hwm21 commited on
Commit
b9d4269
1 Parent(s): a934d6e

Training in progress, step 13500, checkpoint

Browse files
checkpoint-13500/config.json ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/detr-resnet-50-dc5",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "relu",
5
+ "architectures": [
6
+ "DetrForObjectDetection"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "auxiliary_loss": false,
10
+ "backbone": "resnet50",
11
+ "backbone_config": null,
12
+ "backbone_kwargs": {
13
+ "in_chans": 3,
14
+ "out_indices": [
15
+ 1,
16
+ 2,
17
+ 3,
18
+ 4
19
+ ],
20
+ "output_stride": 16
21
+ },
22
+ "bbox_cost": 5,
23
+ "bbox_loss_coefficient": 5,
24
+ "class_cost": 1,
25
+ "classifier_dropout": 0.0,
26
+ "d_model": 256,
27
+ "decoder_attention_heads": 8,
28
+ "decoder_ffn_dim": 2048,
29
+ "decoder_layerdrop": 0.0,
30
+ "decoder_layers": 6,
31
+ "dice_loss_coefficient": 1,
32
+ "dilation": true,
33
+ "dropout": 0.1,
34
+ "encoder_attention_heads": 8,
35
+ "encoder_ffn_dim": 2048,
36
+ "encoder_layerdrop": 0.0,
37
+ "encoder_layers": 6,
38
+ "eos_coefficient": 0.1,
39
+ "giou_cost": 2,
40
+ "giou_loss_coefficient": 2,
41
+ "id2label": {
42
+ "0": "segment"
43
+ },
44
+ "init_std": 0.02,
45
+ "init_xavier_std": 1.0,
46
+ "is_encoder_decoder": true,
47
+ "label2id": {
48
+ "segment": 0
49
+ },
50
+ "mask_loss_coefficient": 1,
51
+ "max_position_embeddings": 1024,
52
+ "model_type": "detr",
53
+ "num_channels": 3,
54
+ "num_hidden_layers": 6,
55
+ "num_queries": 500,
56
+ "position_embedding_type": "sine",
57
+ "scale_embedding": false,
58
+ "torch_dtype": "float32",
59
+ "transformers_version": "4.44.2",
60
+ "use_pretrained_backbone": true,
61
+ "use_timm_backbone": true
62
+ }
checkpoint-13500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dea9414f2be6ba09331128ce62c994c3d7e58d1acb9cd2927a571effa6b50e1e
3
+ size 166904424
checkpoint-13500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f921a12f20344a98dabc6d46e396791c82f7ba6655c63cbaa761dea31a4519b
3
+ size 331310970
checkpoint-13500/preprocessor_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_annotations": true,
3
+ "do_normalize": true,
4
+ "do_pad": true,
5
+ "do_rescale": true,
6
+ "do_resize": true,
7
+ "format": "coco_detection",
8
+ "image_mean": [
9
+ 0.485,
10
+ 0.456,
11
+ 0.406
12
+ ],
13
+ "image_processor_type": "DetrImageProcessor",
14
+ "image_std": [
15
+ 0.229,
16
+ 0.224,
17
+ 0.225
18
+ ],
19
+ "pad_size": null,
20
+ "resample": 2,
21
+ "rescale_factor": 0.00392156862745098,
22
+ "size": {
23
+ "longest_edge": 1333,
24
+ "shortest_edge": 800
25
+ }
26
+ }
checkpoint-13500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeeea006c075d2b84da2007b27b60acd292fb804595efd17a1a53acb550c82e8
3
+ size 14244
checkpoint-13500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b9c21148753cf023b1a1be5dd9ccef8b2b568be53afaf78dcde3d5abb9fb4a16
3
+ size 1064
checkpoint-13500/trainer_state.json ADDED
@@ -0,0 +1,2058 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 69.23076923076923,
5
+ "eval_steps": 100,
6
+ "global_step": 13500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.5128205128205128,
13
+ "grad_norm": 81.8341293334961,
14
+ "learning_rate": 9.990900000000001e-06,
15
+ "loss": 3.5606,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.5128205128205128,
20
+ "eval_loss": 2.2667126655578613,
21
+ "eval_runtime": 33.7385,
22
+ "eval_samples_per_second": 11.648,
23
+ "eval_steps_per_second": 1.482,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 1.0256410256410255,
28
+ "grad_norm": 30.16681671142578,
29
+ "learning_rate": 9.980900000000001e-06,
30
+ "loss": 2.1841,
31
+ "step": 200
32
+ },
33
+ {
34
+ "epoch": 1.0256410256410255,
35
+ "eval_loss": 2.059685230255127,
36
+ "eval_runtime": 33.6897,
37
+ "eval_samples_per_second": 11.665,
38
+ "eval_steps_per_second": 1.484,
39
+ "step": 200
40
+ },
41
+ {
42
+ "epoch": 1.5384615384615383,
43
+ "grad_norm": 67.16844177246094,
44
+ "learning_rate": 9.970900000000001e-06,
45
+ "loss": 2.0949,
46
+ "step": 300
47
+ },
48
+ {
49
+ "epoch": 1.5384615384615383,
50
+ "eval_loss": 1.9054155349731445,
51
+ "eval_runtime": 33.6472,
52
+ "eval_samples_per_second": 11.68,
53
+ "eval_steps_per_second": 1.486,
54
+ "step": 300
55
+ },
56
+ {
57
+ "epoch": 2.051282051282051,
58
+ "grad_norm": 46.190330505371094,
59
+ "learning_rate": 9.960900000000001e-06,
60
+ "loss": 1.9236,
61
+ "step": 400
62
+ },
63
+ {
64
+ "epoch": 2.051282051282051,
65
+ "eval_loss": 1.8464823961257935,
66
+ "eval_runtime": 33.8143,
67
+ "eval_samples_per_second": 11.622,
68
+ "eval_steps_per_second": 1.479,
69
+ "step": 400
70
+ },
71
+ {
72
+ "epoch": 2.564102564102564,
73
+ "grad_norm": 42.82326889038086,
74
+ "learning_rate": 9.950900000000002e-06,
75
+ "loss": 1.937,
76
+ "step": 500
77
+ },
78
+ {
79
+ "epoch": 2.564102564102564,
80
+ "eval_loss": 1.8186373710632324,
81
+ "eval_runtime": 33.9112,
82
+ "eval_samples_per_second": 11.589,
83
+ "eval_steps_per_second": 1.474,
84
+ "step": 500
85
+ },
86
+ {
87
+ "epoch": 3.076923076923077,
88
+ "grad_norm": 68.72016906738281,
89
+ "learning_rate": 9.940900000000002e-06,
90
+ "loss": 1.8648,
91
+ "step": 600
92
+ },
93
+ {
94
+ "epoch": 3.076923076923077,
95
+ "eval_loss": 1.7807129621505737,
96
+ "eval_runtime": 33.4957,
97
+ "eval_samples_per_second": 11.733,
98
+ "eval_steps_per_second": 1.493,
99
+ "step": 600
100
+ },
101
+ {
102
+ "epoch": 3.58974358974359,
103
+ "grad_norm": 51.390071868896484,
104
+ "learning_rate": 9.930900000000002e-06,
105
+ "loss": 1.8162,
106
+ "step": 700
107
+ },
108
+ {
109
+ "epoch": 3.58974358974359,
110
+ "eval_loss": 1.7275961637496948,
111
+ "eval_runtime": 33.6095,
112
+ "eval_samples_per_second": 11.693,
113
+ "eval_steps_per_second": 1.488,
114
+ "step": 700
115
+ },
116
+ {
117
+ "epoch": 4.102564102564102,
118
+ "grad_norm": 33.017948150634766,
119
+ "learning_rate": 9.920900000000002e-06,
120
+ "loss": 1.7331,
121
+ "step": 800
122
+ },
123
+ {
124
+ "epoch": 4.102564102564102,
125
+ "eval_loss": 1.701725959777832,
126
+ "eval_runtime": 33.9602,
127
+ "eval_samples_per_second": 11.572,
128
+ "eval_steps_per_second": 1.472,
129
+ "step": 800
130
+ },
131
+ {
132
+ "epoch": 4.615384615384615,
133
+ "grad_norm": 43.55423355102539,
134
+ "learning_rate": 9.9109e-06,
135
+ "loss": 1.7091,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 4.615384615384615,
140
+ "eval_loss": 1.6944857835769653,
141
+ "eval_runtime": 33.6785,
142
+ "eval_samples_per_second": 11.669,
143
+ "eval_steps_per_second": 1.485,
144
+ "step": 900
145
+ },
146
+ {
147
+ "epoch": 5.128205128205128,
148
+ "grad_norm": 67.6618881225586,
149
+ "learning_rate": 9.9009e-06,
150
+ "loss": 1.7258,
151
+ "step": 1000
152
+ },
153
+ {
154
+ "epoch": 5.128205128205128,
155
+ "eval_loss": 1.65646493434906,
156
+ "eval_runtime": 33.8316,
157
+ "eval_samples_per_second": 11.616,
158
+ "eval_steps_per_second": 1.478,
159
+ "step": 1000
160
+ },
161
+ {
162
+ "epoch": 5.641025641025641,
163
+ "grad_norm": 35.863487243652344,
164
+ "learning_rate": 9.8909e-06,
165
+ "loss": 1.661,
166
+ "step": 1100
167
+ },
168
+ {
169
+ "epoch": 5.641025641025641,
170
+ "eval_loss": 1.6175495386123657,
171
+ "eval_runtime": 33.57,
172
+ "eval_samples_per_second": 11.707,
173
+ "eval_steps_per_second": 1.489,
174
+ "step": 1100
175
+ },
176
+ {
177
+ "epoch": 6.153846153846154,
178
+ "grad_norm": 56.98338317871094,
179
+ "learning_rate": 9.8809e-06,
180
+ "loss": 1.6368,
181
+ "step": 1200
182
+ },
183
+ {
184
+ "epoch": 6.153846153846154,
185
+ "eval_loss": 1.6185818910598755,
186
+ "eval_runtime": 33.6954,
187
+ "eval_samples_per_second": 11.663,
188
+ "eval_steps_per_second": 1.484,
189
+ "step": 1200
190
+ },
191
+ {
192
+ "epoch": 6.666666666666667,
193
+ "grad_norm": 90.9850845336914,
194
+ "learning_rate": 9.8709e-06,
195
+ "loss": 1.6771,
196
+ "step": 1300
197
+ },
198
+ {
199
+ "epoch": 6.666666666666667,
200
+ "eval_loss": 1.597514033317566,
201
+ "eval_runtime": 33.5635,
202
+ "eval_samples_per_second": 11.709,
203
+ "eval_steps_per_second": 1.49,
204
+ "step": 1300
205
+ },
206
+ {
207
+ "epoch": 7.17948717948718,
208
+ "grad_norm": 83.6468276977539,
209
+ "learning_rate": 9.8609e-06,
210
+ "loss": 1.5796,
211
+ "step": 1400
212
+ },
213
+ {
214
+ "epoch": 7.17948717948718,
215
+ "eval_loss": 1.57249116897583,
216
+ "eval_runtime": 33.6053,
217
+ "eval_samples_per_second": 11.695,
218
+ "eval_steps_per_second": 1.488,
219
+ "step": 1400
220
+ },
221
+ {
222
+ "epoch": 7.6923076923076925,
223
+ "grad_norm": 42.52065658569336,
224
+ "learning_rate": 9.8509e-06,
225
+ "loss": 1.6012,
226
+ "step": 1500
227
+ },
228
+ {
229
+ "epoch": 7.6923076923076925,
230
+ "eval_loss": 1.5940505266189575,
231
+ "eval_runtime": 33.6416,
232
+ "eval_samples_per_second": 11.682,
233
+ "eval_steps_per_second": 1.486,
234
+ "step": 1500
235
+ },
236
+ {
237
+ "epoch": 8.205128205128204,
238
+ "grad_norm": 64.46149444580078,
239
+ "learning_rate": 9.840900000000001e-06,
240
+ "loss": 1.6107,
241
+ "step": 1600
242
+ },
243
+ {
244
+ "epoch": 8.205128205128204,
245
+ "eval_loss": 1.57711923122406,
246
+ "eval_runtime": 33.8072,
247
+ "eval_samples_per_second": 11.625,
248
+ "eval_steps_per_second": 1.479,
249
+ "step": 1600
250
+ },
251
+ {
252
+ "epoch": 8.717948717948717,
253
+ "grad_norm": 47.13843536376953,
254
+ "learning_rate": 9.830900000000001e-06,
255
+ "loss": 1.6094,
256
+ "step": 1700
257
+ },
258
+ {
259
+ "epoch": 8.717948717948717,
260
+ "eval_loss": 1.5567021369934082,
261
+ "eval_runtime": 33.6256,
262
+ "eval_samples_per_second": 11.688,
263
+ "eval_steps_per_second": 1.487,
264
+ "step": 1700
265
+ },
266
+ {
267
+ "epoch": 9.23076923076923,
268
+ "grad_norm": 60.96649932861328,
269
+ "learning_rate": 9.820900000000001e-06,
270
+ "loss": 1.5679,
271
+ "step": 1800
272
+ },
273
+ {
274
+ "epoch": 9.23076923076923,
275
+ "eval_loss": 1.5404459238052368,
276
+ "eval_runtime": 33.5651,
277
+ "eval_samples_per_second": 11.709,
278
+ "eval_steps_per_second": 1.49,
279
+ "step": 1800
280
+ },
281
+ {
282
+ "epoch": 9.743589743589745,
283
+ "grad_norm": 48.0488395690918,
284
+ "learning_rate": 9.810900000000001e-06,
285
+ "loss": 1.541,
286
+ "step": 1900
287
+ },
288
+ {
289
+ "epoch": 9.743589743589745,
290
+ "eval_loss": 1.5000860691070557,
291
+ "eval_runtime": 33.729,
292
+ "eval_samples_per_second": 11.652,
293
+ "eval_steps_per_second": 1.482,
294
+ "step": 1900
295
+ },
296
+ {
297
+ "epoch": 10.256410256410255,
298
+ "grad_norm": 21.072124481201172,
299
+ "learning_rate": 9.800900000000001e-06,
300
+ "loss": 1.4747,
301
+ "step": 2000
302
+ },
303
+ {
304
+ "epoch": 10.256410256410255,
305
+ "eval_loss": 1.4845048189163208,
306
+ "eval_runtime": 33.6789,
307
+ "eval_samples_per_second": 11.669,
308
+ "eval_steps_per_second": 1.485,
309
+ "step": 2000
310
+ },
311
+ {
312
+ "epoch": 10.76923076923077,
313
+ "grad_norm": 60.55208969116211,
314
+ "learning_rate": 9.790900000000001e-06,
315
+ "loss": 1.5105,
316
+ "step": 2100
317
+ },
318
+ {
319
+ "epoch": 10.76923076923077,
320
+ "eval_loss": 1.4587421417236328,
321
+ "eval_runtime": 33.4313,
322
+ "eval_samples_per_second": 11.755,
323
+ "eval_steps_per_second": 1.496,
324
+ "step": 2100
325
+ },
326
+ {
327
+ "epoch": 11.282051282051283,
328
+ "grad_norm": 26.457704544067383,
329
+ "learning_rate": 9.780900000000002e-06,
330
+ "loss": 1.4769,
331
+ "step": 2200
332
+ },
333
+ {
334
+ "epoch": 11.282051282051283,
335
+ "eval_loss": 1.4588648080825806,
336
+ "eval_runtime": 33.5978,
337
+ "eval_samples_per_second": 11.697,
338
+ "eval_steps_per_second": 1.488,
339
+ "step": 2200
340
+ },
341
+ {
342
+ "epoch": 11.794871794871796,
343
+ "grad_norm": 23.801916122436523,
344
+ "learning_rate": 9.770900000000002e-06,
345
+ "loss": 1.4555,
346
+ "step": 2300
347
+ },
348
+ {
349
+ "epoch": 11.794871794871796,
350
+ "eval_loss": 1.4805899858474731,
351
+ "eval_runtime": 33.4947,
352
+ "eval_samples_per_second": 11.733,
353
+ "eval_steps_per_second": 1.493,
354
+ "step": 2300
355
+ },
356
+ {
357
+ "epoch": 12.307692307692308,
358
+ "grad_norm": 24.780275344848633,
359
+ "learning_rate": 9.760900000000002e-06,
360
+ "loss": 1.4537,
361
+ "step": 2400
362
+ },
363
+ {
364
+ "epoch": 12.307692307692308,
365
+ "eval_loss": 1.4648451805114746,
366
+ "eval_runtime": 33.6877,
367
+ "eval_samples_per_second": 11.666,
368
+ "eval_steps_per_second": 1.484,
369
+ "step": 2400
370
+ },
371
+ {
372
+ "epoch": 12.820512820512821,
373
+ "grad_norm": 65.28894805908203,
374
+ "learning_rate": 9.7509e-06,
375
+ "loss": 1.4788,
376
+ "step": 2500
377
+ },
378
+ {
379
+ "epoch": 12.820512820512821,
380
+ "eval_loss": 1.4453215599060059,
381
+ "eval_runtime": 33.972,
382
+ "eval_samples_per_second": 11.568,
383
+ "eval_steps_per_second": 1.472,
384
+ "step": 2500
385
+ },
386
+ {
387
+ "epoch": 13.333333333333334,
388
+ "grad_norm": 23.36334800720215,
389
+ "learning_rate": 9.7409e-06,
390
+ "loss": 1.4397,
391
+ "step": 2600
392
+ },
393
+ {
394
+ "epoch": 13.333333333333334,
395
+ "eval_loss": 1.4110159873962402,
396
+ "eval_runtime": 33.3905,
397
+ "eval_samples_per_second": 11.77,
398
+ "eval_steps_per_second": 1.497,
399
+ "step": 2600
400
+ },
401
+ {
402
+ "epoch": 13.846153846153847,
403
+ "grad_norm": 24.13091468811035,
404
+ "learning_rate": 9.7309e-06,
405
+ "loss": 1.42,
406
+ "step": 2700
407
+ },
408
+ {
409
+ "epoch": 13.846153846153847,
410
+ "eval_loss": 1.3875733613967896,
411
+ "eval_runtime": 33.5662,
412
+ "eval_samples_per_second": 11.708,
413
+ "eval_steps_per_second": 1.49,
414
+ "step": 2700
415
+ },
416
+ {
417
+ "epoch": 14.35897435897436,
418
+ "grad_norm": 41.02390670776367,
419
+ "learning_rate": 9.7209e-06,
420
+ "loss": 1.3833,
421
+ "step": 2800
422
+ },
423
+ {
424
+ "epoch": 14.35897435897436,
425
+ "eval_loss": 1.3958121538162231,
426
+ "eval_runtime": 33.6111,
427
+ "eval_samples_per_second": 11.693,
428
+ "eval_steps_per_second": 1.488,
429
+ "step": 2800
430
+ },
431
+ {
432
+ "epoch": 14.871794871794872,
433
+ "grad_norm": 25.11317253112793,
434
+ "learning_rate": 9.7109e-06,
435
+ "loss": 1.3839,
436
+ "step": 2900
437
+ },
438
+ {
439
+ "epoch": 14.871794871794872,
440
+ "eval_loss": 1.4024689197540283,
441
+ "eval_runtime": 33.5271,
442
+ "eval_samples_per_second": 11.722,
443
+ "eval_steps_per_second": 1.491,
444
+ "step": 2900
445
+ },
446
+ {
447
+ "epoch": 15.384615384615385,
448
+ "grad_norm": 32.921974182128906,
449
+ "learning_rate": 9.7009e-06,
450
+ "loss": 1.3998,
451
+ "step": 3000
452
+ },
453
+ {
454
+ "epoch": 15.384615384615385,
455
+ "eval_loss": 1.3834290504455566,
456
+ "eval_runtime": 33.4449,
457
+ "eval_samples_per_second": 11.751,
458
+ "eval_steps_per_second": 1.495,
459
+ "step": 3000
460
+ },
461
+ {
462
+ "epoch": 15.897435897435898,
463
+ "grad_norm": 71.14076232910156,
464
+ "learning_rate": 9.6909e-06,
465
+ "loss": 1.3753,
466
+ "step": 3100
467
+ },
468
+ {
469
+ "epoch": 15.897435897435898,
470
+ "eval_loss": 1.371915578842163,
471
+ "eval_runtime": 33.5787,
472
+ "eval_samples_per_second": 11.704,
473
+ "eval_steps_per_second": 1.489,
474
+ "step": 3100
475
+ },
476
+ {
477
+ "epoch": 16.41025641025641,
478
+ "grad_norm": 85.71231842041016,
479
+ "learning_rate": 9.6809e-06,
480
+ "loss": 1.3639,
481
+ "step": 3200
482
+ },
483
+ {
484
+ "epoch": 16.41025641025641,
485
+ "eval_loss": 1.3810721635818481,
486
+ "eval_runtime": 33.5802,
487
+ "eval_samples_per_second": 11.703,
488
+ "eval_steps_per_second": 1.489,
489
+ "step": 3200
490
+ },
491
+ {
492
+ "epoch": 16.923076923076923,
493
+ "grad_norm": 39.7967529296875,
494
+ "learning_rate": 9.670900000000001e-06,
495
+ "loss": 1.3609,
496
+ "step": 3300
497
+ },
498
+ {
499
+ "epoch": 16.923076923076923,
500
+ "eval_loss": 1.3853365182876587,
501
+ "eval_runtime": 33.6581,
502
+ "eval_samples_per_second": 11.676,
503
+ "eval_steps_per_second": 1.486,
504
+ "step": 3300
505
+ },
506
+ {
507
+ "epoch": 17.435897435897434,
508
+ "grad_norm": 19.84697723388672,
509
+ "learning_rate": 9.660900000000001e-06,
510
+ "loss": 1.3314,
511
+ "step": 3400
512
+ },
513
+ {
514
+ "epoch": 17.435897435897434,
515
+ "eval_loss": 1.3581265211105347,
516
+ "eval_runtime": 33.4833,
517
+ "eval_samples_per_second": 11.737,
518
+ "eval_steps_per_second": 1.493,
519
+ "step": 3400
520
+ },
521
+ {
522
+ "epoch": 17.94871794871795,
523
+ "grad_norm": 43.280426025390625,
524
+ "learning_rate": 9.650900000000001e-06,
525
+ "loss": 1.3408,
526
+ "step": 3500
527
+ },
528
+ {
529
+ "epoch": 17.94871794871795,
530
+ "eval_loss": 1.3400689363479614,
531
+ "eval_runtime": 33.4394,
532
+ "eval_samples_per_second": 11.753,
533
+ "eval_steps_per_second": 1.495,
534
+ "step": 3500
535
+ },
536
+ {
537
+ "epoch": 18.46153846153846,
538
+ "grad_norm": 35.393314361572266,
539
+ "learning_rate": 9.640900000000001e-06,
540
+ "loss": 1.3471,
541
+ "step": 3600
542
+ },
543
+ {
544
+ "epoch": 18.46153846153846,
545
+ "eval_loss": 1.3405698537826538,
546
+ "eval_runtime": 33.6347,
547
+ "eval_samples_per_second": 11.684,
548
+ "eval_steps_per_second": 1.487,
549
+ "step": 3600
550
+ },
551
+ {
552
+ "epoch": 18.974358974358974,
553
+ "grad_norm": 32.50804138183594,
554
+ "learning_rate": 9.630900000000001e-06,
555
+ "loss": 1.3213,
556
+ "step": 3700
557
+ },
558
+ {
559
+ "epoch": 18.974358974358974,
560
+ "eval_loss": 1.3345987796783447,
561
+ "eval_runtime": 33.5369,
562
+ "eval_samples_per_second": 11.718,
563
+ "eval_steps_per_second": 1.491,
564
+ "step": 3700
565
+ },
566
+ {
567
+ "epoch": 19.487179487179485,
568
+ "grad_norm": 28.999061584472656,
569
+ "learning_rate": 9.620900000000001e-06,
570
+ "loss": 1.3251,
571
+ "step": 3800
572
+ },
573
+ {
574
+ "epoch": 19.487179487179485,
575
+ "eval_loss": 1.3227241039276123,
576
+ "eval_runtime": 33.5001,
577
+ "eval_samples_per_second": 11.731,
578
+ "eval_steps_per_second": 1.493,
579
+ "step": 3800
580
+ },
581
+ {
582
+ "epoch": 20.0,
583
+ "grad_norm": 41.793636322021484,
584
+ "learning_rate": 9.610900000000001e-06,
585
+ "loss": 1.3297,
586
+ "step": 3900
587
+ },
588
+ {
589
+ "epoch": 20.0,
590
+ "eval_loss": 1.3213008642196655,
591
+ "eval_runtime": 33.561,
592
+ "eval_samples_per_second": 11.71,
593
+ "eval_steps_per_second": 1.49,
594
+ "step": 3900
595
+ },
596
+ {
597
+ "epoch": 20.51282051282051,
598
+ "grad_norm": 53.55360794067383,
599
+ "learning_rate": 9.600900000000002e-06,
600
+ "loss": 1.331,
601
+ "step": 4000
602
+ },
603
+ {
604
+ "epoch": 20.51282051282051,
605
+ "eval_loss": 1.3293949365615845,
606
+ "eval_runtime": 33.5542,
607
+ "eval_samples_per_second": 11.712,
608
+ "eval_steps_per_second": 1.49,
609
+ "step": 4000
610
+ },
611
+ {
612
+ "epoch": 21.025641025641026,
613
+ "grad_norm": 73.3389892578125,
614
+ "learning_rate": 9.5909e-06,
615
+ "loss": 1.2856,
616
+ "step": 4100
617
+ },
618
+ {
619
+ "epoch": 21.025641025641026,
620
+ "eval_loss": 1.316487193107605,
621
+ "eval_runtime": 33.5602,
622
+ "eval_samples_per_second": 11.71,
623
+ "eval_steps_per_second": 1.49,
624
+ "step": 4100
625
+ },
626
+ {
627
+ "epoch": 21.53846153846154,
628
+ "grad_norm": 62.724456787109375,
629
+ "learning_rate": 9.5809e-06,
630
+ "loss": 1.3186,
631
+ "step": 4200
632
+ },
633
+ {
634
+ "epoch": 21.53846153846154,
635
+ "eval_loss": 1.3179290294647217,
636
+ "eval_runtime": 33.621,
637
+ "eval_samples_per_second": 11.689,
638
+ "eval_steps_per_second": 1.487,
639
+ "step": 4200
640
+ },
641
+ {
642
+ "epoch": 22.05128205128205,
643
+ "grad_norm": 30.242937088012695,
644
+ "learning_rate": 9.5709e-06,
645
+ "loss": 1.2623,
646
+ "step": 4300
647
+ },
648
+ {
649
+ "epoch": 22.05128205128205,
650
+ "eval_loss": 1.2920558452606201,
651
+ "eval_runtime": 33.6166,
652
+ "eval_samples_per_second": 11.691,
653
+ "eval_steps_per_second": 1.487,
654
+ "step": 4300
655
+ },
656
+ {
657
+ "epoch": 22.564102564102566,
658
+ "grad_norm": 17.423118591308594,
659
+ "learning_rate": 9.5609e-06,
660
+ "loss": 1.3045,
661
+ "step": 4400
662
+ },
663
+ {
664
+ "epoch": 22.564102564102566,
665
+ "eval_loss": 1.302635669708252,
666
+ "eval_runtime": 33.7322,
667
+ "eval_samples_per_second": 11.651,
668
+ "eval_steps_per_second": 1.482,
669
+ "step": 4400
670
+ },
671
+ {
672
+ "epoch": 23.076923076923077,
673
+ "grad_norm": 115.05293273925781,
674
+ "learning_rate": 9.5509e-06,
675
+ "loss": 1.2997,
676
+ "step": 4500
677
+ },
678
+ {
679
+ "epoch": 23.076923076923077,
680
+ "eval_loss": 1.2834452390670776,
681
+ "eval_runtime": 33.5349,
682
+ "eval_samples_per_second": 11.719,
683
+ "eval_steps_per_second": 1.491,
684
+ "step": 4500
685
+ },
686
+ {
687
+ "epoch": 23.58974358974359,
688
+ "grad_norm": 35.13385009765625,
689
+ "learning_rate": 9.5409e-06,
690
+ "loss": 1.2591,
691
+ "step": 4600
692
+ },
693
+ {
694
+ "epoch": 23.58974358974359,
695
+ "eval_loss": 1.2677439451217651,
696
+ "eval_runtime": 33.5991,
697
+ "eval_samples_per_second": 11.697,
698
+ "eval_steps_per_second": 1.488,
699
+ "step": 4600
700
+ },
701
+ {
702
+ "epoch": 24.102564102564102,
703
+ "grad_norm": 22.429704666137695,
704
+ "learning_rate": 9.5309e-06,
705
+ "loss": 1.3057,
706
+ "step": 4700
707
+ },
708
+ {
709
+ "epoch": 24.102564102564102,
710
+ "eval_loss": 1.2759162187576294,
711
+ "eval_runtime": 33.8336,
712
+ "eval_samples_per_second": 11.616,
713
+ "eval_steps_per_second": 1.478,
714
+ "step": 4700
715
+ },
716
+ {
717
+ "epoch": 24.615384615384617,
718
+ "grad_norm": 19.258209228515625,
719
+ "learning_rate": 9.5209e-06,
720
+ "loss": 1.2526,
721
+ "step": 4800
722
+ },
723
+ {
724
+ "epoch": 24.615384615384617,
725
+ "eval_loss": 1.2712483406066895,
726
+ "eval_runtime": 33.585,
727
+ "eval_samples_per_second": 11.702,
728
+ "eval_steps_per_second": 1.489,
729
+ "step": 4800
730
+ },
731
+ {
732
+ "epoch": 25.128205128205128,
733
+ "grad_norm": 18.289043426513672,
734
+ "learning_rate": 9.5109e-06,
735
+ "loss": 1.2436,
736
+ "step": 4900
737
+ },
738
+ {
739
+ "epoch": 25.128205128205128,
740
+ "eval_loss": 1.277999758720398,
741
+ "eval_runtime": 33.6639,
742
+ "eval_samples_per_second": 11.674,
743
+ "eval_steps_per_second": 1.485,
744
+ "step": 4900
745
+ },
746
+ {
747
+ "epoch": 25.641025641025642,
748
+ "grad_norm": 53.41452407836914,
749
+ "learning_rate": 9.501000000000001e-06,
750
+ "loss": 1.2768,
751
+ "step": 5000
752
+ },
753
+ {
754
+ "epoch": 25.641025641025642,
755
+ "eval_loss": 1.2602609395980835,
756
+ "eval_runtime": 33.6751,
757
+ "eval_samples_per_second": 11.67,
758
+ "eval_steps_per_second": 1.485,
759
+ "step": 5000
760
+ },
761
+ {
762
+ "epoch": 26.153846153846153,
763
+ "grad_norm": 28.17922019958496,
764
+ "learning_rate": 9.491000000000001e-06,
765
+ "loss": 1.2221,
766
+ "step": 5100
767
+ },
768
+ {
769
+ "epoch": 26.153846153846153,
770
+ "eval_loss": 1.28999662399292,
771
+ "eval_runtime": 33.8104,
772
+ "eval_samples_per_second": 11.624,
773
+ "eval_steps_per_second": 1.479,
774
+ "step": 5100
775
+ },
776
+ {
777
+ "epoch": 26.666666666666668,
778
+ "grad_norm": 28.119773864746094,
779
+ "learning_rate": 9.481000000000001e-06,
780
+ "loss": 1.233,
781
+ "step": 5200
782
+ },
783
+ {
784
+ "epoch": 26.666666666666668,
785
+ "eval_loss": 1.2724733352661133,
786
+ "eval_runtime": 33.9553,
787
+ "eval_samples_per_second": 11.574,
788
+ "eval_steps_per_second": 1.473,
789
+ "step": 5200
790
+ },
791
+ {
792
+ "epoch": 27.17948717948718,
793
+ "grad_norm": 102.97128295898438,
794
+ "learning_rate": 9.471000000000001e-06,
795
+ "loss": 1.2667,
796
+ "step": 5300
797
+ },
798
+ {
799
+ "epoch": 27.17948717948718,
800
+ "eval_loss": 1.265009880065918,
801
+ "eval_runtime": 33.7879,
802
+ "eval_samples_per_second": 11.631,
803
+ "eval_steps_per_second": 1.48,
804
+ "step": 5300
805
+ },
806
+ {
807
+ "epoch": 27.692307692307693,
808
+ "grad_norm": 23.439664840698242,
809
+ "learning_rate": 9.461000000000001e-06,
810
+ "loss": 1.2255,
811
+ "step": 5400
812
+ },
813
+ {
814
+ "epoch": 27.692307692307693,
815
+ "eval_loss": 1.2421387434005737,
816
+ "eval_runtime": 33.867,
817
+ "eval_samples_per_second": 11.604,
818
+ "eval_steps_per_second": 1.476,
819
+ "step": 5400
820
+ },
821
+ {
822
+ "epoch": 28.205128205128204,
823
+ "grad_norm": 34.7141227722168,
824
+ "learning_rate": 9.451000000000002e-06,
825
+ "loss": 1.2557,
826
+ "step": 5500
827
+ },
828
+ {
829
+ "epoch": 28.205128205128204,
830
+ "eval_loss": 1.2613080739974976,
831
+ "eval_runtime": 33.9538,
832
+ "eval_samples_per_second": 11.575,
833
+ "eval_steps_per_second": 1.473,
834
+ "step": 5500
835
+ },
836
+ {
837
+ "epoch": 28.71794871794872,
838
+ "grad_norm": 60.65612030029297,
839
+ "learning_rate": 9.441000000000002e-06,
840
+ "loss": 1.2407,
841
+ "step": 5600
842
+ },
843
+ {
844
+ "epoch": 28.71794871794872,
845
+ "eval_loss": 1.2578727006912231,
846
+ "eval_runtime": 33.8423,
847
+ "eval_samples_per_second": 11.613,
848
+ "eval_steps_per_second": 1.477,
849
+ "step": 5600
850
+ },
851
+ {
852
+ "epoch": 29.23076923076923,
853
+ "grad_norm": 39.73835754394531,
854
+ "learning_rate": 9.431000000000002e-06,
855
+ "loss": 1.2436,
856
+ "step": 5700
857
+ },
858
+ {
859
+ "epoch": 29.23076923076923,
860
+ "eval_loss": 1.2593867778778076,
861
+ "eval_runtime": 33.6929,
862
+ "eval_samples_per_second": 11.664,
863
+ "eval_steps_per_second": 1.484,
864
+ "step": 5700
865
+ },
866
+ {
867
+ "epoch": 29.743589743589745,
868
+ "grad_norm": 24.647741317749023,
869
+ "learning_rate": 9.421000000000002e-06,
870
+ "loss": 1.207,
871
+ "step": 5800
872
+ },
873
+ {
874
+ "epoch": 29.743589743589745,
875
+ "eval_loss": 1.2388144731521606,
876
+ "eval_runtime": 33.7238,
877
+ "eval_samples_per_second": 11.654,
878
+ "eval_steps_per_second": 1.483,
879
+ "step": 5800
880
+ },
881
+ {
882
+ "epoch": 30.256410256410255,
883
+ "grad_norm": 63.13822937011719,
884
+ "learning_rate": 9.411000000000002e-06,
885
+ "loss": 1.2287,
886
+ "step": 5900
887
+ },
888
+ {
889
+ "epoch": 30.256410256410255,
890
+ "eval_loss": 1.2804478406906128,
891
+ "eval_runtime": 33.7389,
892
+ "eval_samples_per_second": 11.648,
893
+ "eval_steps_per_second": 1.482,
894
+ "step": 5900
895
+ },
896
+ {
897
+ "epoch": 30.76923076923077,
898
+ "grad_norm": 27.123302459716797,
899
+ "learning_rate": 9.401000000000002e-06,
900
+ "loss": 1.2249,
901
+ "step": 6000
902
+ },
903
+ {
904
+ "epoch": 30.76923076923077,
905
+ "eval_loss": 1.2437323331832886,
906
+ "eval_runtime": 33.6856,
907
+ "eval_samples_per_second": 11.667,
908
+ "eval_steps_per_second": 1.484,
909
+ "step": 6000
910
+ },
911
+ {
912
+ "epoch": 31.28205128205128,
913
+ "grad_norm": 27.28360366821289,
914
+ "learning_rate": 9.391e-06,
915
+ "loss": 1.2101,
916
+ "step": 6100
917
+ },
918
+ {
919
+ "epoch": 31.28205128205128,
920
+ "eval_loss": 1.227403998374939,
921
+ "eval_runtime": 33.648,
922
+ "eval_samples_per_second": 11.68,
923
+ "eval_steps_per_second": 1.486,
924
+ "step": 6100
925
+ },
926
+ {
927
+ "epoch": 31.794871794871796,
928
+ "grad_norm": 55.08905029296875,
929
+ "learning_rate": 9.381e-06,
930
+ "loss": 1.1843,
931
+ "step": 6200
932
+ },
933
+ {
934
+ "epoch": 31.794871794871796,
935
+ "eval_loss": 1.225257158279419,
936
+ "eval_runtime": 33.8349,
937
+ "eval_samples_per_second": 11.615,
938
+ "eval_steps_per_second": 1.478,
939
+ "step": 6200
940
+ },
941
+ {
942
+ "epoch": 32.30769230769231,
943
+ "grad_norm": 39.94312286376953,
944
+ "learning_rate": 9.371e-06,
945
+ "loss": 1.1908,
946
+ "step": 6300
947
+ },
948
+ {
949
+ "epoch": 32.30769230769231,
950
+ "eval_loss": 1.2344192266464233,
951
+ "eval_runtime": 33.9417,
952
+ "eval_samples_per_second": 11.579,
953
+ "eval_steps_per_second": 1.473,
954
+ "step": 6300
955
+ },
956
+ {
957
+ "epoch": 32.82051282051282,
958
+ "grad_norm": 25.61664581298828,
959
+ "learning_rate": 9.361e-06,
960
+ "loss": 1.1832,
961
+ "step": 6400
962
+ },
963
+ {
964
+ "epoch": 32.82051282051282,
965
+ "eval_loss": 1.2213290929794312,
966
+ "eval_runtime": 33.8461,
967
+ "eval_samples_per_second": 11.611,
968
+ "eval_steps_per_second": 1.477,
969
+ "step": 6400
970
+ },
971
+ {
972
+ "epoch": 33.333333333333336,
973
+ "grad_norm": 31.0895938873291,
974
+ "learning_rate": 9.351e-06,
975
+ "loss": 1.2104,
976
+ "step": 6500
977
+ },
978
+ {
979
+ "epoch": 33.333333333333336,
980
+ "eval_loss": 1.2290922403335571,
981
+ "eval_runtime": 33.8119,
982
+ "eval_samples_per_second": 11.623,
983
+ "eval_steps_per_second": 1.479,
984
+ "step": 6500
985
+ },
986
+ {
987
+ "epoch": 33.84615384615385,
988
+ "grad_norm": 35.208988189697266,
989
+ "learning_rate": 9.341000000000001e-06,
990
+ "loss": 1.2007,
991
+ "step": 6600
992
+ },
993
+ {
994
+ "epoch": 33.84615384615385,
995
+ "eval_loss": 1.2198638916015625,
996
+ "eval_runtime": 33.6979,
997
+ "eval_samples_per_second": 11.662,
998
+ "eval_steps_per_second": 1.484,
999
+ "step": 6600
1000
+ },
1001
+ {
1002
+ "epoch": 34.35897435897436,
1003
+ "grad_norm": 46.61259841918945,
1004
+ "learning_rate": 9.331000000000001e-06,
1005
+ "loss": 1.182,
1006
+ "step": 6700
1007
+ },
1008
+ {
1009
+ "epoch": 34.35897435897436,
1010
+ "eval_loss": 1.202943205833435,
1011
+ "eval_runtime": 33.8788,
1012
+ "eval_samples_per_second": 11.6,
1013
+ "eval_steps_per_second": 1.476,
1014
+ "step": 6700
1015
+ },
1016
+ {
1017
+ "epoch": 34.87179487179487,
1018
+ "grad_norm": 27.606361389160156,
1019
+ "learning_rate": 9.321000000000001e-06,
1020
+ "loss": 1.1843,
1021
+ "step": 6800
1022
+ },
1023
+ {
1024
+ "epoch": 34.87179487179487,
1025
+ "eval_loss": 1.2101120948791504,
1026
+ "eval_runtime": 33.92,
1027
+ "eval_samples_per_second": 11.586,
1028
+ "eval_steps_per_second": 1.474,
1029
+ "step": 6800
1030
+ },
1031
+ {
1032
+ "epoch": 35.38461538461539,
1033
+ "grad_norm": 1141.704833984375,
1034
+ "learning_rate": 9.311000000000001e-06,
1035
+ "loss": 1.1926,
1036
+ "step": 6900
1037
+ },
1038
+ {
1039
+ "epoch": 35.38461538461539,
1040
+ "eval_loss": 1.1979094743728638,
1041
+ "eval_runtime": 33.9794,
1042
+ "eval_samples_per_second": 11.566,
1043
+ "eval_steps_per_second": 1.471,
1044
+ "step": 6900
1045
+ },
1046
+ {
1047
+ "epoch": 35.8974358974359,
1048
+ "grad_norm": 29.9624080657959,
1049
+ "learning_rate": 9.301000000000001e-06,
1050
+ "loss": 1.1475,
1051
+ "step": 7000
1052
+ },
1053
+ {
1054
+ "epoch": 35.8974358974359,
1055
+ "eval_loss": 1.1987537145614624,
1056
+ "eval_runtime": 33.7554,
1057
+ "eval_samples_per_second": 11.643,
1058
+ "eval_steps_per_second": 1.481,
1059
+ "step": 7000
1060
+ },
1061
+ {
1062
+ "epoch": 36.41025641025641,
1063
+ "grad_norm": 23.925745010375977,
1064
+ "learning_rate": 9.291000000000001e-06,
1065
+ "loss": 1.1692,
1066
+ "step": 7100
1067
+ },
1068
+ {
1069
+ "epoch": 36.41025641025641,
1070
+ "eval_loss": 1.1971298456192017,
1071
+ "eval_runtime": 33.682,
1072
+ "eval_samples_per_second": 11.668,
1073
+ "eval_steps_per_second": 1.484,
1074
+ "step": 7100
1075
+ },
1076
+ {
1077
+ "epoch": 36.92307692307692,
1078
+ "grad_norm": 22.790334701538086,
1079
+ "learning_rate": 9.281000000000001e-06,
1080
+ "loss": 1.1381,
1081
+ "step": 7200
1082
+ },
1083
+ {
1084
+ "epoch": 36.92307692307692,
1085
+ "eval_loss": 1.1832250356674194,
1086
+ "eval_runtime": 33.8924,
1087
+ "eval_samples_per_second": 11.596,
1088
+ "eval_steps_per_second": 1.475,
1089
+ "step": 7200
1090
+ },
1091
+ {
1092
+ "epoch": 37.43589743589744,
1093
+ "grad_norm": 21.8422794342041,
1094
+ "learning_rate": 9.271000000000002e-06,
1095
+ "loss": 1.189,
1096
+ "step": 7300
1097
+ },
1098
+ {
1099
+ "epoch": 37.43589743589744,
1100
+ "eval_loss": 1.2060439586639404,
1101
+ "eval_runtime": 34.2775,
1102
+ "eval_samples_per_second": 11.465,
1103
+ "eval_steps_per_second": 1.459,
1104
+ "step": 7300
1105
+ },
1106
+ {
1107
+ "epoch": 37.94871794871795,
1108
+ "grad_norm": 28.315584182739258,
1109
+ "learning_rate": 9.261000000000002e-06,
1110
+ "loss": 1.139,
1111
+ "step": 7400
1112
+ },
1113
+ {
1114
+ "epoch": 37.94871794871795,
1115
+ "eval_loss": 1.191786527633667,
1116
+ "eval_runtime": 33.8013,
1117
+ "eval_samples_per_second": 11.627,
1118
+ "eval_steps_per_second": 1.479,
1119
+ "step": 7400
1120
+ },
1121
+ {
1122
+ "epoch": 38.46153846153846,
1123
+ "grad_norm": 30.92888641357422,
1124
+ "learning_rate": 9.2511e-06,
1125
+ "loss": 1.1509,
1126
+ "step": 7500
1127
+ },
1128
+ {
1129
+ "epoch": 38.46153846153846,
1130
+ "eval_loss": 1.1886085271835327,
1131
+ "eval_runtime": 33.8579,
1132
+ "eval_samples_per_second": 11.607,
1133
+ "eval_steps_per_second": 1.477,
1134
+ "step": 7500
1135
+ },
1136
+ {
1137
+ "epoch": 38.97435897435897,
1138
+ "grad_norm": 21.603288650512695,
1139
+ "learning_rate": 9.2411e-06,
1140
+ "loss": 1.1592,
1141
+ "step": 7600
1142
+ },
1143
+ {
1144
+ "epoch": 38.97435897435897,
1145
+ "eval_loss": 1.1912109851837158,
1146
+ "eval_runtime": 33.7856,
1147
+ "eval_samples_per_second": 11.632,
1148
+ "eval_steps_per_second": 1.48,
1149
+ "step": 7600
1150
+ },
1151
+ {
1152
+ "epoch": 39.48717948717949,
1153
+ "grad_norm": 42.09080123901367,
1154
+ "learning_rate": 9.2311e-06,
1155
+ "loss": 1.1501,
1156
+ "step": 7700
1157
+ },
1158
+ {
1159
+ "epoch": 39.48717948717949,
1160
+ "eval_loss": 1.1855125427246094,
1161
+ "eval_runtime": 33.7703,
1162
+ "eval_samples_per_second": 11.637,
1163
+ "eval_steps_per_second": 1.481,
1164
+ "step": 7700
1165
+ },
1166
+ {
1167
+ "epoch": 40.0,
1168
+ "grad_norm": 27.183298110961914,
1169
+ "learning_rate": 9.2211e-06,
1170
+ "loss": 1.1287,
1171
+ "step": 7800
1172
+ },
1173
+ {
1174
+ "epoch": 40.0,
1175
+ "eval_loss": 1.1904667615890503,
1176
+ "eval_runtime": 33.7348,
1177
+ "eval_samples_per_second": 11.65,
1178
+ "eval_steps_per_second": 1.482,
1179
+ "step": 7800
1180
+ },
1181
+ {
1182
+ "epoch": 40.51282051282051,
1183
+ "grad_norm": 62.908424377441406,
1184
+ "learning_rate": 9.2111e-06,
1185
+ "loss": 1.1598,
1186
+ "step": 7900
1187
+ },
1188
+ {
1189
+ "epoch": 40.51282051282051,
1190
+ "eval_loss": 1.1837190389633179,
1191
+ "eval_runtime": 34.0069,
1192
+ "eval_samples_per_second": 11.556,
1193
+ "eval_steps_per_second": 1.47,
1194
+ "step": 7900
1195
+ },
1196
+ {
1197
+ "epoch": 41.02564102564103,
1198
+ "grad_norm": 33.93372344970703,
1199
+ "learning_rate": 9.2011e-06,
1200
+ "loss": 1.1308,
1201
+ "step": 8000
1202
+ },
1203
+ {
1204
+ "epoch": 41.02564102564103,
1205
+ "eval_loss": 1.1925432682037354,
1206
+ "eval_runtime": 33.8881,
1207
+ "eval_samples_per_second": 11.597,
1208
+ "eval_steps_per_second": 1.475,
1209
+ "step": 8000
1210
+ },
1211
+ {
1212
+ "epoch": 41.53846153846154,
1213
+ "grad_norm": 45.57182312011719,
1214
+ "learning_rate": 9.1911e-06,
1215
+ "loss": 1.1496,
1216
+ "step": 8100
1217
+ },
1218
+ {
1219
+ "epoch": 41.53846153846154,
1220
+ "eval_loss": 1.204172968864441,
1221
+ "eval_runtime": 33.8945,
1222
+ "eval_samples_per_second": 11.595,
1223
+ "eval_steps_per_second": 1.475,
1224
+ "step": 8100
1225
+ },
1226
+ {
1227
+ "epoch": 42.05128205128205,
1228
+ "grad_norm": 25.79231834411621,
1229
+ "learning_rate": 9.181100000000001e-06,
1230
+ "loss": 1.098,
1231
+ "step": 8200
1232
+ },
1233
+ {
1234
+ "epoch": 42.05128205128205,
1235
+ "eval_loss": 1.1738271713256836,
1236
+ "eval_runtime": 34.3546,
1237
+ "eval_samples_per_second": 11.44,
1238
+ "eval_steps_per_second": 1.455,
1239
+ "step": 8200
1240
+ },
1241
+ {
1242
+ "epoch": 42.56410256410256,
1243
+ "grad_norm": 27.62971305847168,
1244
+ "learning_rate": 9.171100000000001e-06,
1245
+ "loss": 1.1275,
1246
+ "step": 8300
1247
+ },
1248
+ {
1249
+ "epoch": 42.56410256410256,
1250
+ "eval_loss": 1.1773978471755981,
1251
+ "eval_runtime": 33.7608,
1252
+ "eval_samples_per_second": 11.641,
1253
+ "eval_steps_per_second": 1.481,
1254
+ "step": 8300
1255
+ },
1256
+ {
1257
+ "epoch": 43.07692307692308,
1258
+ "grad_norm": 20.703998565673828,
1259
+ "learning_rate": 9.161100000000001e-06,
1260
+ "loss": 1.1524,
1261
+ "step": 8400
1262
+ },
1263
+ {
1264
+ "epoch": 43.07692307692308,
1265
+ "eval_loss": 1.1819504499435425,
1266
+ "eval_runtime": 33.9332,
1267
+ "eval_samples_per_second": 11.582,
1268
+ "eval_steps_per_second": 1.473,
1269
+ "step": 8400
1270
+ },
1271
+ {
1272
+ "epoch": 43.58974358974359,
1273
+ "grad_norm": 29.18483543395996,
1274
+ "learning_rate": 9.151100000000001e-06,
1275
+ "loss": 1.1022,
1276
+ "step": 8500
1277
+ },
1278
+ {
1279
+ "epoch": 43.58974358974359,
1280
+ "eval_loss": 1.1720554828643799,
1281
+ "eval_runtime": 33.872,
1282
+ "eval_samples_per_second": 11.602,
1283
+ "eval_steps_per_second": 1.476,
1284
+ "step": 8500
1285
+ },
1286
+ {
1287
+ "epoch": 44.1025641025641,
1288
+ "grad_norm": 34.14143371582031,
1289
+ "learning_rate": 9.141100000000001e-06,
1290
+ "loss": 1.1303,
1291
+ "step": 8600
1292
+ },
1293
+ {
1294
+ "epoch": 44.1025641025641,
1295
+ "eval_loss": 1.1805644035339355,
1296
+ "eval_runtime": 33.9223,
1297
+ "eval_samples_per_second": 11.585,
1298
+ "eval_steps_per_second": 1.474,
1299
+ "step": 8600
1300
+ },
1301
+ {
1302
+ "epoch": 44.61538461538461,
1303
+ "grad_norm": 43.17974853515625,
1304
+ "learning_rate": 9.1311e-06,
1305
+ "loss": 1.0919,
1306
+ "step": 8700
1307
+ },
1308
+ {
1309
+ "epoch": 44.61538461538461,
1310
+ "eval_loss": 1.1851396560668945,
1311
+ "eval_runtime": 33.9872,
1312
+ "eval_samples_per_second": 11.563,
1313
+ "eval_steps_per_second": 1.471,
1314
+ "step": 8700
1315
+ },
1316
+ {
1317
+ "epoch": 45.12820512820513,
1318
+ "grad_norm": 31.169639587402344,
1319
+ "learning_rate": 9.1211e-06,
1320
+ "loss": 1.1156,
1321
+ "step": 8800
1322
+ },
1323
+ {
1324
+ "epoch": 45.12820512820513,
1325
+ "eval_loss": 1.1849329471588135,
1326
+ "eval_runtime": 33.8263,
1327
+ "eval_samples_per_second": 11.618,
1328
+ "eval_steps_per_second": 1.478,
1329
+ "step": 8800
1330
+ },
1331
+ {
1332
+ "epoch": 45.64102564102564,
1333
+ "grad_norm": 47.28102493286133,
1334
+ "learning_rate": 9.1111e-06,
1335
+ "loss": 1.1201,
1336
+ "step": 8900
1337
+ },
1338
+ {
1339
+ "epoch": 45.64102564102564,
1340
+ "eval_loss": 1.1575498580932617,
1341
+ "eval_runtime": 33.7801,
1342
+ "eval_samples_per_second": 11.634,
1343
+ "eval_steps_per_second": 1.48,
1344
+ "step": 8900
1345
+ },
1346
+ {
1347
+ "epoch": 46.15384615384615,
1348
+ "grad_norm": 62.14609146118164,
1349
+ "learning_rate": 9.1011e-06,
1350
+ "loss": 1.0987,
1351
+ "step": 9000
1352
+ },
1353
+ {
1354
+ "epoch": 46.15384615384615,
1355
+ "eval_loss": 1.16815185546875,
1356
+ "eval_runtime": 33.7678,
1357
+ "eval_samples_per_second": 11.638,
1358
+ "eval_steps_per_second": 1.481,
1359
+ "step": 9000
1360
+ },
1361
+ {
1362
+ "epoch": 46.666666666666664,
1363
+ "grad_norm": 77.31022644042969,
1364
+ "learning_rate": 9.0911e-06,
1365
+ "loss": 1.119,
1366
+ "step": 9100
1367
+ },
1368
+ {
1369
+ "epoch": 46.666666666666664,
1370
+ "eval_loss": 1.1787101030349731,
1371
+ "eval_runtime": 34.2194,
1372
+ "eval_samples_per_second": 11.485,
1373
+ "eval_steps_per_second": 1.461,
1374
+ "step": 9100
1375
+ },
1376
+ {
1377
+ "epoch": 47.17948717948718,
1378
+ "grad_norm": 17.737777709960938,
1379
+ "learning_rate": 9.0811e-06,
1380
+ "loss": 1.1152,
1381
+ "step": 9200
1382
+ },
1383
+ {
1384
+ "epoch": 47.17948717948718,
1385
+ "eval_loss": 1.1642876863479614,
1386
+ "eval_runtime": 33.9617,
1387
+ "eval_samples_per_second": 11.572,
1388
+ "eval_steps_per_second": 1.472,
1389
+ "step": 9200
1390
+ },
1391
+ {
1392
+ "epoch": 47.69230769230769,
1393
+ "grad_norm": 22.58513069152832,
1394
+ "learning_rate": 9.0711e-06,
1395
+ "loss": 1.0801,
1396
+ "step": 9300
1397
+ },
1398
+ {
1399
+ "epoch": 47.69230769230769,
1400
+ "eval_loss": 1.1710031032562256,
1401
+ "eval_runtime": 33.6338,
1402
+ "eval_samples_per_second": 11.685,
1403
+ "eval_steps_per_second": 1.487,
1404
+ "step": 9300
1405
+ },
1406
+ {
1407
+ "epoch": 48.205128205128204,
1408
+ "grad_norm": 17.689064025878906,
1409
+ "learning_rate": 9.0611e-06,
1410
+ "loss": 1.1669,
1411
+ "step": 9400
1412
+ },
1413
+ {
1414
+ "epoch": 48.205128205128204,
1415
+ "eval_loss": 1.1800153255462646,
1416
+ "eval_runtime": 33.5397,
1417
+ "eval_samples_per_second": 11.717,
1418
+ "eval_steps_per_second": 1.491,
1419
+ "step": 9400
1420
+ },
1421
+ {
1422
+ "epoch": 48.717948717948715,
1423
+ "grad_norm": 20.76385498046875,
1424
+ "learning_rate": 9.0511e-06,
1425
+ "loss": 1.0969,
1426
+ "step": 9500
1427
+ },
1428
+ {
1429
+ "epoch": 48.717948717948715,
1430
+ "eval_loss": 1.170789361000061,
1431
+ "eval_runtime": 33.4901,
1432
+ "eval_samples_per_second": 11.735,
1433
+ "eval_steps_per_second": 1.493,
1434
+ "step": 9500
1435
+ },
1436
+ {
1437
+ "epoch": 49.23076923076923,
1438
+ "grad_norm": 53.716548919677734,
1439
+ "learning_rate": 9.0411e-06,
1440
+ "loss": 1.1053,
1441
+ "step": 9600
1442
+ },
1443
+ {
1444
+ "epoch": 49.23076923076923,
1445
+ "eval_loss": 1.1888952255249023,
1446
+ "eval_runtime": 33.3262,
1447
+ "eval_samples_per_second": 11.793,
1448
+ "eval_steps_per_second": 1.5,
1449
+ "step": 9600
1450
+ },
1451
+ {
1452
+ "epoch": 49.743589743589745,
1453
+ "grad_norm": 70.57758331298828,
1454
+ "learning_rate": 9.0311e-06,
1455
+ "loss": 1.088,
1456
+ "step": 9700
1457
+ },
1458
+ {
1459
+ "epoch": 49.743589743589745,
1460
+ "eval_loss": 1.1654279232025146,
1461
+ "eval_runtime": 33.4095,
1462
+ "eval_samples_per_second": 11.763,
1463
+ "eval_steps_per_second": 1.497,
1464
+ "step": 9700
1465
+ },
1466
+ {
1467
+ "epoch": 50.256410256410255,
1468
+ "grad_norm": 48.835018157958984,
1469
+ "learning_rate": 9.0211e-06,
1470
+ "loss": 1.1185,
1471
+ "step": 9800
1472
+ },
1473
+ {
1474
+ "epoch": 50.256410256410255,
1475
+ "eval_loss": 1.174896240234375,
1476
+ "eval_runtime": 33.655,
1477
+ "eval_samples_per_second": 11.677,
1478
+ "eval_steps_per_second": 1.486,
1479
+ "step": 9800
1480
+ },
1481
+ {
1482
+ "epoch": 50.76923076923077,
1483
+ "grad_norm": 27.838232040405273,
1484
+ "learning_rate": 9.011100000000001e-06,
1485
+ "loss": 1.0741,
1486
+ "step": 9900
1487
+ },
1488
+ {
1489
+ "epoch": 50.76923076923077,
1490
+ "eval_loss": 1.1926134824752808,
1491
+ "eval_runtime": 33.5437,
1492
+ "eval_samples_per_second": 11.716,
1493
+ "eval_steps_per_second": 1.491,
1494
+ "step": 9900
1495
+ },
1496
+ {
1497
+ "epoch": 51.282051282051285,
1498
+ "grad_norm": 36.455204010009766,
1499
+ "learning_rate": 9.001100000000001e-06,
1500
+ "loss": 1.1212,
1501
+ "step": 10000
1502
+ },
1503
+ {
1504
+ "epoch": 51.282051282051285,
1505
+ "eval_loss": 1.1525243520736694,
1506
+ "eval_runtime": 33.5794,
1507
+ "eval_samples_per_second": 11.704,
1508
+ "eval_steps_per_second": 1.489,
1509
+ "step": 10000
1510
+ },
1511
+ {
1512
+ "epoch": 51.794871794871796,
1513
+ "grad_norm": 24.63564109802246,
1514
+ "learning_rate": 8.991100000000001e-06,
1515
+ "loss": 1.0958,
1516
+ "step": 10100
1517
+ },
1518
+ {
1519
+ "epoch": 51.794871794871796,
1520
+ "eval_loss": 1.14644193649292,
1521
+ "eval_runtime": 33.4871,
1522
+ "eval_samples_per_second": 11.736,
1523
+ "eval_steps_per_second": 1.493,
1524
+ "step": 10100
1525
+ },
1526
+ {
1527
+ "epoch": 52.30769230769231,
1528
+ "grad_norm": 52.96881103515625,
1529
+ "learning_rate": 8.981100000000001e-06,
1530
+ "loss": 1.0793,
1531
+ "step": 10200
1532
+ },
1533
+ {
1534
+ "epoch": 52.30769230769231,
1535
+ "eval_loss": 1.154321312904358,
1536
+ "eval_runtime": 33.4968,
1537
+ "eval_samples_per_second": 11.732,
1538
+ "eval_steps_per_second": 1.493,
1539
+ "step": 10200
1540
+ },
1541
+ {
1542
+ "epoch": 52.82051282051282,
1543
+ "grad_norm": 24.98472023010254,
1544
+ "learning_rate": 8.9711e-06,
1545
+ "loss": 1.1111,
1546
+ "step": 10300
1547
+ },
1548
+ {
1549
+ "epoch": 52.82051282051282,
1550
+ "eval_loss": 1.1450814008712769,
1551
+ "eval_runtime": 33.7441,
1552
+ "eval_samples_per_second": 11.646,
1553
+ "eval_steps_per_second": 1.482,
1554
+ "step": 10300
1555
+ },
1556
+ {
1557
+ "epoch": 53.333333333333336,
1558
+ "grad_norm": 37.849769592285156,
1559
+ "learning_rate": 8.9611e-06,
1560
+ "loss": 1.0579,
1561
+ "step": 10400
1562
+ },
1563
+ {
1564
+ "epoch": 53.333333333333336,
1565
+ "eval_loss": 1.1465113162994385,
1566
+ "eval_runtime": 33.6742,
1567
+ "eval_samples_per_second": 11.671,
1568
+ "eval_steps_per_second": 1.485,
1569
+ "step": 10400
1570
+ },
1571
+ {
1572
+ "epoch": 53.84615384615385,
1573
+ "grad_norm": 32.475791931152344,
1574
+ "learning_rate": 8.9511e-06,
1575
+ "loss": 1.0959,
1576
+ "step": 10500
1577
+ },
1578
+ {
1579
+ "epoch": 53.84615384615385,
1580
+ "eval_loss": 1.1625763177871704,
1581
+ "eval_runtime": 33.5922,
1582
+ "eval_samples_per_second": 11.699,
1583
+ "eval_steps_per_second": 1.488,
1584
+ "step": 10500
1585
+ },
1586
+ {
1587
+ "epoch": 54.35897435897436,
1588
+ "grad_norm": 29.02692413330078,
1589
+ "learning_rate": 8.9411e-06,
1590
+ "loss": 1.1046,
1591
+ "step": 10600
1592
+ },
1593
+ {
1594
+ "epoch": 54.35897435897436,
1595
+ "eval_loss": 1.161304235458374,
1596
+ "eval_runtime": 33.4954,
1597
+ "eval_samples_per_second": 11.733,
1598
+ "eval_steps_per_second": 1.493,
1599
+ "step": 10600
1600
+ },
1601
+ {
1602
+ "epoch": 54.87179487179487,
1603
+ "grad_norm": 93.73539733886719,
1604
+ "learning_rate": 8.9311e-06,
1605
+ "loss": 1.1034,
1606
+ "step": 10700
1607
+ },
1608
+ {
1609
+ "epoch": 54.87179487179487,
1610
+ "eval_loss": 1.175752878189087,
1611
+ "eval_runtime": 33.5496,
1612
+ "eval_samples_per_second": 11.714,
1613
+ "eval_steps_per_second": 1.49,
1614
+ "step": 10700
1615
+ },
1616
+ {
1617
+ "epoch": 55.38461538461539,
1618
+ "grad_norm": 23.342376708984375,
1619
+ "learning_rate": 8.9211e-06,
1620
+ "loss": 1.0699,
1621
+ "step": 10800
1622
+ },
1623
+ {
1624
+ "epoch": 55.38461538461539,
1625
+ "eval_loss": 1.1697540283203125,
1626
+ "eval_runtime": 33.468,
1627
+ "eval_samples_per_second": 11.743,
1628
+ "eval_steps_per_second": 1.494,
1629
+ "step": 10800
1630
+ },
1631
+ {
1632
+ "epoch": 55.8974358974359,
1633
+ "grad_norm": 55.842430114746094,
1634
+ "learning_rate": 8.9111e-06,
1635
+ "loss": 1.0773,
1636
+ "step": 10900
1637
+ },
1638
+ {
1639
+ "epoch": 55.8974358974359,
1640
+ "eval_loss": 1.151752233505249,
1641
+ "eval_runtime": 33.9176,
1642
+ "eval_samples_per_second": 11.587,
1643
+ "eval_steps_per_second": 1.474,
1644
+ "step": 10900
1645
+ },
1646
+ {
1647
+ "epoch": 56.41025641025641,
1648
+ "grad_norm": 34.547996520996094,
1649
+ "learning_rate": 8.9012e-06,
1650
+ "loss": 1.0888,
1651
+ "step": 11000
1652
+ },
1653
+ {
1654
+ "epoch": 56.41025641025641,
1655
+ "eval_loss": 1.1507455110549927,
1656
+ "eval_runtime": 33.5018,
1657
+ "eval_samples_per_second": 11.731,
1658
+ "eval_steps_per_second": 1.492,
1659
+ "step": 11000
1660
+ },
1661
+ {
1662
+ "epoch": 56.92307692307692,
1663
+ "grad_norm": 24.540210723876953,
1664
+ "learning_rate": 8.8912e-06,
1665
+ "loss": 1.0634,
1666
+ "step": 11100
1667
+ },
1668
+ {
1669
+ "epoch": 56.92307692307692,
1670
+ "eval_loss": 1.1604851484298706,
1671
+ "eval_runtime": 33.5283,
1672
+ "eval_samples_per_second": 11.721,
1673
+ "eval_steps_per_second": 1.491,
1674
+ "step": 11100
1675
+ },
1676
+ {
1677
+ "epoch": 57.43589743589744,
1678
+ "grad_norm": 25.421348571777344,
1679
+ "learning_rate": 8.8812e-06,
1680
+ "loss": 1.1177,
1681
+ "step": 11200
1682
+ },
1683
+ {
1684
+ "epoch": 57.43589743589744,
1685
+ "eval_loss": 1.1580452919006348,
1686
+ "eval_runtime": 33.4736,
1687
+ "eval_samples_per_second": 11.741,
1688
+ "eval_steps_per_second": 1.494,
1689
+ "step": 11200
1690
+ },
1691
+ {
1692
+ "epoch": 57.94871794871795,
1693
+ "grad_norm": 74.44795989990234,
1694
+ "learning_rate": 8.8712e-06,
1695
+ "loss": 1.0649,
1696
+ "step": 11300
1697
+ },
1698
+ {
1699
+ "epoch": 57.94871794871795,
1700
+ "eval_loss": 1.165457010269165,
1701
+ "eval_runtime": 33.477,
1702
+ "eval_samples_per_second": 11.739,
1703
+ "eval_steps_per_second": 1.494,
1704
+ "step": 11300
1705
+ },
1706
+ {
1707
+ "epoch": 58.46153846153846,
1708
+ "grad_norm": 21.34556007385254,
1709
+ "learning_rate": 8.8612e-06,
1710
+ "loss": 1.0379,
1711
+ "step": 11400
1712
+ },
1713
+ {
1714
+ "epoch": 58.46153846153846,
1715
+ "eval_loss": 1.156040072441101,
1716
+ "eval_runtime": 33.5737,
1717
+ "eval_samples_per_second": 11.706,
1718
+ "eval_steps_per_second": 1.489,
1719
+ "step": 11400
1720
+ },
1721
+ {
1722
+ "epoch": 58.97435897435897,
1723
+ "grad_norm": 27.036218643188477,
1724
+ "learning_rate": 8.851200000000001e-06,
1725
+ "loss": 1.089,
1726
+ "step": 11500
1727
+ },
1728
+ {
1729
+ "epoch": 58.97435897435897,
1730
+ "eval_loss": 1.134421944618225,
1731
+ "eval_runtime": 33.5208,
1732
+ "eval_samples_per_second": 11.724,
1733
+ "eval_steps_per_second": 1.492,
1734
+ "step": 11500
1735
+ },
1736
+ {
1737
+ "epoch": 59.48717948717949,
1738
+ "grad_norm": 18.133159637451172,
1739
+ "learning_rate": 8.841200000000001e-06,
1740
+ "loss": 1.1044,
1741
+ "step": 11600
1742
+ },
1743
+ {
1744
+ "epoch": 59.48717948717949,
1745
+ "eval_loss": 1.1284948587417603,
1746
+ "eval_runtime": 33.4738,
1747
+ "eval_samples_per_second": 11.741,
1748
+ "eval_steps_per_second": 1.494,
1749
+ "step": 11600
1750
+ },
1751
+ {
1752
+ "epoch": 60.0,
1753
+ "grad_norm": 51.20466613769531,
1754
+ "learning_rate": 8.831200000000001e-06,
1755
+ "loss": 1.021,
1756
+ "step": 11700
1757
+ },
1758
+ {
1759
+ "epoch": 60.0,
1760
+ "eval_loss": 1.1374192237854004,
1761
+ "eval_runtime": 33.3528,
1762
+ "eval_samples_per_second": 11.783,
1763
+ "eval_steps_per_second": 1.499,
1764
+ "step": 11700
1765
+ },
1766
+ {
1767
+ "epoch": 60.51282051282051,
1768
+ "grad_norm": 20.16541290283203,
1769
+ "learning_rate": 8.821200000000001e-06,
1770
+ "loss": 1.0547,
1771
+ "step": 11800
1772
+ },
1773
+ {
1774
+ "epoch": 60.51282051282051,
1775
+ "eval_loss": 1.1408305168151855,
1776
+ "eval_runtime": 33.9564,
1777
+ "eval_samples_per_second": 11.574,
1778
+ "eval_steps_per_second": 1.472,
1779
+ "step": 11800
1780
+ },
1781
+ {
1782
+ "epoch": 61.02564102564103,
1783
+ "grad_norm": 22.255817413330078,
1784
+ "learning_rate": 8.811200000000001e-06,
1785
+ "loss": 1.0737,
1786
+ "step": 11900
1787
+ },
1788
+ {
1789
+ "epoch": 61.02564102564103,
1790
+ "eval_loss": 1.1481328010559082,
1791
+ "eval_runtime": 33.4272,
1792
+ "eval_samples_per_second": 11.757,
1793
+ "eval_steps_per_second": 1.496,
1794
+ "step": 11900
1795
+ },
1796
+ {
1797
+ "epoch": 61.53846153846154,
1798
+ "grad_norm": 34.67921447753906,
1799
+ "learning_rate": 8.801200000000001e-06,
1800
+ "loss": 1.0152,
1801
+ "step": 12000
1802
+ },
1803
+ {
1804
+ "epoch": 61.53846153846154,
1805
+ "eval_loss": 1.1518502235412598,
1806
+ "eval_runtime": 33.4288,
1807
+ "eval_samples_per_second": 11.756,
1808
+ "eval_steps_per_second": 1.496,
1809
+ "step": 12000
1810
+ },
1811
+ {
1812
+ "epoch": 62.05128205128205,
1813
+ "grad_norm": 52.76307678222656,
1814
+ "learning_rate": 8.791200000000001e-06,
1815
+ "loss": 1.0853,
1816
+ "step": 12100
1817
+ },
1818
+ {
1819
+ "epoch": 62.05128205128205,
1820
+ "eval_loss": 1.1410694122314453,
1821
+ "eval_runtime": 33.2178,
1822
+ "eval_samples_per_second": 11.831,
1823
+ "eval_steps_per_second": 1.505,
1824
+ "step": 12100
1825
+ },
1826
+ {
1827
+ "epoch": 62.56410256410256,
1828
+ "grad_norm": 36.955753326416016,
1829
+ "learning_rate": 8.781200000000002e-06,
1830
+ "loss": 1.0754,
1831
+ "step": 12200
1832
+ },
1833
+ {
1834
+ "epoch": 62.56410256410256,
1835
+ "eval_loss": 1.1417096853256226,
1836
+ "eval_runtime": 33.6371,
1837
+ "eval_samples_per_second": 11.684,
1838
+ "eval_steps_per_second": 1.486,
1839
+ "step": 12200
1840
+ },
1841
+ {
1842
+ "epoch": 63.07692307692308,
1843
+ "grad_norm": 30.68532371520996,
1844
+ "learning_rate": 8.7712e-06,
1845
+ "loss": 1.0177,
1846
+ "step": 12300
1847
+ },
1848
+ {
1849
+ "epoch": 63.07692307692308,
1850
+ "eval_loss": 1.1374719142913818,
1851
+ "eval_runtime": 33.4002,
1852
+ "eval_samples_per_second": 11.766,
1853
+ "eval_steps_per_second": 1.497,
1854
+ "step": 12300
1855
+ },
1856
+ {
1857
+ "epoch": 63.58974358974359,
1858
+ "grad_norm": 73.53378295898438,
1859
+ "learning_rate": 8.7612e-06,
1860
+ "loss": 1.0533,
1861
+ "step": 12400
1862
+ },
1863
+ {
1864
+ "epoch": 63.58974358974359,
1865
+ "eval_loss": 1.1490620374679565,
1866
+ "eval_runtime": 33.4237,
1867
+ "eval_samples_per_second": 11.758,
1868
+ "eval_steps_per_second": 1.496,
1869
+ "step": 12400
1870
+ },
1871
+ {
1872
+ "epoch": 64.1025641025641,
1873
+ "grad_norm": 29.064855575561523,
1874
+ "learning_rate": 8.7512e-06,
1875
+ "loss": 1.0359,
1876
+ "step": 12500
1877
+ },
1878
+ {
1879
+ "epoch": 64.1025641025641,
1880
+ "eval_loss": 1.1465009450912476,
1881
+ "eval_runtime": 33.4463,
1882
+ "eval_samples_per_second": 11.75,
1883
+ "eval_steps_per_second": 1.495,
1884
+ "step": 12500
1885
+ },
1886
+ {
1887
+ "epoch": 64.61538461538461,
1888
+ "grad_norm": 43.581565856933594,
1889
+ "learning_rate": 8.7412e-06,
1890
+ "loss": 1.0222,
1891
+ "step": 12600
1892
+ },
1893
+ {
1894
+ "epoch": 64.61538461538461,
1895
+ "eval_loss": 1.1300017833709717,
1896
+ "eval_runtime": 33.397,
1897
+ "eval_samples_per_second": 11.768,
1898
+ "eval_steps_per_second": 1.497,
1899
+ "step": 12600
1900
+ },
1901
+ {
1902
+ "epoch": 65.12820512820512,
1903
+ "grad_norm": 37.94940185546875,
1904
+ "learning_rate": 8.7312e-06,
1905
+ "loss": 1.0676,
1906
+ "step": 12700
1907
+ },
1908
+ {
1909
+ "epoch": 65.12820512820512,
1910
+ "eval_loss": 1.1514735221862793,
1911
+ "eval_runtime": 33.4854,
1912
+ "eval_samples_per_second": 11.736,
1913
+ "eval_steps_per_second": 1.493,
1914
+ "step": 12700
1915
+ },
1916
+ {
1917
+ "epoch": 65.64102564102564,
1918
+ "grad_norm": 19.844234466552734,
1919
+ "learning_rate": 8.7212e-06,
1920
+ "loss": 1.0438,
1921
+ "step": 12800
1922
+ },
1923
+ {
1924
+ "epoch": 65.64102564102564,
1925
+ "eval_loss": 1.166193962097168,
1926
+ "eval_runtime": 33.342,
1927
+ "eval_samples_per_second": 11.787,
1928
+ "eval_steps_per_second": 1.5,
1929
+ "step": 12800
1930
+ },
1931
+ {
1932
+ "epoch": 66.15384615384616,
1933
+ "grad_norm": 34.03626251220703,
1934
+ "learning_rate": 8.7112e-06,
1935
+ "loss": 0.9963,
1936
+ "step": 12900
1937
+ },
1938
+ {
1939
+ "epoch": 66.15384615384616,
1940
+ "eval_loss": 1.14573335647583,
1941
+ "eval_runtime": 33.5502,
1942
+ "eval_samples_per_second": 11.714,
1943
+ "eval_steps_per_second": 1.49,
1944
+ "step": 12900
1945
+ },
1946
+ {
1947
+ "epoch": 66.66666666666667,
1948
+ "grad_norm": 42.71162033081055,
1949
+ "learning_rate": 8.7012e-06,
1950
+ "loss": 1.0168,
1951
+ "step": 13000
1952
+ },
1953
+ {
1954
+ "epoch": 66.66666666666667,
1955
+ "eval_loss": 1.1428903341293335,
1956
+ "eval_runtime": 33.6161,
1957
+ "eval_samples_per_second": 11.691,
1958
+ "eval_steps_per_second": 1.487,
1959
+ "step": 13000
1960
+ },
1961
+ {
1962
+ "epoch": 67.17948717948718,
1963
+ "grad_norm": 44.0084114074707,
1964
+ "learning_rate": 8.6912e-06,
1965
+ "loss": 1.0713,
1966
+ "step": 13100
1967
+ },
1968
+ {
1969
+ "epoch": 67.17948717948718,
1970
+ "eval_loss": 1.1410739421844482,
1971
+ "eval_runtime": 33.5446,
1972
+ "eval_samples_per_second": 11.716,
1973
+ "eval_steps_per_second": 1.491,
1974
+ "step": 13100
1975
+ },
1976
+ {
1977
+ "epoch": 67.6923076923077,
1978
+ "grad_norm": 24.194211959838867,
1979
+ "learning_rate": 8.6812e-06,
1980
+ "loss": 1.0132,
1981
+ "step": 13200
1982
+ },
1983
+ {
1984
+ "epoch": 67.6923076923077,
1985
+ "eval_loss": 1.1532968282699585,
1986
+ "eval_runtime": 33.4966,
1987
+ "eval_samples_per_second": 11.733,
1988
+ "eval_steps_per_second": 1.493,
1989
+ "step": 13200
1990
+ },
1991
+ {
1992
+ "epoch": 68.2051282051282,
1993
+ "grad_norm": 14.505328178405762,
1994
+ "learning_rate": 8.671200000000001e-06,
1995
+ "loss": 1.0685,
1996
+ "step": 13300
1997
+ },
1998
+ {
1999
+ "epoch": 68.2051282051282,
2000
+ "eval_loss": 1.1466225385665894,
2001
+ "eval_runtime": 33.4196,
2002
+ "eval_samples_per_second": 11.76,
2003
+ "eval_steps_per_second": 1.496,
2004
+ "step": 13300
2005
+ },
2006
+ {
2007
+ "epoch": 68.71794871794872,
2008
+ "grad_norm": 35.94062423706055,
2009
+ "learning_rate": 8.661200000000001e-06,
2010
+ "loss": 1.0035,
2011
+ "step": 13400
2012
+ },
2013
+ {
2014
+ "epoch": 68.71794871794872,
2015
+ "eval_loss": 1.1296441555023193,
2016
+ "eval_runtime": 33.6415,
2017
+ "eval_samples_per_second": 11.682,
2018
+ "eval_steps_per_second": 1.486,
2019
+ "step": 13400
2020
+ },
2021
+ {
2022
+ "epoch": 69.23076923076923,
2023
+ "grad_norm": 24.583995819091797,
2024
+ "learning_rate": 8.651200000000001e-06,
2025
+ "loss": 1.0128,
2026
+ "step": 13500
2027
+ },
2028
+ {
2029
+ "epoch": 69.23076923076923,
2030
+ "eval_loss": 1.107634425163269,
2031
+ "eval_runtime": 33.7082,
2032
+ "eval_samples_per_second": 11.659,
2033
+ "eval_steps_per_second": 1.483,
2034
+ "step": 13500
2035
+ }
2036
+ ],
2037
+ "logging_steps": 100,
2038
+ "max_steps": 100000,
2039
+ "num_input_tokens_seen": 0,
2040
+ "num_train_epochs": 513,
2041
+ "save_steps": 500,
2042
+ "stateful_callbacks": {
2043
+ "TrainerControl": {
2044
+ "args": {
2045
+ "should_epoch_stop": false,
2046
+ "should_evaluate": false,
2047
+ "should_log": false,
2048
+ "should_save": true,
2049
+ "should_training_stop": false
2050
+ },
2051
+ "attributes": {}
2052
+ }
2053
+ },
2054
+ "total_flos": 5.160282743808e+19,
2055
+ "train_batch_size": 8,
2056
+ "trial_name": null,
2057
+ "trial_params": null
2058
+ }
checkpoint-13500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12024124d98d6f3527d5a0e9a760923228a8928111a77f0d825458c2cc9072c6
3
+ size 5304