alicelouis
commited on
Commit
•
848070f
1
Parent(s):
234473f
Upload 9 files
Browse filesacc on test 0.965
- checkpoint-3768/config.json +36 -0
- checkpoint-3768/optimizer.pt +3 -0
- checkpoint-3768/preprocessor_config.json +22 -0
- checkpoint-3768/pytorch_model.bin +3 -0
- checkpoint-3768/rng_state.pth +3 -0
- checkpoint-3768/scaler.pt +3 -0
- checkpoint-3768/scheduler.pt +3 -0
- checkpoint-3768/trainer_state.json +2488 -0
- checkpoint-3768/training_args.bin +3 -0
checkpoint-3768/config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 768,
|
11 |
+
"id2label": {
|
12 |
+
"0": "adenocarcinoma",
|
13 |
+
"1": "large.cell",
|
14 |
+
"2": "normal",
|
15 |
+
"3": "squamous.cell"
|
16 |
+
},
|
17 |
+
"image_size": 224,
|
18 |
+
"initializer_range": 0.02,
|
19 |
+
"intermediate_size": 3072,
|
20 |
+
"label2id": {
|
21 |
+
"adenocarcinoma": 0,
|
22 |
+
"large.cell": 1,
|
23 |
+
"normal": 2,
|
24 |
+
"squamous.cell": 3
|
25 |
+
},
|
26 |
+
"layer_norm_eps": 1e-12,
|
27 |
+
"model_type": "vit",
|
28 |
+
"num_attention_heads": 12,
|
29 |
+
"num_channels": 3,
|
30 |
+
"num_hidden_layers": 12,
|
31 |
+
"patch_size": 16,
|
32 |
+
"problem_type": "single_label_classification",
|
33 |
+
"qkv_bias": true,
|
34 |
+
"torch_dtype": "float32",
|
35 |
+
"transformers_version": "4.27.4"
|
36 |
+
}
|
checkpoint-3768/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f01b68c103e7f2cfa5932a5ade859cf682988374cf2abbd0a31e5d0abf2f5c54
|
3 |
+
size 686531205
|
checkpoint-3768/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
checkpoint-3768/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:60f2e6e535dbd8e8ba1d9787abbdfe5263b67bbb62ae7417641092a3ef826d7b
|
3 |
+
size 343274861
|
checkpoint-3768/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f038abe301d6561297f4a7beef62d40fc02ba8fdadec15dd550eb9366cdce0da
|
3 |
+
size 14575
|
checkpoint-3768/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aba265632a0ddb5cc5055099d68a327ca45a7986ab77a88a5645c44e9bed9416
|
3 |
+
size 557
|
checkpoint-3768/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:78e6fd6981969e4f36445c784b3bf789e21d9c7fc0206141b3d5642a765a65e7
|
3 |
+
size 627
|
checkpoint-3768/trainer_state.json
ADDED
@@ -0,0 +1,2488 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.97,
|
3 |
+
"best_model_checkpoint": "./vit-LungCancerAUG10000img/checkpoint-3768",
|
4 |
+
"epoch": 24.0,
|
5 |
+
"global_step": 3768,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.06,
|
12 |
+
"learning_rate": 4.2462845010615706e-08,
|
13 |
+
"loss": 1.4586,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.13,
|
18 |
+
"learning_rate": 8.492569002123141e-08,
|
19 |
+
"loss": 1.4488,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.19,
|
24 |
+
"learning_rate": 1.2738853503184713e-07,
|
25 |
+
"loss": 1.4723,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.25,
|
30 |
+
"learning_rate": 1.6985138004246283e-07,
|
31 |
+
"loss": 1.4157,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.32,
|
36 |
+
"learning_rate": 2.1231422505307855e-07,
|
37 |
+
"loss": 1.4137,
|
38 |
+
"step": 50
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.38,
|
42 |
+
"learning_rate": 2.5477707006369425e-07,
|
43 |
+
"loss": 1.3989,
|
44 |
+
"step": 60
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.45,
|
48 |
+
"learning_rate": 2.9723991507431e-07,
|
49 |
+
"loss": 1.4097,
|
50 |
+
"step": 70
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.51,
|
54 |
+
"learning_rate": 3.3970276008492565e-07,
|
55 |
+
"loss": 1.4044,
|
56 |
+
"step": 80
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.57,
|
60 |
+
"learning_rate": 3.8216560509554143e-07,
|
61 |
+
"loss": 1.4031,
|
62 |
+
"step": 90
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.64,
|
66 |
+
"learning_rate": 4.246284501061571e-07,
|
67 |
+
"loss": 1.3575,
|
68 |
+
"step": 100
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.7,
|
72 |
+
"learning_rate": 4.6709129511677283e-07,
|
73 |
+
"loss": 1.3662,
|
74 |
+
"step": 110
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.76,
|
78 |
+
"learning_rate": 5.095541401273885e-07,
|
79 |
+
"loss": 1.3338,
|
80 |
+
"step": 120
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.83,
|
84 |
+
"learning_rate": 5.520169851380042e-07,
|
85 |
+
"loss": 1.3164,
|
86 |
+
"step": 130
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.89,
|
90 |
+
"learning_rate": 5.9447983014862e-07,
|
91 |
+
"loss": 1.3017,
|
92 |
+
"step": 140
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.96,
|
96 |
+
"learning_rate": 6.369426751592356e-07,
|
97 |
+
"loss": 1.2903,
|
98 |
+
"step": 150
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.0,
|
102 |
+
"eval_accuracy": 0.445,
|
103 |
+
"eval_loss": 1.260408878326416,
|
104 |
+
"eval_runtime": 129.0129,
|
105 |
+
"eval_samples_per_second": 3.1,
|
106 |
+
"eval_steps_per_second": 0.388,
|
107 |
+
"step": 157
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.02,
|
111 |
+
"learning_rate": 6.794055201698513e-07,
|
112 |
+
"loss": 1.2839,
|
113 |
+
"step": 160
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.08,
|
117 |
+
"learning_rate": 7.21868365180467e-07,
|
118 |
+
"loss": 1.226,
|
119 |
+
"step": 170
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.15,
|
123 |
+
"learning_rate": 7.643312101910829e-07,
|
124 |
+
"loss": 1.2273,
|
125 |
+
"step": 180
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.21,
|
129 |
+
"learning_rate": 8.067940552016985e-07,
|
130 |
+
"loss": 1.2059,
|
131 |
+
"step": 190
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.27,
|
135 |
+
"learning_rate": 8.492569002123142e-07,
|
136 |
+
"loss": 1.1669,
|
137 |
+
"step": 200
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.34,
|
141 |
+
"learning_rate": 8.917197452229299e-07,
|
142 |
+
"loss": 1.1302,
|
143 |
+
"step": 210
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.4,
|
147 |
+
"learning_rate": 9.341825902335457e-07,
|
148 |
+
"loss": 1.1348,
|
149 |
+
"step": 220
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.46,
|
153 |
+
"learning_rate": 9.766454352441613e-07,
|
154 |
+
"loss": 1.0836,
|
155 |
+
"step": 230
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.53,
|
159 |
+
"learning_rate": 1.019108280254777e-06,
|
160 |
+
"loss": 1.0167,
|
161 |
+
"step": 240
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.59,
|
165 |
+
"learning_rate": 1.0615711252653927e-06,
|
166 |
+
"loss": 1.0234,
|
167 |
+
"step": 250
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.66,
|
171 |
+
"learning_rate": 1.1040339702760084e-06,
|
172 |
+
"loss": 1.0272,
|
173 |
+
"step": 260
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.72,
|
177 |
+
"learning_rate": 1.146496815286624e-06,
|
178 |
+
"loss": 0.9718,
|
179 |
+
"step": 270
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.78,
|
183 |
+
"learning_rate": 1.18895966029724e-06,
|
184 |
+
"loss": 0.9686,
|
185 |
+
"step": 280
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.85,
|
189 |
+
"learning_rate": 1.2314225053078556e-06,
|
190 |
+
"loss": 0.9369,
|
191 |
+
"step": 290
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.91,
|
195 |
+
"learning_rate": 1.2738853503184713e-06,
|
196 |
+
"loss": 0.9313,
|
197 |
+
"step": 300
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.97,
|
201 |
+
"learning_rate": 1.316348195329087e-06,
|
202 |
+
"loss": 0.9537,
|
203 |
+
"step": 310
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 2.0,
|
207 |
+
"eval_accuracy": 0.52,
|
208 |
+
"eval_loss": 0.9655842781066895,
|
209 |
+
"eval_runtime": 5.4121,
|
210 |
+
"eval_samples_per_second": 73.908,
|
211 |
+
"eval_steps_per_second": 9.239,
|
212 |
+
"step": 314
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.04,
|
216 |
+
"learning_rate": 1.3588110403397026e-06,
|
217 |
+
"loss": 0.9027,
|
218 |
+
"step": 320
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.1,
|
222 |
+
"learning_rate": 1.4012738853503183e-06,
|
223 |
+
"loss": 0.8836,
|
224 |
+
"step": 330
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.17,
|
228 |
+
"learning_rate": 1.4394904458598724e-06,
|
229 |
+
"loss": 0.8358,
|
230 |
+
"step": 340
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.23,
|
234 |
+
"learning_rate": 1.481953290870488e-06,
|
235 |
+
"loss": 0.8609,
|
236 |
+
"step": 350
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 2.29,
|
240 |
+
"learning_rate": 1.5244161358811042e-06,
|
241 |
+
"loss": 0.8037,
|
242 |
+
"step": 360
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 2.36,
|
246 |
+
"learning_rate": 1.5668789808917198e-06,
|
247 |
+
"loss": 0.7825,
|
248 |
+
"step": 370
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 2.42,
|
252 |
+
"learning_rate": 1.6093418259023355e-06,
|
253 |
+
"loss": 0.8254,
|
254 |
+
"step": 380
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.48,
|
258 |
+
"learning_rate": 1.6518046709129512e-06,
|
259 |
+
"loss": 0.79,
|
260 |
+
"step": 390
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.55,
|
264 |
+
"learning_rate": 1.6942675159235668e-06,
|
265 |
+
"loss": 0.8032,
|
266 |
+
"step": 400
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.61,
|
270 |
+
"learning_rate": 1.7367303609341825e-06,
|
271 |
+
"loss": 0.7757,
|
272 |
+
"step": 410
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.68,
|
276 |
+
"learning_rate": 1.7791932059447982e-06,
|
277 |
+
"loss": 0.7849,
|
278 |
+
"step": 420
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.74,
|
282 |
+
"learning_rate": 1.8216560509554139e-06,
|
283 |
+
"loss": 0.7449,
|
284 |
+
"step": 430
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.8,
|
288 |
+
"learning_rate": 1.8641188959660298e-06,
|
289 |
+
"loss": 0.7586,
|
290 |
+
"step": 440
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.87,
|
294 |
+
"learning_rate": 1.9065817409766454e-06,
|
295 |
+
"loss": 0.7547,
|
296 |
+
"step": 450
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.93,
|
300 |
+
"learning_rate": 1.949044585987261e-06,
|
301 |
+
"loss": 0.7729,
|
302 |
+
"step": 460
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 2.99,
|
306 |
+
"learning_rate": 1.987261146496815e-06,
|
307 |
+
"loss": 0.7124,
|
308 |
+
"step": 470
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 3.0,
|
312 |
+
"eval_accuracy": 0.575,
|
313 |
+
"eval_loss": 0.8280940055847168,
|
314 |
+
"eval_runtime": 5.3205,
|
315 |
+
"eval_samples_per_second": 75.18,
|
316 |
+
"eval_steps_per_second": 9.398,
|
317 |
+
"step": 471
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 3.06,
|
321 |
+
"learning_rate": 1.996697334276952e-06,
|
322 |
+
"loss": 0.7028,
|
323 |
+
"step": 480
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 3.12,
|
327 |
+
"learning_rate": 1.9919792403868834e-06,
|
328 |
+
"loss": 0.6914,
|
329 |
+
"step": 490
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 3.18,
|
333 |
+
"learning_rate": 1.987261146496815e-06,
|
334 |
+
"loss": 0.7107,
|
335 |
+
"step": 500
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 3.25,
|
339 |
+
"learning_rate": 1.9825430526067466e-06,
|
340 |
+
"loss": 0.7197,
|
341 |
+
"step": 510
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 3.31,
|
345 |
+
"learning_rate": 1.9778249587166784e-06,
|
346 |
+
"loss": 0.6729,
|
347 |
+
"step": 520
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 3.38,
|
351 |
+
"learning_rate": 1.97310686482661e-06,
|
352 |
+
"loss": 0.699,
|
353 |
+
"step": 530
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 3.44,
|
357 |
+
"learning_rate": 1.9683887709365417e-06,
|
358 |
+
"loss": 0.6529,
|
359 |
+
"step": 540
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 3.5,
|
363 |
+
"learning_rate": 1.963670677046473e-06,
|
364 |
+
"loss": 0.6093,
|
365 |
+
"step": 550
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 3.57,
|
369 |
+
"learning_rate": 1.9589525831564045e-06,
|
370 |
+
"loss": 0.6709,
|
371 |
+
"step": 560
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 3.63,
|
375 |
+
"learning_rate": 1.9542344892663363e-06,
|
376 |
+
"loss": 0.6327,
|
377 |
+
"step": 570
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 3.69,
|
381 |
+
"learning_rate": 1.9495163953762677e-06,
|
382 |
+
"loss": 0.6713,
|
383 |
+
"step": 580
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 3.76,
|
387 |
+
"learning_rate": 1.9447983014861995e-06,
|
388 |
+
"loss": 0.6506,
|
389 |
+
"step": 590
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 3.82,
|
393 |
+
"learning_rate": 1.940080207596131e-06,
|
394 |
+
"loss": 0.6314,
|
395 |
+
"step": 600
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 3.89,
|
399 |
+
"learning_rate": 1.9353621137060628e-06,
|
400 |
+
"loss": 0.6114,
|
401 |
+
"step": 610
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 3.95,
|
405 |
+
"learning_rate": 1.930644019815994e-06,
|
406 |
+
"loss": 0.6114,
|
407 |
+
"step": 620
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 4.0,
|
411 |
+
"eval_accuracy": 0.64,
|
412 |
+
"eval_loss": 0.753457248210907,
|
413 |
+
"eval_runtime": 5.5017,
|
414 |
+
"eval_samples_per_second": 72.704,
|
415 |
+
"eval_steps_per_second": 9.088,
|
416 |
+
"step": 628
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 4.01,
|
420 |
+
"learning_rate": 1.9259259259259256e-06,
|
421 |
+
"loss": 0.6592,
|
422 |
+
"step": 630
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 4.08,
|
426 |
+
"learning_rate": 1.9212078320358574e-06,
|
427 |
+
"loss": 0.5994,
|
428 |
+
"step": 640
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 4.14,
|
432 |
+
"learning_rate": 1.916489738145789e-06,
|
433 |
+
"loss": 0.6178,
|
434 |
+
"step": 650
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 4.2,
|
438 |
+
"learning_rate": 1.9117716442557206e-06,
|
439 |
+
"loss": 0.5675,
|
440 |
+
"step": 660
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 4.27,
|
444 |
+
"learning_rate": 1.9070535503656522e-06,
|
445 |
+
"loss": 0.6167,
|
446 |
+
"step": 670
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 4.33,
|
450 |
+
"learning_rate": 1.9023354564755839e-06,
|
451 |
+
"loss": 0.5665,
|
452 |
+
"step": 680
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 4.39,
|
456 |
+
"learning_rate": 1.8976173625855155e-06,
|
457 |
+
"loss": 0.6061,
|
458 |
+
"step": 690
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 4.46,
|
462 |
+
"learning_rate": 1.892899268695447e-06,
|
463 |
+
"loss": 0.5977,
|
464 |
+
"step": 700
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 4.52,
|
468 |
+
"learning_rate": 1.8881811748053787e-06,
|
469 |
+
"loss": 0.5113,
|
470 |
+
"step": 710
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 4.59,
|
474 |
+
"learning_rate": 1.8834630809153101e-06,
|
475 |
+
"loss": 0.5353,
|
476 |
+
"step": 720
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 4.65,
|
480 |
+
"learning_rate": 1.8787449870252417e-06,
|
481 |
+
"loss": 0.5925,
|
482 |
+
"step": 730
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 4.71,
|
486 |
+
"learning_rate": 1.8740268931351733e-06,
|
487 |
+
"loss": 0.5639,
|
488 |
+
"step": 740
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 4.78,
|
492 |
+
"learning_rate": 1.869308799245105e-06,
|
493 |
+
"loss": 0.5562,
|
494 |
+
"step": 750
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 4.84,
|
498 |
+
"learning_rate": 1.8645907053550366e-06,
|
499 |
+
"loss": 0.544,
|
500 |
+
"step": 760
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 4.9,
|
504 |
+
"learning_rate": 1.8598726114649682e-06,
|
505 |
+
"loss": 0.5563,
|
506 |
+
"step": 770
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 4.97,
|
510 |
+
"learning_rate": 1.8551545175748998e-06,
|
511 |
+
"loss": 0.517,
|
512 |
+
"step": 780
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 5.0,
|
516 |
+
"eval_accuracy": 0.725,
|
517 |
+
"eval_loss": 0.6396925449371338,
|
518 |
+
"eval_runtime": 5.3831,
|
519 |
+
"eval_samples_per_second": 74.306,
|
520 |
+
"eval_steps_per_second": 9.288,
|
521 |
+
"step": 785
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 5.03,
|
525 |
+
"learning_rate": 1.8504364236848314e-06,
|
526 |
+
"loss": 0.5165,
|
527 |
+
"step": 790
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 5.1,
|
531 |
+
"learning_rate": 1.845718329794763e-06,
|
532 |
+
"loss": 0.5175,
|
533 |
+
"step": 800
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 5.16,
|
537 |
+
"learning_rate": 1.8410002359046944e-06,
|
538 |
+
"loss": 0.5361,
|
539 |
+
"step": 810
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 5.22,
|
543 |
+
"learning_rate": 1.8362821420146258e-06,
|
544 |
+
"loss": 0.475,
|
545 |
+
"step": 820
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 5.29,
|
549 |
+
"learning_rate": 1.8315640481245575e-06,
|
550 |
+
"loss": 0.4947,
|
551 |
+
"step": 830
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 5.35,
|
555 |
+
"learning_rate": 1.826845954234489e-06,
|
556 |
+
"loss": 0.504,
|
557 |
+
"step": 840
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 5.41,
|
561 |
+
"learning_rate": 1.8221278603444207e-06,
|
562 |
+
"loss": 0.5223,
|
563 |
+
"step": 850
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 5.48,
|
567 |
+
"learning_rate": 1.8174097664543523e-06,
|
568 |
+
"loss": 0.4913,
|
569 |
+
"step": 860
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 5.54,
|
573 |
+
"learning_rate": 1.812691672564284e-06,
|
574 |
+
"loss": 0.4583,
|
575 |
+
"step": 870
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 5.61,
|
579 |
+
"learning_rate": 1.8079735786742155e-06,
|
580 |
+
"loss": 0.4675,
|
581 |
+
"step": 880
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 5.67,
|
585 |
+
"learning_rate": 1.803255484784147e-06,
|
586 |
+
"loss": 0.4712,
|
587 |
+
"step": 890
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 5.73,
|
591 |
+
"learning_rate": 1.7985373908940786e-06,
|
592 |
+
"loss": 0.5068,
|
593 |
+
"step": 900
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 5.8,
|
597 |
+
"learning_rate": 1.7938192970040102e-06,
|
598 |
+
"loss": 0.5049,
|
599 |
+
"step": 910
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 5.86,
|
603 |
+
"learning_rate": 1.7891012031139418e-06,
|
604 |
+
"loss": 0.4855,
|
605 |
+
"step": 920
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 5.92,
|
609 |
+
"learning_rate": 1.7843831092238734e-06,
|
610 |
+
"loss": 0.4233,
|
611 |
+
"step": 930
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 5.99,
|
615 |
+
"learning_rate": 1.779665015333805e-06,
|
616 |
+
"loss": 0.4773,
|
617 |
+
"step": 940
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 6.0,
|
621 |
+
"eval_accuracy": 0.78,
|
622 |
+
"eval_loss": 0.5554624795913696,
|
623 |
+
"eval_runtime": 5.952,
|
624 |
+
"eval_samples_per_second": 67.204,
|
625 |
+
"eval_steps_per_second": 8.4,
|
626 |
+
"step": 942
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 6.05,
|
630 |
+
"learning_rate": 1.7749469214437366e-06,
|
631 |
+
"loss": 0.455,
|
632 |
+
"step": 950
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 6.11,
|
636 |
+
"learning_rate": 1.7702288275536682e-06,
|
637 |
+
"loss": 0.4656,
|
638 |
+
"step": 960
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 6.18,
|
642 |
+
"learning_rate": 1.7655107336635999e-06,
|
643 |
+
"loss": 0.4254,
|
644 |
+
"step": 970
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 6.24,
|
648 |
+
"learning_rate": 1.7607926397735313e-06,
|
649 |
+
"loss": 0.4177,
|
650 |
+
"step": 980
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 6.31,
|
654 |
+
"learning_rate": 1.7560745458834629e-06,
|
655 |
+
"loss": 0.4008,
|
656 |
+
"step": 990
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 6.37,
|
660 |
+
"learning_rate": 1.7513564519933945e-06,
|
661 |
+
"loss": 0.449,
|
662 |
+
"step": 1000
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 6.43,
|
666 |
+
"learning_rate": 1.7466383581033261e-06,
|
667 |
+
"loss": 0.4398,
|
668 |
+
"step": 1010
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 6.5,
|
672 |
+
"learning_rate": 1.7419202642132577e-06,
|
673 |
+
"loss": 0.4012,
|
674 |
+
"step": 1020
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 6.56,
|
678 |
+
"learning_rate": 1.7372021703231893e-06,
|
679 |
+
"loss": 0.3977,
|
680 |
+
"step": 1030
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 6.62,
|
684 |
+
"learning_rate": 1.732484076433121e-06,
|
685 |
+
"loss": 0.4268,
|
686 |
+
"step": 1040
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 6.69,
|
690 |
+
"learning_rate": 1.7277659825430526e-06,
|
691 |
+
"loss": 0.4132,
|
692 |
+
"step": 1050
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 6.75,
|
696 |
+
"learning_rate": 1.7230478886529842e-06,
|
697 |
+
"loss": 0.3898,
|
698 |
+
"step": 1060
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 6.82,
|
702 |
+
"learning_rate": 1.7183297947629156e-06,
|
703 |
+
"loss": 0.4145,
|
704 |
+
"step": 1070
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 6.88,
|
708 |
+
"learning_rate": 1.7136117008728472e-06,
|
709 |
+
"loss": 0.3537,
|
710 |
+
"step": 1080
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 6.94,
|
714 |
+
"learning_rate": 1.7088936069827788e-06,
|
715 |
+
"loss": 0.402,
|
716 |
+
"step": 1090
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 7.0,
|
720 |
+
"eval_accuracy": 0.845,
|
721 |
+
"eval_loss": 0.4491625130176544,
|
722 |
+
"eval_runtime": 5.5591,
|
723 |
+
"eval_samples_per_second": 71.954,
|
724 |
+
"eval_steps_per_second": 8.994,
|
725 |
+
"step": 1099
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 7.01,
|
729 |
+
"learning_rate": 1.7041755130927104e-06,
|
730 |
+
"loss": 0.376,
|
731 |
+
"step": 1100
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 7.07,
|
735 |
+
"learning_rate": 1.699457419202642e-06,
|
736 |
+
"loss": 0.3519,
|
737 |
+
"step": 1110
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 7.13,
|
741 |
+
"learning_rate": 1.6947393253125737e-06,
|
742 |
+
"loss": 0.3645,
|
743 |
+
"step": 1120
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 7.2,
|
747 |
+
"learning_rate": 1.6900212314225053e-06,
|
748 |
+
"loss": 0.3703,
|
749 |
+
"step": 1130
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 7.26,
|
753 |
+
"learning_rate": 1.685303137532437e-06,
|
754 |
+
"loss": 0.3766,
|
755 |
+
"step": 1140
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 7.32,
|
759 |
+
"learning_rate": 1.6805850436423683e-06,
|
760 |
+
"loss": 0.3608,
|
761 |
+
"step": 1150
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 7.39,
|
765 |
+
"learning_rate": 1.6758669497523e-06,
|
766 |
+
"loss": 0.3515,
|
767 |
+
"step": 1160
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 7.45,
|
771 |
+
"learning_rate": 1.6711488558622315e-06,
|
772 |
+
"loss": 0.3624,
|
773 |
+
"step": 1170
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 7.52,
|
777 |
+
"learning_rate": 1.6664307619721631e-06,
|
778 |
+
"loss": 0.3434,
|
779 |
+
"step": 1180
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 7.58,
|
783 |
+
"learning_rate": 1.6617126680820948e-06,
|
784 |
+
"loss": 0.3247,
|
785 |
+
"step": 1190
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 7.64,
|
789 |
+
"learning_rate": 1.6569945741920264e-06,
|
790 |
+
"loss": 0.3103,
|
791 |
+
"step": 1200
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 7.71,
|
795 |
+
"learning_rate": 1.652276480301958e-06,
|
796 |
+
"loss": 0.3281,
|
797 |
+
"step": 1210
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 7.77,
|
801 |
+
"learning_rate": 1.6475583864118896e-06,
|
802 |
+
"loss": 0.3692,
|
803 |
+
"step": 1220
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 7.83,
|
807 |
+
"learning_rate": 1.6428402925218212e-06,
|
808 |
+
"loss": 0.3082,
|
809 |
+
"step": 1230
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 7.9,
|
813 |
+
"learning_rate": 1.6381221986317526e-06,
|
814 |
+
"loss": 0.3278,
|
815 |
+
"step": 1240
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 7.96,
|
819 |
+
"learning_rate": 1.6334041047416842e-06,
|
820 |
+
"loss": 0.3504,
|
821 |
+
"step": 1250
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 8.0,
|
825 |
+
"eval_accuracy": 0.8775,
|
826 |
+
"eval_loss": 0.37387552857398987,
|
827 |
+
"eval_runtime": 6.4049,
|
828 |
+
"eval_samples_per_second": 62.452,
|
829 |
+
"eval_steps_per_second": 7.807,
|
830 |
+
"step": 1256
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 8.03,
|
834 |
+
"learning_rate": 1.6286860108516159e-06,
|
835 |
+
"loss": 0.3603,
|
836 |
+
"step": 1260
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 8.09,
|
840 |
+
"learning_rate": 1.6239679169615475e-06,
|
841 |
+
"loss": 0.2868,
|
842 |
+
"step": 1270
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 8.15,
|
846 |
+
"learning_rate": 1.619249823071479e-06,
|
847 |
+
"loss": 0.292,
|
848 |
+
"step": 1280
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 8.22,
|
852 |
+
"learning_rate": 1.6145317291814107e-06,
|
853 |
+
"loss": 0.321,
|
854 |
+
"step": 1290
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 8.28,
|
858 |
+
"learning_rate": 1.6098136352913423e-06,
|
859 |
+
"loss": 0.3054,
|
860 |
+
"step": 1300
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 8.34,
|
864 |
+
"learning_rate": 1.605095541401274e-06,
|
865 |
+
"loss": 0.2833,
|
866 |
+
"step": 1310
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 8.41,
|
870 |
+
"learning_rate": 1.6003774475112053e-06,
|
871 |
+
"loss": 0.3144,
|
872 |
+
"step": 1320
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 8.47,
|
876 |
+
"learning_rate": 1.595659353621137e-06,
|
877 |
+
"loss": 0.2801,
|
878 |
+
"step": 1330
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 8.54,
|
882 |
+
"learning_rate": 1.5909412597310686e-06,
|
883 |
+
"loss": 0.2938,
|
884 |
+
"step": 1340
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 8.6,
|
888 |
+
"learning_rate": 1.5862231658410002e-06,
|
889 |
+
"loss": 0.2794,
|
890 |
+
"step": 1350
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 8.66,
|
894 |
+
"learning_rate": 1.5815050719509318e-06,
|
895 |
+
"loss": 0.2566,
|
896 |
+
"step": 1360
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 8.73,
|
900 |
+
"learning_rate": 1.5767869780608634e-06,
|
901 |
+
"loss": 0.2926,
|
902 |
+
"step": 1370
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 8.79,
|
906 |
+
"learning_rate": 1.572068884170795e-06,
|
907 |
+
"loss": 0.2733,
|
908 |
+
"step": 1380
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 8.85,
|
912 |
+
"learning_rate": 1.5673507902807266e-06,
|
913 |
+
"loss": 0.2815,
|
914 |
+
"step": 1390
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 8.92,
|
918 |
+
"learning_rate": 1.5626326963906583e-06,
|
919 |
+
"loss": 0.2973,
|
920 |
+
"step": 1400
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 8.98,
|
924 |
+
"learning_rate": 1.5579146025005897e-06,
|
925 |
+
"loss": 0.2584,
|
926 |
+
"step": 1410
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 9.0,
|
930 |
+
"eval_accuracy": 0.89,
|
931 |
+
"eval_loss": 0.3347581624984741,
|
932 |
+
"eval_runtime": 6.0288,
|
933 |
+
"eval_samples_per_second": 66.348,
|
934 |
+
"eval_steps_per_second": 8.294,
|
935 |
+
"step": 1413
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 9.04,
|
939 |
+
"learning_rate": 1.5531965086105213e-06,
|
940 |
+
"loss": 0.2353,
|
941 |
+
"step": 1420
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 9.11,
|
945 |
+
"learning_rate": 1.548478414720453e-06,
|
946 |
+
"loss": 0.2659,
|
947 |
+
"step": 1430
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 9.17,
|
951 |
+
"learning_rate": 1.5437603208303845e-06,
|
952 |
+
"loss": 0.2395,
|
953 |
+
"step": 1440
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 9.24,
|
957 |
+
"learning_rate": 1.5390422269403161e-06,
|
958 |
+
"loss": 0.2494,
|
959 |
+
"step": 1450
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 9.3,
|
963 |
+
"learning_rate": 1.5343241330502477e-06,
|
964 |
+
"loss": 0.2551,
|
965 |
+
"step": 1460
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 9.36,
|
969 |
+
"learning_rate": 1.5296060391601794e-06,
|
970 |
+
"loss": 0.2346,
|
971 |
+
"step": 1470
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 9.43,
|
975 |
+
"learning_rate": 1.524887945270111e-06,
|
976 |
+
"loss": 0.2311,
|
977 |
+
"step": 1480
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 9.49,
|
981 |
+
"learning_rate": 1.5201698513800426e-06,
|
982 |
+
"loss": 0.237,
|
983 |
+
"step": 1490
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 9.55,
|
987 |
+
"learning_rate": 1.515451757489974e-06,
|
988 |
+
"loss": 0.2366,
|
989 |
+
"step": 1500
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 9.62,
|
993 |
+
"learning_rate": 1.5107336635999056e-06,
|
994 |
+
"loss": 0.242,
|
995 |
+
"step": 1510
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 9.68,
|
999 |
+
"learning_rate": 1.5060155697098372e-06,
|
1000 |
+
"loss": 0.2635,
|
1001 |
+
"step": 1520
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 9.75,
|
1005 |
+
"learning_rate": 1.5012974758197688e-06,
|
1006 |
+
"loss": 0.2243,
|
1007 |
+
"step": 1530
|
1008 |
+
},
|
1009 |
+
{
|
1010 |
+
"epoch": 9.81,
|
1011 |
+
"learning_rate": 1.4965793819297002e-06,
|
1012 |
+
"loss": 0.236,
|
1013 |
+
"step": 1540
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 9.87,
|
1017 |
+
"learning_rate": 1.4918612880396319e-06,
|
1018 |
+
"loss": 0.2312,
|
1019 |
+
"step": 1550
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 9.94,
|
1023 |
+
"learning_rate": 1.4871431941495635e-06,
|
1024 |
+
"loss": 0.2357,
|
1025 |
+
"step": 1560
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 10.0,
|
1029 |
+
"learning_rate": 1.482425100259495e-06,
|
1030 |
+
"loss": 0.2439,
|
1031 |
+
"step": 1570
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 10.0,
|
1035 |
+
"eval_accuracy": 0.9,
|
1036 |
+
"eval_loss": 0.29536351561546326,
|
1037 |
+
"eval_runtime": 6.1912,
|
1038 |
+
"eval_samples_per_second": 64.608,
|
1039 |
+
"eval_steps_per_second": 8.076,
|
1040 |
+
"step": 1570
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 10.06,
|
1044 |
+
"learning_rate": 1.4777070063694265e-06,
|
1045 |
+
"loss": 0.2089,
|
1046 |
+
"step": 1580
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 10.13,
|
1050 |
+
"learning_rate": 1.4729889124793581e-06,
|
1051 |
+
"loss": 0.198,
|
1052 |
+
"step": 1590
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 10.19,
|
1056 |
+
"learning_rate": 1.4682708185892897e-06,
|
1057 |
+
"loss": 0.2017,
|
1058 |
+
"step": 1600
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 10.25,
|
1062 |
+
"learning_rate": 1.4635527246992213e-06,
|
1063 |
+
"loss": 0.2091,
|
1064 |
+
"step": 1610
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 10.32,
|
1068 |
+
"learning_rate": 1.458834630809153e-06,
|
1069 |
+
"loss": 0.2016,
|
1070 |
+
"step": 1620
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 10.38,
|
1074 |
+
"learning_rate": 1.4541165369190846e-06,
|
1075 |
+
"loss": 0.2036,
|
1076 |
+
"step": 1630
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 10.45,
|
1080 |
+
"learning_rate": 1.4493984430290162e-06,
|
1081 |
+
"loss": 0.2159,
|
1082 |
+
"step": 1640
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 10.51,
|
1086 |
+
"learning_rate": 1.4446803491389478e-06,
|
1087 |
+
"loss": 0.2042,
|
1088 |
+
"step": 1650
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 10.57,
|
1092 |
+
"learning_rate": 1.4399622552488794e-06,
|
1093 |
+
"loss": 0.1891,
|
1094 |
+
"step": 1660
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 10.64,
|
1098 |
+
"learning_rate": 1.4352441613588108e-06,
|
1099 |
+
"loss": 0.196,
|
1100 |
+
"step": 1670
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 10.7,
|
1104 |
+
"learning_rate": 1.4305260674687424e-06,
|
1105 |
+
"loss": 0.1919,
|
1106 |
+
"step": 1680
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 10.76,
|
1110 |
+
"learning_rate": 1.425807973578674e-06,
|
1111 |
+
"loss": 0.1908,
|
1112 |
+
"step": 1690
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 10.83,
|
1116 |
+
"learning_rate": 1.4210898796886057e-06,
|
1117 |
+
"loss": 0.2065,
|
1118 |
+
"step": 1700
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 10.89,
|
1122 |
+
"learning_rate": 1.4163717857985373e-06,
|
1123 |
+
"loss": 0.1718,
|
1124 |
+
"step": 1710
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 10.96,
|
1128 |
+
"learning_rate": 1.411653691908469e-06,
|
1129 |
+
"loss": 0.1925,
|
1130 |
+
"step": 1720
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 11.0,
|
1134 |
+
"eval_accuracy": 0.9275,
|
1135 |
+
"eval_loss": 0.24589473009109497,
|
1136 |
+
"eval_runtime": 9.3749,
|
1137 |
+
"eval_samples_per_second": 42.667,
|
1138 |
+
"eval_steps_per_second": 5.333,
|
1139 |
+
"step": 1727
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 11.02,
|
1143 |
+
"learning_rate": 1.4069355980184005e-06,
|
1144 |
+
"loss": 0.2006,
|
1145 |
+
"step": 1730
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 11.08,
|
1149 |
+
"learning_rate": 1.4022175041283321e-06,
|
1150 |
+
"loss": 0.1676,
|
1151 |
+
"step": 1740
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 11.15,
|
1155 |
+
"learning_rate": 1.3974994102382637e-06,
|
1156 |
+
"loss": 0.1749,
|
1157 |
+
"step": 1750
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 11.21,
|
1161 |
+
"learning_rate": 1.3927813163481951e-06,
|
1162 |
+
"loss": 0.1616,
|
1163 |
+
"step": 1760
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 11.27,
|
1167 |
+
"learning_rate": 1.3880632224581268e-06,
|
1168 |
+
"loss": 0.1564,
|
1169 |
+
"step": 1770
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 11.34,
|
1173 |
+
"learning_rate": 1.3833451285680584e-06,
|
1174 |
+
"loss": 0.1709,
|
1175 |
+
"step": 1780
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 11.4,
|
1179 |
+
"learning_rate": 1.37862703467799e-06,
|
1180 |
+
"loss": 0.1612,
|
1181 |
+
"step": 1790
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 11.46,
|
1185 |
+
"learning_rate": 1.3739089407879216e-06,
|
1186 |
+
"loss": 0.1634,
|
1187 |
+
"step": 1800
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 11.53,
|
1191 |
+
"learning_rate": 1.3691908468978532e-06,
|
1192 |
+
"loss": 0.1604,
|
1193 |
+
"step": 1810
|
1194 |
+
},
|
1195 |
+
{
|
1196 |
+
"epoch": 11.59,
|
1197 |
+
"learning_rate": 1.3644727530077848e-06,
|
1198 |
+
"loss": 0.167,
|
1199 |
+
"step": 1820
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 11.66,
|
1203 |
+
"learning_rate": 1.3597546591177165e-06,
|
1204 |
+
"loss": 0.1548,
|
1205 |
+
"step": 1830
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 11.72,
|
1209 |
+
"learning_rate": 1.3550365652276479e-06,
|
1210 |
+
"loss": 0.1718,
|
1211 |
+
"step": 1840
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 11.78,
|
1215 |
+
"learning_rate": 1.3503184713375795e-06,
|
1216 |
+
"loss": 0.1443,
|
1217 |
+
"step": 1850
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 11.85,
|
1221 |
+
"learning_rate": 1.345600377447511e-06,
|
1222 |
+
"loss": 0.1606,
|
1223 |
+
"step": 1860
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 11.91,
|
1227 |
+
"learning_rate": 1.3408822835574427e-06,
|
1228 |
+
"loss": 0.1703,
|
1229 |
+
"step": 1870
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 11.97,
|
1233 |
+
"learning_rate": 1.3361641896673743e-06,
|
1234 |
+
"loss": 0.1693,
|
1235 |
+
"step": 1880
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 12.0,
|
1239 |
+
"eval_accuracy": 0.9325,
|
1240 |
+
"eval_loss": 0.21917079389095306,
|
1241 |
+
"eval_runtime": 5.5809,
|
1242 |
+
"eval_samples_per_second": 71.673,
|
1243 |
+
"eval_steps_per_second": 8.959,
|
1244 |
+
"step": 1884
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 12.04,
|
1248 |
+
"learning_rate": 1.331446095777306e-06,
|
1249 |
+
"loss": 0.1501,
|
1250 |
+
"step": 1890
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 12.1,
|
1254 |
+
"learning_rate": 1.3267280018872375e-06,
|
1255 |
+
"loss": 0.1339,
|
1256 |
+
"step": 1900
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 12.17,
|
1260 |
+
"learning_rate": 1.3220099079971692e-06,
|
1261 |
+
"loss": 0.1506,
|
1262 |
+
"step": 1910
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 12.23,
|
1266 |
+
"learning_rate": 1.3172918141071008e-06,
|
1267 |
+
"loss": 0.1347,
|
1268 |
+
"step": 1920
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 12.29,
|
1272 |
+
"learning_rate": 1.3125737202170322e-06,
|
1273 |
+
"loss": 0.1378,
|
1274 |
+
"step": 1930
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 12.36,
|
1278 |
+
"learning_rate": 1.3078556263269638e-06,
|
1279 |
+
"loss": 0.1367,
|
1280 |
+
"step": 1940
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 12.42,
|
1284 |
+
"learning_rate": 1.3031375324368954e-06,
|
1285 |
+
"loss": 0.1236,
|
1286 |
+
"step": 1950
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 12.48,
|
1290 |
+
"learning_rate": 1.298419438546827e-06,
|
1291 |
+
"loss": 0.1332,
|
1292 |
+
"step": 1960
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 12.55,
|
1296 |
+
"learning_rate": 1.2937013446567586e-06,
|
1297 |
+
"loss": 0.1424,
|
1298 |
+
"step": 1970
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 12.61,
|
1302 |
+
"learning_rate": 1.2889832507666903e-06,
|
1303 |
+
"loss": 0.1426,
|
1304 |
+
"step": 1980
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 12.68,
|
1308 |
+
"learning_rate": 1.2842651568766219e-06,
|
1309 |
+
"loss": 0.1364,
|
1310 |
+
"step": 1990
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 12.74,
|
1314 |
+
"learning_rate": 1.2795470629865535e-06,
|
1315 |
+
"loss": 0.1488,
|
1316 |
+
"step": 2000
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 12.8,
|
1320 |
+
"learning_rate": 1.274828969096485e-06,
|
1321 |
+
"loss": 0.1308,
|
1322 |
+
"step": 2010
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 12.87,
|
1326 |
+
"learning_rate": 1.2701108752064165e-06,
|
1327 |
+
"loss": 0.1278,
|
1328 |
+
"step": 2020
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 12.93,
|
1332 |
+
"learning_rate": 1.2653927813163481e-06,
|
1333 |
+
"loss": 0.1134,
|
1334 |
+
"step": 2030
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 12.99,
|
1338 |
+
"learning_rate": 1.2606746874262797e-06,
|
1339 |
+
"loss": 0.1157,
|
1340 |
+
"step": 2040
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 13.0,
|
1344 |
+
"eval_accuracy": 0.9375,
|
1345 |
+
"eval_loss": 0.22450672090053558,
|
1346 |
+
"eval_runtime": 5.5269,
|
1347 |
+
"eval_samples_per_second": 72.373,
|
1348 |
+
"eval_steps_per_second": 9.047,
|
1349 |
+
"step": 2041
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 13.06,
|
1353 |
+
"learning_rate": 1.2559565935362114e-06,
|
1354 |
+
"loss": 0.1235,
|
1355 |
+
"step": 2050
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 13.12,
|
1359 |
+
"learning_rate": 1.251238499646143e-06,
|
1360 |
+
"loss": 0.117,
|
1361 |
+
"step": 2060
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 13.18,
|
1365 |
+
"learning_rate": 1.2465204057560746e-06,
|
1366 |
+
"loss": 0.1192,
|
1367 |
+
"step": 2070
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 13.25,
|
1371 |
+
"learning_rate": 1.2418023118660062e-06,
|
1372 |
+
"loss": 0.1031,
|
1373 |
+
"step": 2080
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 13.31,
|
1377 |
+
"learning_rate": 1.2370842179759378e-06,
|
1378 |
+
"loss": 0.1111,
|
1379 |
+
"step": 2090
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 13.38,
|
1383 |
+
"learning_rate": 1.2323661240858692e-06,
|
1384 |
+
"loss": 0.0991,
|
1385 |
+
"step": 2100
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 13.44,
|
1389 |
+
"learning_rate": 1.2276480301958008e-06,
|
1390 |
+
"loss": 0.1041,
|
1391 |
+
"step": 2110
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 13.5,
|
1395 |
+
"learning_rate": 1.2229299363057325e-06,
|
1396 |
+
"loss": 0.1251,
|
1397 |
+
"step": 2120
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"epoch": 13.57,
|
1401 |
+
"learning_rate": 1.218211842415664e-06,
|
1402 |
+
"loss": 0.0937,
|
1403 |
+
"step": 2130
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 13.63,
|
1407 |
+
"learning_rate": 1.2134937485255957e-06,
|
1408 |
+
"loss": 0.1133,
|
1409 |
+
"step": 2140
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 13.69,
|
1413 |
+
"learning_rate": 1.2087756546355273e-06,
|
1414 |
+
"loss": 0.0928,
|
1415 |
+
"step": 2150
|
1416 |
+
},
|
1417 |
+
{
|
1418 |
+
"epoch": 13.76,
|
1419 |
+
"learning_rate": 1.204057560745459e-06,
|
1420 |
+
"loss": 0.1286,
|
1421 |
+
"step": 2160
|
1422 |
+
},
|
1423 |
+
{
|
1424 |
+
"epoch": 13.82,
|
1425 |
+
"learning_rate": 1.1993394668553905e-06,
|
1426 |
+
"loss": 0.102,
|
1427 |
+
"step": 2170
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 13.89,
|
1431 |
+
"learning_rate": 1.1946213729653221e-06,
|
1432 |
+
"loss": 0.1028,
|
1433 |
+
"step": 2180
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 13.95,
|
1437 |
+
"learning_rate": 1.1899032790752535e-06,
|
1438 |
+
"loss": 0.1014,
|
1439 |
+
"step": 2190
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 14.0,
|
1443 |
+
"eval_accuracy": 0.9475,
|
1444 |
+
"eval_loss": 0.18889574706554413,
|
1445 |
+
"eval_runtime": 5.4539,
|
1446 |
+
"eval_samples_per_second": 73.342,
|
1447 |
+
"eval_steps_per_second": 9.168,
|
1448 |
+
"step": 2198
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 14.01,
|
1452 |
+
"learning_rate": 1.1851851851851852e-06,
|
1453 |
+
"loss": 0.112,
|
1454 |
+
"step": 2200
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 14.08,
|
1458 |
+
"learning_rate": 1.1804670912951168e-06,
|
1459 |
+
"loss": 0.0879,
|
1460 |
+
"step": 2210
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 14.14,
|
1464 |
+
"learning_rate": 1.1757489974050484e-06,
|
1465 |
+
"loss": 0.089,
|
1466 |
+
"step": 2220
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 14.2,
|
1470 |
+
"learning_rate": 1.17103090351498e-06,
|
1471 |
+
"loss": 0.0844,
|
1472 |
+
"step": 2230
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 14.27,
|
1476 |
+
"learning_rate": 1.1663128096249116e-06,
|
1477 |
+
"loss": 0.0949,
|
1478 |
+
"step": 2240
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 14.33,
|
1482 |
+
"learning_rate": 1.161594715734843e-06,
|
1483 |
+
"loss": 0.1087,
|
1484 |
+
"step": 2250
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 14.39,
|
1488 |
+
"learning_rate": 1.1568766218447746e-06,
|
1489 |
+
"loss": 0.0824,
|
1490 |
+
"step": 2260
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 14.46,
|
1494 |
+
"learning_rate": 1.152158527954706e-06,
|
1495 |
+
"loss": 0.0885,
|
1496 |
+
"step": 2270
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 14.52,
|
1500 |
+
"learning_rate": 1.1474404340646377e-06,
|
1501 |
+
"loss": 0.0886,
|
1502 |
+
"step": 2280
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 14.59,
|
1506 |
+
"learning_rate": 1.1427223401745693e-06,
|
1507 |
+
"loss": 0.1076,
|
1508 |
+
"step": 2290
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 14.65,
|
1512 |
+
"learning_rate": 1.1380042462845009e-06,
|
1513 |
+
"loss": 0.0756,
|
1514 |
+
"step": 2300
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 14.71,
|
1518 |
+
"learning_rate": 1.1332861523944325e-06,
|
1519 |
+
"loss": 0.0855,
|
1520 |
+
"step": 2310
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 14.78,
|
1524 |
+
"learning_rate": 1.1285680585043641e-06,
|
1525 |
+
"loss": 0.0811,
|
1526 |
+
"step": 2320
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 14.84,
|
1530 |
+
"learning_rate": 1.1238499646142957e-06,
|
1531 |
+
"loss": 0.0884,
|
1532 |
+
"step": 2330
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 14.9,
|
1536 |
+
"learning_rate": 1.1191318707242274e-06,
|
1537 |
+
"loss": 0.0899,
|
1538 |
+
"step": 2340
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 14.97,
|
1542 |
+
"learning_rate": 1.114413776834159e-06,
|
1543 |
+
"loss": 0.075,
|
1544 |
+
"step": 2350
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 15.0,
|
1548 |
+
"eval_accuracy": 0.9525,
|
1549 |
+
"eval_loss": 0.17460297048091888,
|
1550 |
+
"eval_runtime": 5.5354,
|
1551 |
+
"eval_samples_per_second": 72.262,
|
1552 |
+
"eval_steps_per_second": 9.033,
|
1553 |
+
"step": 2355
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 15.03,
|
1557 |
+
"learning_rate": 1.1096956829440904e-06,
|
1558 |
+
"loss": 0.0766,
|
1559 |
+
"step": 2360
|
1560 |
+
},
|
1561 |
+
{
|
1562 |
+
"epoch": 15.1,
|
1563 |
+
"learning_rate": 1.104977589054022e-06,
|
1564 |
+
"loss": 0.0702,
|
1565 |
+
"step": 2370
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 15.16,
|
1569 |
+
"learning_rate": 1.1002594951639536e-06,
|
1570 |
+
"loss": 0.0888,
|
1571 |
+
"step": 2380
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 15.22,
|
1575 |
+
"learning_rate": 1.0955414012738852e-06,
|
1576 |
+
"loss": 0.0716,
|
1577 |
+
"step": 2390
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 15.29,
|
1581 |
+
"learning_rate": 1.0908233073838168e-06,
|
1582 |
+
"loss": 0.0687,
|
1583 |
+
"step": 2400
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 15.35,
|
1587 |
+
"learning_rate": 1.0861052134937485e-06,
|
1588 |
+
"loss": 0.073,
|
1589 |
+
"step": 2410
|
1590 |
+
},
|
1591 |
+
{
|
1592 |
+
"epoch": 15.41,
|
1593 |
+
"learning_rate": 1.08138711960368e-06,
|
1594 |
+
"loss": 0.0695,
|
1595 |
+
"step": 2420
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 15.48,
|
1599 |
+
"learning_rate": 1.0766690257136117e-06,
|
1600 |
+
"loss": 0.0738,
|
1601 |
+
"step": 2430
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 15.54,
|
1605 |
+
"learning_rate": 1.0719509318235433e-06,
|
1606 |
+
"loss": 0.0836,
|
1607 |
+
"step": 2440
|
1608 |
+
},
|
1609 |
+
{
|
1610 |
+
"epoch": 15.61,
|
1611 |
+
"learning_rate": 1.0672328379334747e-06,
|
1612 |
+
"loss": 0.0622,
|
1613 |
+
"step": 2450
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 15.67,
|
1617 |
+
"learning_rate": 1.0625147440434063e-06,
|
1618 |
+
"loss": 0.0706,
|
1619 |
+
"step": 2460
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 15.73,
|
1623 |
+
"learning_rate": 1.057796650153338e-06,
|
1624 |
+
"loss": 0.0688,
|
1625 |
+
"step": 2470
|
1626 |
+
},
|
1627 |
+
{
|
1628 |
+
"epoch": 15.8,
|
1629 |
+
"learning_rate": 1.0530785562632695e-06,
|
1630 |
+
"loss": 0.0674,
|
1631 |
+
"step": 2480
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 15.86,
|
1635 |
+
"learning_rate": 1.0483604623732012e-06,
|
1636 |
+
"loss": 0.0794,
|
1637 |
+
"step": 2490
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 15.92,
|
1641 |
+
"learning_rate": 1.0436423684831328e-06,
|
1642 |
+
"loss": 0.0604,
|
1643 |
+
"step": 2500
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 15.99,
|
1647 |
+
"learning_rate": 1.0389242745930644e-06,
|
1648 |
+
"loss": 0.0581,
|
1649 |
+
"step": 2510
|
1650 |
+
},
|
1651 |
+
{
|
1652 |
+
"epoch": 16.0,
|
1653 |
+
"eval_accuracy": 0.95,
|
1654 |
+
"eval_loss": 0.17460142076015472,
|
1655 |
+
"eval_runtime": 5.4732,
|
1656 |
+
"eval_samples_per_second": 73.083,
|
1657 |
+
"eval_steps_per_second": 9.135,
|
1658 |
+
"step": 2512
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 16.05,
|
1662 |
+
"learning_rate": 1.034206180702996e-06,
|
1663 |
+
"loss": 0.0688,
|
1664 |
+
"step": 2520
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 16.11,
|
1668 |
+
"learning_rate": 1.0294880868129274e-06,
|
1669 |
+
"loss": 0.0559,
|
1670 |
+
"step": 2530
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 16.18,
|
1674 |
+
"learning_rate": 1.024769992922859e-06,
|
1675 |
+
"loss": 0.0561,
|
1676 |
+
"step": 2540
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 16.24,
|
1680 |
+
"learning_rate": 1.0200518990327906e-06,
|
1681 |
+
"loss": 0.0558,
|
1682 |
+
"step": 2550
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 16.31,
|
1686 |
+
"learning_rate": 1.0153338051427223e-06,
|
1687 |
+
"loss": 0.0602,
|
1688 |
+
"step": 2560
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 16.37,
|
1692 |
+
"learning_rate": 1.0106157112526539e-06,
|
1693 |
+
"loss": 0.0605,
|
1694 |
+
"step": 2570
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 16.43,
|
1698 |
+
"learning_rate": 1.0058976173625855e-06,
|
1699 |
+
"loss": 0.0516,
|
1700 |
+
"step": 2580
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 16.5,
|
1704 |
+
"learning_rate": 1.001179523472517e-06,
|
1705 |
+
"loss": 0.0566,
|
1706 |
+
"step": 2590
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 16.56,
|
1710 |
+
"learning_rate": 9.964614295824485e-07,
|
1711 |
+
"loss": 0.0624,
|
1712 |
+
"step": 2600
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 16.62,
|
1716 |
+
"learning_rate": 9.92215145081387e-07,
|
1717 |
+
"loss": 0.0522,
|
1718 |
+
"step": 2610
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 16.69,
|
1722 |
+
"learning_rate": 9.879688605803254e-07,
|
1723 |
+
"loss": 0.0563,
|
1724 |
+
"step": 2620
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 16.75,
|
1728 |
+
"learning_rate": 9.83250766690257e-07,
|
1729 |
+
"loss": 0.0583,
|
1730 |
+
"step": 2630
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"epoch": 16.82,
|
1734 |
+
"learning_rate": 9.785326728001886e-07,
|
1735 |
+
"loss": 0.0587,
|
1736 |
+
"step": 2640
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 16.88,
|
1740 |
+
"learning_rate": 9.738145789101202e-07,
|
1741 |
+
"loss": 0.0552,
|
1742 |
+
"step": 2650
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 16.94,
|
1746 |
+
"learning_rate": 9.690964850200518e-07,
|
1747 |
+
"loss": 0.0612,
|
1748 |
+
"step": 2660
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 17.0,
|
1752 |
+
"eval_accuracy": 0.9575,
|
1753 |
+
"eval_loss": 0.14898547530174255,
|
1754 |
+
"eval_runtime": 5.3718,
|
1755 |
+
"eval_samples_per_second": 74.462,
|
1756 |
+
"eval_steps_per_second": 9.308,
|
1757 |
+
"step": 2669
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 17.01,
|
1761 |
+
"learning_rate": 9.643783911299834e-07,
|
1762 |
+
"loss": 0.0464,
|
1763 |
+
"step": 2670
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 17.07,
|
1767 |
+
"learning_rate": 9.59660297239915e-07,
|
1768 |
+
"loss": 0.049,
|
1769 |
+
"step": 2680
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 17.13,
|
1773 |
+
"learning_rate": 9.549422033498467e-07,
|
1774 |
+
"loss": 0.0484,
|
1775 |
+
"step": 2690
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 17.2,
|
1779 |
+
"learning_rate": 9.502241094597782e-07,
|
1780 |
+
"loss": 0.0419,
|
1781 |
+
"step": 2700
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 17.26,
|
1785 |
+
"learning_rate": 9.455060155697098e-07,
|
1786 |
+
"loss": 0.0422,
|
1787 |
+
"step": 2710
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 17.32,
|
1791 |
+
"learning_rate": 9.407879216796414e-07,
|
1792 |
+
"loss": 0.0476,
|
1793 |
+
"step": 2720
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 17.39,
|
1797 |
+
"learning_rate": 9.36069827789573e-07,
|
1798 |
+
"loss": 0.054,
|
1799 |
+
"step": 2730
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 17.45,
|
1803 |
+
"learning_rate": 9.313517338995047e-07,
|
1804 |
+
"loss": 0.0452,
|
1805 |
+
"step": 2740
|
1806 |
+
},
|
1807 |
+
{
|
1808 |
+
"epoch": 17.52,
|
1809 |
+
"learning_rate": 9.266336400094362e-07,
|
1810 |
+
"loss": 0.0474,
|
1811 |
+
"step": 2750
|
1812 |
+
},
|
1813 |
+
{
|
1814 |
+
"epoch": 17.58,
|
1815 |
+
"learning_rate": 9.219155461193678e-07,
|
1816 |
+
"loss": 0.0406,
|
1817 |
+
"step": 2760
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 17.64,
|
1821 |
+
"learning_rate": 9.171974522292994e-07,
|
1822 |
+
"loss": 0.0482,
|
1823 |
+
"step": 2770
|
1824 |
+
},
|
1825 |
+
{
|
1826 |
+
"epoch": 17.71,
|
1827 |
+
"learning_rate": 9.124793583392309e-07,
|
1828 |
+
"loss": 0.0407,
|
1829 |
+
"step": 2780
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 17.77,
|
1833 |
+
"learning_rate": 9.077612644491624e-07,
|
1834 |
+
"loss": 0.043,
|
1835 |
+
"step": 2790
|
1836 |
+
},
|
1837 |
+
{
|
1838 |
+
"epoch": 17.83,
|
1839 |
+
"learning_rate": 9.03043170559094e-07,
|
1840 |
+
"loss": 0.0468,
|
1841 |
+
"step": 2800
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 17.9,
|
1845 |
+
"learning_rate": 8.983250766690256e-07,
|
1846 |
+
"loss": 0.0381,
|
1847 |
+
"step": 2810
|
1848 |
+
},
|
1849 |
+
{
|
1850 |
+
"epoch": 17.96,
|
1851 |
+
"learning_rate": 8.936069827789573e-07,
|
1852 |
+
"loss": 0.0515,
|
1853 |
+
"step": 2820
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 18.0,
|
1857 |
+
"eval_accuracy": 0.955,
|
1858 |
+
"eval_loss": 0.1454763561487198,
|
1859 |
+
"eval_runtime": 5.4502,
|
1860 |
+
"eval_samples_per_second": 73.392,
|
1861 |
+
"eval_steps_per_second": 9.174,
|
1862 |
+
"step": 2826
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 18.03,
|
1866 |
+
"learning_rate": 8.888888888888888e-07,
|
1867 |
+
"loss": 0.0448,
|
1868 |
+
"step": 2830
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 18.09,
|
1872 |
+
"learning_rate": 8.841707949988204e-07,
|
1873 |
+
"loss": 0.0376,
|
1874 |
+
"step": 2840
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 18.15,
|
1878 |
+
"learning_rate": 8.79452701108752e-07,
|
1879 |
+
"loss": 0.0367,
|
1880 |
+
"step": 2850
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 18.22,
|
1884 |
+
"learning_rate": 8.747346072186836e-07,
|
1885 |
+
"loss": 0.0326,
|
1886 |
+
"step": 2860
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 18.28,
|
1890 |
+
"learning_rate": 8.700165133286152e-07,
|
1891 |
+
"loss": 0.0378,
|
1892 |
+
"step": 2870
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 18.34,
|
1896 |
+
"learning_rate": 8.652984194385467e-07,
|
1897 |
+
"loss": 0.0427,
|
1898 |
+
"step": 2880
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 18.41,
|
1902 |
+
"learning_rate": 8.605803255484784e-07,
|
1903 |
+
"loss": 0.0388,
|
1904 |
+
"step": 2890
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 18.47,
|
1908 |
+
"learning_rate": 8.5586223165841e-07,
|
1909 |
+
"loss": 0.0342,
|
1910 |
+
"step": 2900
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 18.54,
|
1914 |
+
"learning_rate": 8.511441377683416e-07,
|
1915 |
+
"loss": 0.0373,
|
1916 |
+
"step": 2910
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 18.6,
|
1920 |
+
"learning_rate": 8.464260438782731e-07,
|
1921 |
+
"loss": 0.032,
|
1922 |
+
"step": 2920
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 18.66,
|
1926 |
+
"learning_rate": 8.417079499882047e-07,
|
1927 |
+
"loss": 0.0336,
|
1928 |
+
"step": 2930
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 18.73,
|
1932 |
+
"learning_rate": 8.369898560981363e-07,
|
1933 |
+
"loss": 0.0411,
|
1934 |
+
"step": 2940
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 18.79,
|
1938 |
+
"learning_rate": 8.322717622080679e-07,
|
1939 |
+
"loss": 0.0412,
|
1940 |
+
"step": 2950
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 18.85,
|
1944 |
+
"learning_rate": 8.275536683179994e-07,
|
1945 |
+
"loss": 0.036,
|
1946 |
+
"step": 2960
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 18.92,
|
1950 |
+
"learning_rate": 8.228355744279311e-07,
|
1951 |
+
"loss": 0.0319,
|
1952 |
+
"step": 2970
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 18.98,
|
1956 |
+
"learning_rate": 8.181174805378627e-07,
|
1957 |
+
"loss": 0.0339,
|
1958 |
+
"step": 2980
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 19.0,
|
1962 |
+
"eval_accuracy": 0.965,
|
1963 |
+
"eval_loss": 0.13269954919815063,
|
1964 |
+
"eval_runtime": 5.908,
|
1965 |
+
"eval_samples_per_second": 67.705,
|
1966 |
+
"eval_steps_per_second": 8.463,
|
1967 |
+
"step": 2983
|
1968 |
+
},
|
1969 |
+
{
|
1970 |
+
"epoch": 19.04,
|
1971 |
+
"learning_rate": 8.133993866477943e-07,
|
1972 |
+
"loss": 0.0311,
|
1973 |
+
"step": 2990
|
1974 |
+
},
|
1975 |
+
{
|
1976 |
+
"epoch": 19.11,
|
1977 |
+
"learning_rate": 8.086812927577259e-07,
|
1978 |
+
"loss": 0.0308,
|
1979 |
+
"step": 3000
|
1980 |
+
},
|
1981 |
+
{
|
1982 |
+
"epoch": 19.17,
|
1983 |
+
"learning_rate": 8.039631988676574e-07,
|
1984 |
+
"loss": 0.0285,
|
1985 |
+
"step": 3010
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"epoch": 19.24,
|
1989 |
+
"learning_rate": 7.99245104977589e-07,
|
1990 |
+
"loss": 0.0307,
|
1991 |
+
"step": 3020
|
1992 |
+
},
|
1993 |
+
{
|
1994 |
+
"epoch": 19.3,
|
1995 |
+
"learning_rate": 7.945270110875207e-07,
|
1996 |
+
"loss": 0.0332,
|
1997 |
+
"step": 3030
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 19.36,
|
2001 |
+
"learning_rate": 7.898089171974523e-07,
|
2002 |
+
"loss": 0.0334,
|
2003 |
+
"step": 3040
|
2004 |
+
},
|
2005 |
+
{
|
2006 |
+
"epoch": 19.43,
|
2007 |
+
"learning_rate": 7.850908233073838e-07,
|
2008 |
+
"loss": 0.0337,
|
2009 |
+
"step": 3050
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 19.49,
|
2013 |
+
"learning_rate": 7.803727294173154e-07,
|
2014 |
+
"loss": 0.0254,
|
2015 |
+
"step": 3060
|
2016 |
+
},
|
2017 |
+
{
|
2018 |
+
"epoch": 19.55,
|
2019 |
+
"learning_rate": 7.75654635527247e-07,
|
2020 |
+
"loss": 0.0272,
|
2021 |
+
"step": 3070
|
2022 |
+
},
|
2023 |
+
{
|
2024 |
+
"epoch": 19.62,
|
2025 |
+
"learning_rate": 7.709365416371786e-07,
|
2026 |
+
"loss": 0.0256,
|
2027 |
+
"step": 3080
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 19.68,
|
2031 |
+
"learning_rate": 7.662184477471101e-07,
|
2032 |
+
"loss": 0.0334,
|
2033 |
+
"step": 3090
|
2034 |
+
},
|
2035 |
+
{
|
2036 |
+
"epoch": 19.75,
|
2037 |
+
"learning_rate": 7.615003538570417e-07,
|
2038 |
+
"loss": 0.0302,
|
2039 |
+
"step": 3100
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 19.81,
|
2043 |
+
"learning_rate": 7.567822599669734e-07,
|
2044 |
+
"loss": 0.0243,
|
2045 |
+
"step": 3110
|
2046 |
+
},
|
2047 |
+
{
|
2048 |
+
"epoch": 19.87,
|
2049 |
+
"learning_rate": 7.52064166076905e-07,
|
2050 |
+
"loss": 0.0284,
|
2051 |
+
"step": 3120
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 19.94,
|
2055 |
+
"learning_rate": 7.473460721868364e-07,
|
2056 |
+
"loss": 0.0291,
|
2057 |
+
"step": 3130
|
2058 |
+
},
|
2059 |
+
{
|
2060 |
+
"epoch": 20.0,
|
2061 |
+
"learning_rate": 7.42627978296768e-07,
|
2062 |
+
"loss": 0.0251,
|
2063 |
+
"step": 3140
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"epoch": 20.0,
|
2067 |
+
"eval_accuracy": 0.955,
|
2068 |
+
"eval_loss": 0.13997198641300201,
|
2069 |
+
"eval_runtime": 6.1227,
|
2070 |
+
"eval_samples_per_second": 65.33,
|
2071 |
+
"eval_steps_per_second": 8.166,
|
2072 |
+
"step": 3140
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 20.06,
|
2076 |
+
"learning_rate": 7.379098844066996e-07,
|
2077 |
+
"loss": 0.026,
|
2078 |
+
"step": 3150
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 20.13,
|
2082 |
+
"learning_rate": 7.331917905166312e-07,
|
2083 |
+
"loss": 0.0243,
|
2084 |
+
"step": 3160
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 20.19,
|
2088 |
+
"learning_rate": 7.284736966265628e-07,
|
2089 |
+
"loss": 0.0299,
|
2090 |
+
"step": 3170
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 20.25,
|
2094 |
+
"learning_rate": 7.237556027364944e-07,
|
2095 |
+
"loss": 0.0253,
|
2096 |
+
"step": 3180
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 20.32,
|
2100 |
+
"learning_rate": 7.19037508846426e-07,
|
2101 |
+
"loss": 0.0266,
|
2102 |
+
"step": 3190
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 20.38,
|
2106 |
+
"learning_rate": 7.143194149563576e-07,
|
2107 |
+
"loss": 0.0227,
|
2108 |
+
"step": 3200
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 20.45,
|
2112 |
+
"learning_rate": 7.096013210662892e-07,
|
2113 |
+
"loss": 0.0227,
|
2114 |
+
"step": 3210
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 20.51,
|
2118 |
+
"learning_rate": 7.048832271762207e-07,
|
2119 |
+
"loss": 0.0234,
|
2120 |
+
"step": 3220
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 20.57,
|
2124 |
+
"learning_rate": 7.001651332861523e-07,
|
2125 |
+
"loss": 0.0238,
|
2126 |
+
"step": 3230
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 20.64,
|
2130 |
+
"learning_rate": 6.954470393960839e-07,
|
2131 |
+
"loss": 0.0278,
|
2132 |
+
"step": 3240
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 20.7,
|
2136 |
+
"learning_rate": 6.907289455060156e-07,
|
2137 |
+
"loss": 0.0211,
|
2138 |
+
"step": 3250
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 20.76,
|
2142 |
+
"learning_rate": 6.860108516159471e-07,
|
2143 |
+
"loss": 0.0196,
|
2144 |
+
"step": 3260
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 20.83,
|
2148 |
+
"learning_rate": 6.812927577258787e-07,
|
2149 |
+
"loss": 0.019,
|
2150 |
+
"step": 3270
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 20.89,
|
2154 |
+
"learning_rate": 6.765746638358103e-07,
|
2155 |
+
"loss": 0.0213,
|
2156 |
+
"step": 3280
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 20.96,
|
2160 |
+
"learning_rate": 6.718565699457419e-07,
|
2161 |
+
"loss": 0.0216,
|
2162 |
+
"step": 3290
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 21.0,
|
2166 |
+
"eval_accuracy": 0.96,
|
2167 |
+
"eval_loss": 0.13987915217876434,
|
2168 |
+
"eval_runtime": 6.4007,
|
2169 |
+
"eval_samples_per_second": 62.494,
|
2170 |
+
"eval_steps_per_second": 7.812,
|
2171 |
+
"step": 3297
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 21.02,
|
2175 |
+
"learning_rate": 6.671384760556735e-07,
|
2176 |
+
"loss": 0.023,
|
2177 |
+
"step": 3300
|
2178 |
+
},
|
2179 |
+
{
|
2180 |
+
"epoch": 21.08,
|
2181 |
+
"learning_rate": 6.62420382165605e-07,
|
2182 |
+
"loss": 0.022,
|
2183 |
+
"step": 3310
|
2184 |
+
},
|
2185 |
+
{
|
2186 |
+
"epoch": 21.15,
|
2187 |
+
"learning_rate": 6.577022882755366e-07,
|
2188 |
+
"loss": 0.02,
|
2189 |
+
"step": 3320
|
2190 |
+
},
|
2191 |
+
{
|
2192 |
+
"epoch": 21.21,
|
2193 |
+
"learning_rate": 6.529841943854683e-07,
|
2194 |
+
"loss": 0.019,
|
2195 |
+
"step": 3330
|
2196 |
+
},
|
2197 |
+
{
|
2198 |
+
"epoch": 21.27,
|
2199 |
+
"learning_rate": 6.482661004953999e-07,
|
2200 |
+
"loss": 0.0188,
|
2201 |
+
"step": 3340
|
2202 |
+
},
|
2203 |
+
{
|
2204 |
+
"epoch": 21.34,
|
2205 |
+
"learning_rate": 6.435480066053314e-07,
|
2206 |
+
"loss": 0.0186,
|
2207 |
+
"step": 3350
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 21.4,
|
2211 |
+
"learning_rate": 6.38829912715263e-07,
|
2212 |
+
"loss": 0.0182,
|
2213 |
+
"step": 3360
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 21.46,
|
2217 |
+
"learning_rate": 6.341118188251946e-07,
|
2218 |
+
"loss": 0.0182,
|
2219 |
+
"step": 3370
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"epoch": 21.53,
|
2223 |
+
"learning_rate": 6.293937249351262e-07,
|
2224 |
+
"loss": 0.0233,
|
2225 |
+
"step": 3380
|
2226 |
+
},
|
2227 |
+
{
|
2228 |
+
"epoch": 21.59,
|
2229 |
+
"learning_rate": 6.246756310450577e-07,
|
2230 |
+
"loss": 0.0234,
|
2231 |
+
"step": 3390
|
2232 |
+
},
|
2233 |
+
{
|
2234 |
+
"epoch": 21.66,
|
2235 |
+
"learning_rate": 6.199575371549894e-07,
|
2236 |
+
"loss": 0.0213,
|
2237 |
+
"step": 3400
|
2238 |
+
},
|
2239 |
+
{
|
2240 |
+
"epoch": 21.72,
|
2241 |
+
"learning_rate": 6.15239443264921e-07,
|
2242 |
+
"loss": 0.0226,
|
2243 |
+
"step": 3410
|
2244 |
+
},
|
2245 |
+
{
|
2246 |
+
"epoch": 21.78,
|
2247 |
+
"learning_rate": 6.105213493748526e-07,
|
2248 |
+
"loss": 0.016,
|
2249 |
+
"step": 3420
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 21.85,
|
2253 |
+
"learning_rate": 6.058032554847842e-07,
|
2254 |
+
"loss": 0.0177,
|
2255 |
+
"step": 3430
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 21.91,
|
2259 |
+
"learning_rate": 6.010851615947157e-07,
|
2260 |
+
"loss": 0.0183,
|
2261 |
+
"step": 3440
|
2262 |
+
},
|
2263 |
+
{
|
2264 |
+
"epoch": 21.97,
|
2265 |
+
"learning_rate": 5.963670677046473e-07,
|
2266 |
+
"loss": 0.0159,
|
2267 |
+
"step": 3450
|
2268 |
+
},
|
2269 |
+
{
|
2270 |
+
"epoch": 22.0,
|
2271 |
+
"eval_accuracy": 0.96,
|
2272 |
+
"eval_loss": 0.12578421831130981,
|
2273 |
+
"eval_runtime": 6.9215,
|
2274 |
+
"eval_samples_per_second": 57.791,
|
2275 |
+
"eval_steps_per_second": 7.224,
|
2276 |
+
"step": 3454
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 22.04,
|
2280 |
+
"learning_rate": 5.916489738145789e-07,
|
2281 |
+
"loss": 0.0183,
|
2282 |
+
"step": 3460
|
2283 |
+
},
|
2284 |
+
{
|
2285 |
+
"epoch": 22.1,
|
2286 |
+
"learning_rate": 5.869308799245106e-07,
|
2287 |
+
"loss": 0.0182,
|
2288 |
+
"step": 3470
|
2289 |
+
},
|
2290 |
+
{
|
2291 |
+
"epoch": 22.17,
|
2292 |
+
"learning_rate": 5.82212786034442e-07,
|
2293 |
+
"loss": 0.0163,
|
2294 |
+
"step": 3480
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 22.23,
|
2298 |
+
"learning_rate": 5.774946921443736e-07,
|
2299 |
+
"loss": 0.0193,
|
2300 |
+
"step": 3490
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 22.29,
|
2304 |
+
"learning_rate": 5.727765982543052e-07,
|
2305 |
+
"loss": 0.0176,
|
2306 |
+
"step": 3500
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 22.36,
|
2310 |
+
"learning_rate": 5.680585043642368e-07,
|
2311 |
+
"loss": 0.0156,
|
2312 |
+
"step": 3510
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 22.42,
|
2316 |
+
"learning_rate": 5.633404104741683e-07,
|
2317 |
+
"loss": 0.016,
|
2318 |
+
"step": 3520
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 22.48,
|
2322 |
+
"learning_rate": 5.586223165840999e-07,
|
2323 |
+
"loss": 0.015,
|
2324 |
+
"step": 3530
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 22.55,
|
2328 |
+
"learning_rate": 5.539042226940316e-07,
|
2329 |
+
"loss": 0.0166,
|
2330 |
+
"step": 3540
|
2331 |
+
},
|
2332 |
+
{
|
2333 |
+
"epoch": 22.61,
|
2334 |
+
"learning_rate": 5.491861288039632e-07,
|
2335 |
+
"loss": 0.0156,
|
2336 |
+
"step": 3550
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"epoch": 22.68,
|
2340 |
+
"learning_rate": 5.444680349138948e-07,
|
2341 |
+
"loss": 0.0152,
|
2342 |
+
"step": 3560
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 22.74,
|
2346 |
+
"learning_rate": 5.397499410238263e-07,
|
2347 |
+
"loss": 0.0179,
|
2348 |
+
"step": 3570
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 22.8,
|
2352 |
+
"learning_rate": 5.350318471337579e-07,
|
2353 |
+
"loss": 0.0148,
|
2354 |
+
"step": 3580
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 22.87,
|
2358 |
+
"learning_rate": 5.303137532436895e-07,
|
2359 |
+
"loss": 0.0157,
|
2360 |
+
"step": 3590
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 22.93,
|
2364 |
+
"learning_rate": 5.255956593536211e-07,
|
2365 |
+
"loss": 0.016,
|
2366 |
+
"step": 3600
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 22.99,
|
2370 |
+
"learning_rate": 5.208775654635526e-07,
|
2371 |
+
"loss": 0.0137,
|
2372 |
+
"step": 3610
|
2373 |
+
},
|
2374 |
+
{
|
2375 |
+
"epoch": 23.0,
|
2376 |
+
"eval_accuracy": 0.9625,
|
2377 |
+
"eval_loss": 0.12316268682479858,
|
2378 |
+
"eval_runtime": 6.7883,
|
2379 |
+
"eval_samples_per_second": 58.925,
|
2380 |
+
"eval_steps_per_second": 7.366,
|
2381 |
+
"step": 3611
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 23.06,
|
2385 |
+
"learning_rate": 5.161594715734843e-07,
|
2386 |
+
"loss": 0.0141,
|
2387 |
+
"step": 3620
|
2388 |
+
},
|
2389 |
+
{
|
2390 |
+
"epoch": 23.12,
|
2391 |
+
"learning_rate": 5.114413776834159e-07,
|
2392 |
+
"loss": 0.0116,
|
2393 |
+
"step": 3630
|
2394 |
+
},
|
2395 |
+
{
|
2396 |
+
"epoch": 23.18,
|
2397 |
+
"learning_rate": 5.067232837933475e-07,
|
2398 |
+
"loss": 0.0142,
|
2399 |
+
"step": 3640
|
2400 |
+
},
|
2401 |
+
{
|
2402 |
+
"epoch": 23.25,
|
2403 |
+
"learning_rate": 5.02005189903279e-07,
|
2404 |
+
"loss": 0.0126,
|
2405 |
+
"step": 3650
|
2406 |
+
},
|
2407 |
+
{
|
2408 |
+
"epoch": 23.31,
|
2409 |
+
"learning_rate": 4.972870960132106e-07,
|
2410 |
+
"loss": 0.0138,
|
2411 |
+
"step": 3660
|
2412 |
+
},
|
2413 |
+
{
|
2414 |
+
"epoch": 23.38,
|
2415 |
+
"learning_rate": 4.925690021231422e-07,
|
2416 |
+
"loss": 0.0135,
|
2417 |
+
"step": 3670
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 23.44,
|
2421 |
+
"learning_rate": 4.878509082330738e-07,
|
2422 |
+
"loss": 0.0144,
|
2423 |
+
"step": 3680
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 23.5,
|
2427 |
+
"learning_rate": 4.831328143430054e-07,
|
2428 |
+
"loss": 0.0147,
|
2429 |
+
"step": 3690
|
2430 |
+
},
|
2431 |
+
{
|
2432 |
+
"epoch": 23.57,
|
2433 |
+
"learning_rate": 4.78414720452937e-07,
|
2434 |
+
"loss": 0.0131,
|
2435 |
+
"step": 3700
|
2436 |
+
},
|
2437 |
+
{
|
2438 |
+
"epoch": 23.63,
|
2439 |
+
"learning_rate": 4.736966265628686e-07,
|
2440 |
+
"loss": 0.0142,
|
2441 |
+
"step": 3710
|
2442 |
+
},
|
2443 |
+
{
|
2444 |
+
"epoch": 23.69,
|
2445 |
+
"learning_rate": 4.689785326728002e-07,
|
2446 |
+
"loss": 0.0122,
|
2447 |
+
"step": 3720
|
2448 |
+
},
|
2449 |
+
{
|
2450 |
+
"epoch": 23.76,
|
2451 |
+
"learning_rate": 4.6426043878273177e-07,
|
2452 |
+
"loss": 0.0179,
|
2453 |
+
"step": 3730
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 23.82,
|
2457 |
+
"learning_rate": 4.595423448926634e-07,
|
2458 |
+
"loss": 0.0152,
|
2459 |
+
"step": 3740
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 23.89,
|
2463 |
+
"learning_rate": 4.548242510025949e-07,
|
2464 |
+
"loss": 0.015,
|
2465 |
+
"step": 3750
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 23.95,
|
2469 |
+
"learning_rate": 4.501061571125265e-07,
|
2470 |
+
"loss": 0.0135,
|
2471 |
+
"step": 3760
|
2472 |
+
},
|
2473 |
+
{
|
2474 |
+
"epoch": 24.0,
|
2475 |
+
"eval_accuracy": 0.97,
|
2476 |
+
"eval_loss": 0.12535163760185242,
|
2477 |
+
"eval_runtime": 6.4232,
|
2478 |
+
"eval_samples_per_second": 62.274,
|
2479 |
+
"eval_steps_per_second": 7.784,
|
2480 |
+
"step": 3768
|
2481 |
+
}
|
2482 |
+
],
|
2483 |
+
"max_steps": 4710,
|
2484 |
+
"num_train_epochs": 30,
|
2485 |
+
"total_flos": 1.859841088487424e+19,
|
2486 |
+
"trial_name": null,
|
2487 |
+
"trial_params": null
|
2488 |
+
}
|
checkpoint-3768/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9259cd92d8f5e48e51c9df15d7cdc796908ee099294f7d0057b13d585a7eda0d
|
3 |
+
size 3579
|