4.62,
1630
+ "grad_norm": 2.7114986108898496,
1631
+ "learning_rate": 1.7491752763844294e-07,
1632
+ "loss": 0.201,
1633
+ "step": 1155
1634
+ },
1635
+ {
1636
+ "epoch": 4.64,
1637
+ "grad_norm": 2.342848968749728,
1638
+ "learning_rate": 1.5708419435684463e-07,
1639
+ "loss": 0.2045,
1640
+ "step": 1160
1641
+ },
1642
+ {
1643
+ "epoch": 4.66,
1644
+ "grad_norm": 2.50611015184642,
1645
+ "learning_rate": 1.4019499710726913e-07,
1646
+ "loss": 0.2037,
1647
+ "step": 1165
1648
+ },
1649
+ {
1650
+ "epoch": 4.68,
1651
+ "grad_norm": 1.9845962796916226,
1652
+ "learning_rate": 1.2425322847218368e-07,
1653
+ "loss": 0.1902,
1654
+ "step": 1170
1655
+ },
1656
+ {
1657
+ "epoch": 4.7,
1658
+ "grad_norm": 2.066929322984826,
1659
+ "learning_rate": 1.0926199633097156e-07,
1660
+ "loss": 0.1956,
1661
+ "step": 1175
1662
+ },
1663
+ {
1664
+ "epoch": 4.72,
1665
+ "grad_norm": 2.4138648473696853,
1666
+ "learning_rate": 9.522422325404234e-08,
1667
+ "loss": 0.1985,
1668
+ "step": 1180
1669
+ },
1670
+ {
1671
+ "epoch": 4.74,
1672
+ "grad_norm": 2.911095557310394,
1673
+ "learning_rate": 8.214264593307097e-08,
1674
+ "loss": 0.1965,
1675
+ "step": 1185
1676
+ },
1677
+ {
1678
+ "epoch": 4.76,
1679
+ "grad_norm": 2.030674439873152,
1680
+ "learning_rate": 7.001981464747565e-08,
1681
+ "loss": 0.1905,
1682
+ "step": 1190
1683
+ },
1684
+ {
1685
+ "epoch": 4.78,
1686
+ "grad_norm": 2.5046761639631696,
1687
+ "learning_rate": 5.8858092767236084e-08,
1688
+ "loss": 0.2016,
1689
+ "step": 1195
1690
+ },
1691
+ {
1692
+ "epoch": 4.8,
1693
+ "grad_norm": 2.6259164045048715,
1694
+ "learning_rate": 4.865965629214819e-08,
1695
+ "loss": 0.1991,
1696
+ "step": 1200
1697
+ },
1698
+ {
1699
+ "epoch": 4.82,
1700
+ "grad_norm": 2.5096024708693725,
1701
+ "learning_rate": 3.9426493427611177e-08,
1702
+ "loss": 0.1987,
1703
+ "step": 1205
1704
+ },
1705
+ {
1706
+ "epoch": 4.84,
1707
+ "grad_norm": 2.1146883842387783,
1708
+ "learning_rate": 3.1160404197018155e-08,
1709
+ "loss": 0.1915,
1710
+ "step": 1210
1711
+ },
1712
+ {
1713
+ "epoch": 4.86,
1714
+ "grad_norm": 2.1798112190278136,
1715
+ "learning_rate": 2.386300009084408e-08,
1716
+ "loss": 0.2055,
1717
+ "step": 1215
1718
+ },
1719
+ {
1720
+ "epoch": 4.88,
1721
+ "grad_norm": 2.1283754821360152,
1722
+ "learning_rate": 1.753570375247815e-08,
1723
+ "loss": 0.1941,
1724
+ "step": 1220
1725
+ },
1726
+ {
1727
+ "epoch": 4.9,
1728
+ "grad_norm": 2.945625263690615,
1729
+ "learning_rate": 1.2179748700879013e-08,
1730
+ "loss": 0.2051,
1731
+ "step": 1225
1732
+ },
1733
+ {
1734
+ "epoch": 4.92,
1735
+ "grad_norm": 2.3318033551646793,
1736
+ "learning_rate": 7.796179090094891e-09,
1737
+ "loss": 0.1929,
1738
+ "step": 1230
1739
+ },
1740
+ {
1741
+ "epoch": 4.9399999999999995,
1742
+ "grad_norm": 2.7773560139669944,
1743
+ "learning_rate": 4.385849505708084e-09,
1744
+ "loss": 0.1958,
1745
+ "step": 1235
1746
+ },
1747
+ {
1748
+ "epoch": 4.96,
1749
+ "grad_norm": 2.2518024677328685,
1750
+ "learning_rate": 1.9494247982282386e-09,
1751
+ "loss": 0.2032,
1752
+ "step": 1240
1753
+ },
1754
+ {
1755
+ "epoch": 4.98,
1756
+ "grad_norm": 2.0203646274765132,
1757
+ "learning_rate": 4.87379953478806e-10,
1758
+ "loss": 0.2075,
1759
+ "step": 1245
1760
+ },
1761
+ {
1762
+ "epoch": 5.0,
1763
+ "grad_norm": 2.9166287851342645,
1764
+ "learning_rate": 0.0,
1765
+ "loss": 0.1981,
1766
+ "step": 1250
1767
+ },
1768
+ {
1769
+ "epoch": 5.0,
1770
+ "step": 1250,
1771
+ "total_flos": 2442779688960.0,
1772
+ "train_loss": 0.6922085983276367,
1773
+ "train_runtime": 19109.4525,
1774
+ "train_samples_per_second": 1.047,
1775
+ "train_steps_per_second": 0.065
1776
+ }
1777
+ ],
1778
+ "logging_steps": 5,
1779
+ "max_steps": 1250,
1780
+ "num_input_tokens_seen": 0,
1781
+ "num_train_epochs": 5,
1782
+ "save_steps": 100,
1783
+ "stateful_callbacks": {
1784
+ "TrainerControl": {
1785
+ "args": {
1786
+ "should_epoch_stop": false,
1787
+ "should_evaluate": false,
1788
+ "should_log": false,
1789
+ "should_save": true,
1790
+ "should_training_stop": true
1791
+ },
1792
+ "attributes": {}
1793
+ }
1794
+ },
1795
+ "total_flos": 2442779688960.0,
1796
+ "train_batch_size": 4,
1797
+ "trial_name": null,
1798
+ "trial_params": null
1799
+ }