satwikapaul
commited on
Commit
•
8a58b99
1
Parent(s):
60b4d95
Upload folder using huggingface_hub
Browse files- all_results.json +8 -0
- checkpoint-1920/config.json +82 -0
- checkpoint-1920/optimizer.pt +3 -0
- checkpoint-1920/preprocessor_config.json +22 -0
- checkpoint-1920/pytorch_model.bin +3 -0
- checkpoint-1920/rng_state.pth +3 -0
- checkpoint-1920/scheduler.pt +3 -0
- checkpoint-1920/trainer_state.json +1600 -0
- checkpoint-1920/training_args.bin +3 -0
- checkpoint-480/config.json +82 -0
- checkpoint-480/optimizer.pt +3 -0
- checkpoint-480/preprocessor_config.json +22 -0
- checkpoint-480/pytorch_model.bin +3 -0
- checkpoint-480/rng_state.pth +3 -0
- checkpoint-480/scheduler.pt +3 -0
- checkpoint-480/trainer_state.json +412 -0
- checkpoint-480/training_args.bin +3 -0
- config.json +82 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- train_results.json +8 -0
- trainer_state.json +1627 -0
- training_args.bin +3 -0
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"total_flos": 2.4159665336144486e+18,
|
4 |
+
"train_loss": 0.33013623780929124,
|
5 |
+
"train_runtime": 2443.4946,
|
6 |
+
"train_samples_per_second": 12.756,
|
7 |
+
"train_steps_per_second": 0.798
|
8 |
+
}
|
checkpoint-1920/config.json
ADDED
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
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": "Abstract art",
|
13 |
+
"1": "African Art",
|
14 |
+
"10": "Gothic art",
|
15 |
+
"11": "Graffiti",
|
16 |
+
"12": "Impressionism and Post-Impressionism",
|
17 |
+
"13": "Islamic Art",
|
18 |
+
"14": "Japanese Art",
|
19 |
+
"15": "Late Baroque (Rococo) art",
|
20 |
+
"16": "Latin American muralism",
|
21 |
+
"17": "Medieval art",
|
22 |
+
"18": "Minimalism paintings",
|
23 |
+
"19": "Polynesian Art",
|
24 |
+
"2": "Amazonian Art",
|
25 |
+
"20": "Pop art",
|
26 |
+
"21": "Realism paintings",
|
27 |
+
"22": "Renaissance paintings",
|
28 |
+
"23": "Surrealist paintings",
|
29 |
+
"24": "cubism",
|
30 |
+
"25": "expressionism",
|
31 |
+
"26": "romanticism",
|
32 |
+
"3": "Ancient Egyptian and Nubian Art",
|
33 |
+
"4": "Ancient and Traditional Chinese Art",
|
34 |
+
"5": "Anime art",
|
35 |
+
"6": "Art Nouveau paintings",
|
36 |
+
"7": "Baroque paintings",
|
37 |
+
"8": "Cave Art",
|
38 |
+
"9": "Constructivsm art"
|
39 |
+
},
|
40 |
+
"image_size": 224,
|
41 |
+
"initializer_range": 0.02,
|
42 |
+
"intermediate_size": 3072,
|
43 |
+
"label2id": {
|
44 |
+
"Abstract art": "0",
|
45 |
+
"African Art": "1",
|
46 |
+
"Amazonian Art": "2",
|
47 |
+
"Ancient Egyptian and Nubian Art": "3",
|
48 |
+
"Ancient and Traditional Chinese Art": "4",
|
49 |
+
"Anime art": "5",
|
50 |
+
"Art Nouveau paintings": "6",
|
51 |
+
"Baroque paintings": "7",
|
52 |
+
"Cave Art": "8",
|
53 |
+
"Constructivsm art": "9",
|
54 |
+
"Gothic art": "10",
|
55 |
+
"Graffiti": "11",
|
56 |
+
"Impressionism and Post-Impressionism": "12",
|
57 |
+
"Islamic Art": "13",
|
58 |
+
"Japanese Art": "14",
|
59 |
+
"Late Baroque (Rococo) art": "15",
|
60 |
+
"Latin American muralism": "16",
|
61 |
+
"Medieval art": "17",
|
62 |
+
"Minimalism paintings": "18",
|
63 |
+
"Polynesian Art": "19",
|
64 |
+
"Pop art": "20",
|
65 |
+
"Realism paintings": "21",
|
66 |
+
"Renaissance paintings": "22",
|
67 |
+
"Surrealist paintings": "23",
|
68 |
+
"cubism": "24",
|
69 |
+
"expressionism": "25",
|
70 |
+
"romanticism": "26"
|
71 |
+
},
|
72 |
+
"layer_norm_eps": 1e-12,
|
73 |
+
"model_type": "vit",
|
74 |
+
"num_attention_heads": 12,
|
75 |
+
"num_channels": 3,
|
76 |
+
"num_hidden_layers": 12,
|
77 |
+
"patch_size": 16,
|
78 |
+
"problem_type": "single_label_classification",
|
79 |
+
"qkv_bias": true,
|
80 |
+
"torch_dtype": "float32",
|
81 |
+
"transformers_version": "4.31.0"
|
82 |
+
}
|
checkpoint-1920/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:29b23c267504a7ff3ce0af07e4e64c6b4f45bfcabf82bf34f9c2eb68f078977b
|
3 |
+
size 686672645
|
checkpoint-1920/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": "ViTFeatureExtractor",
|
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-1920/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:517c0564adb06ba50178c4067b5a273bca8cb12013cc83bb5701b10316efe010
|
3 |
+
size 343345581
|
checkpoint-1920/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e44ede8cd8335b79b0464bce31df7de663add08496dad5293a2b1567a875127f
|
3 |
+
size 14575
|
checkpoint-1920/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3eb63d25b55ecdcf4bc54ff77519cc428b5d3efcd500f150845208274d80bc1
|
3 |
+
size 627
|
checkpoint-1920/trainer_state.json
ADDED
@@ -0,0 +1,1600 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.1361786127090454,
|
3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-480",
|
4 |
+
"epoch": 14.76923076923077,
|
5 |
+
"global_step": 1920,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.08,
|
12 |
+
"learning_rate": 0.00019897435897435898,
|
13 |
+
"loss": 3.2519,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.15,
|
18 |
+
"learning_rate": 0.00019794871794871796,
|
19 |
+
"loss": 3.1095,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.23,
|
24 |
+
"learning_rate": 0.00019692307692307696,
|
25 |
+
"loss": 2.9002,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.31,
|
30 |
+
"learning_rate": 0.0001958974358974359,
|
31 |
+
"loss": 2.7917,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.31,
|
36 |
+
"eval_accuracy": 0.35233160621761656,
|
37 |
+
"eval_loss": 2.6724953651428223,
|
38 |
+
"eval_runtime": 20.1054,
|
39 |
+
"eval_samples_per_second": 57.596,
|
40 |
+
"eval_steps_per_second": 7.212,
|
41 |
+
"step": 40
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.38,
|
45 |
+
"learning_rate": 0.00019487179487179487,
|
46 |
+
"loss": 2.6291,
|
47 |
+
"step": 50
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 0.46,
|
51 |
+
"learning_rate": 0.00019384615384615385,
|
52 |
+
"loss": 2.492,
|
53 |
+
"step": 60
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.54,
|
57 |
+
"learning_rate": 0.00019282051282051282,
|
58 |
+
"loss": 2.4302,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.62,
|
63 |
+
"learning_rate": 0.00019179487179487182,
|
64 |
+
"loss": 2.3207,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.62,
|
69 |
+
"eval_accuracy": 0.4481865284974093,
|
70 |
+
"eval_loss": 2.263643980026245,
|
71 |
+
"eval_runtime": 20.6875,
|
72 |
+
"eval_samples_per_second": 55.976,
|
73 |
+
"eval_steps_per_second": 7.009,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.69,
|
78 |
+
"learning_rate": 0.0001907692307692308,
|
79 |
+
"loss": 2.1778,
|
80 |
+
"step": 90
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.77,
|
84 |
+
"learning_rate": 0.00018974358974358974,
|
85 |
+
"loss": 2.1215,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.85,
|
90 |
+
"learning_rate": 0.0001887179487179487,
|
91 |
+
"loss": 2.0333,
|
92 |
+
"step": 110
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.92,
|
96 |
+
"learning_rate": 0.0001876923076923077,
|
97 |
+
"loss": 1.9258,
|
98 |
+
"step": 120
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.92,
|
102 |
+
"eval_accuracy": 0.5535405872193437,
|
103 |
+
"eval_loss": 1.8725202083587646,
|
104 |
+
"eval_runtime": 19.974,
|
105 |
+
"eval_samples_per_second": 57.975,
|
106 |
+
"eval_steps_per_second": 7.259,
|
107 |
+
"step": 120
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.0,
|
111 |
+
"learning_rate": 0.0001866666666666667,
|
112 |
+
"loss": 1.981,
|
113 |
+
"step": 130
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.08,
|
117 |
+
"learning_rate": 0.00018564102564102566,
|
118 |
+
"loss": 1.5576,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.15,
|
123 |
+
"learning_rate": 0.00018461538461538463,
|
124 |
+
"loss": 1.4327,
|
125 |
+
"step": 150
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.23,
|
129 |
+
"learning_rate": 0.00018358974358974358,
|
130 |
+
"loss": 1.4339,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.23,
|
135 |
+
"eval_accuracy": 0.6260794473229706,
|
136 |
+
"eval_loss": 1.5738734006881714,
|
137 |
+
"eval_runtime": 20.2011,
|
138 |
+
"eval_samples_per_second": 57.323,
|
139 |
+
"eval_steps_per_second": 7.178,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.31,
|
144 |
+
"learning_rate": 0.00018256410256410258,
|
145 |
+
"loss": 1.2945,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.38,
|
150 |
+
"learning_rate": 0.00018153846153846155,
|
151 |
+
"loss": 1.3482,
|
152 |
+
"step": 180
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.46,
|
156 |
+
"learning_rate": 0.00018051282051282052,
|
157 |
+
"loss": 1.2537,
|
158 |
+
"step": 190
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.54,
|
162 |
+
"learning_rate": 0.0001794871794871795,
|
163 |
+
"loss": 1.3328,
|
164 |
+
"step": 200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.54,
|
168 |
+
"eval_accuracy": 0.6226252158894646,
|
169 |
+
"eval_loss": 1.484718918800354,
|
170 |
+
"eval_runtime": 20.1617,
|
171 |
+
"eval_samples_per_second": 57.436,
|
172 |
+
"eval_steps_per_second": 7.192,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.62,
|
177 |
+
"learning_rate": 0.00017846153846153847,
|
178 |
+
"loss": 1.1274,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.69,
|
183 |
+
"learning_rate": 0.00017743589743589744,
|
184 |
+
"loss": 1.169,
|
185 |
+
"step": 220
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.77,
|
189 |
+
"learning_rate": 0.00017641025641025642,
|
190 |
+
"loss": 1.1404,
|
191 |
+
"step": 230
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.85,
|
195 |
+
"learning_rate": 0.0001753846153846154,
|
196 |
+
"loss": 1.0914,
|
197 |
+
"step": 240
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.85,
|
201 |
+
"eval_accuracy": 0.6442141623488774,
|
202 |
+
"eval_loss": 1.3511847257614136,
|
203 |
+
"eval_runtime": 19.8926,
|
204 |
+
"eval_samples_per_second": 58.213,
|
205 |
+
"eval_steps_per_second": 7.289,
|
206 |
+
"step": 240
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.92,
|
210 |
+
"learning_rate": 0.00017435897435897436,
|
211 |
+
"loss": 1.1632,
|
212 |
+
"step": 250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.0,
|
216 |
+
"learning_rate": 0.00017333333333333334,
|
217 |
+
"loss": 1.029,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.08,
|
222 |
+
"learning_rate": 0.00017230769230769234,
|
223 |
+
"loss": 0.7509,
|
224 |
+
"step": 270
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.15,
|
228 |
+
"learning_rate": 0.00017128205128205128,
|
229 |
+
"loss": 0.6594,
|
230 |
+
"step": 280
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.15,
|
234 |
+
"eval_accuracy": 0.6450777202072538,
|
235 |
+
"eval_loss": 1.2636480331420898,
|
236 |
+
"eval_runtime": 20.434,
|
237 |
+
"eval_samples_per_second": 56.67,
|
238 |
+
"eval_steps_per_second": 7.096,
|
239 |
+
"step": 280
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 2.23,
|
243 |
+
"learning_rate": 0.00017025641025641026,
|
244 |
+
"loss": 0.557,
|
245 |
+
"step": 290
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 2.31,
|
249 |
+
"learning_rate": 0.00016923076923076923,
|
250 |
+
"loss": 0.5061,
|
251 |
+
"step": 300
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 2.38,
|
255 |
+
"learning_rate": 0.00016820512820512823,
|
256 |
+
"loss": 0.53,
|
257 |
+
"step": 310
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 2.46,
|
261 |
+
"learning_rate": 0.0001671794871794872,
|
262 |
+
"loss": 0.5651,
|
263 |
+
"step": 320
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 2.46,
|
267 |
+
"eval_accuracy": 0.6649395509499136,
|
268 |
+
"eval_loss": 1.2330708503723145,
|
269 |
+
"eval_runtime": 20.6893,
|
270 |
+
"eval_samples_per_second": 55.971,
|
271 |
+
"eval_steps_per_second": 7.008,
|
272 |
+
"step": 320
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.54,
|
276 |
+
"learning_rate": 0.00016615384615384617,
|
277 |
+
"loss": 0.5417,
|
278 |
+
"step": 330
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.62,
|
282 |
+
"learning_rate": 0.00016512820512820512,
|
283 |
+
"loss": 0.5584,
|
284 |
+
"step": 340
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.69,
|
288 |
+
"learning_rate": 0.0001641025641025641,
|
289 |
+
"loss": 0.6261,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.77,
|
294 |
+
"learning_rate": 0.0001630769230769231,
|
295 |
+
"loss": 0.6847,
|
296 |
+
"step": 360
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.77,
|
300 |
+
"eval_accuracy": 0.6381692573402418,
|
301 |
+
"eval_loss": 1.3150428533554077,
|
302 |
+
"eval_runtime": 20.8049,
|
303 |
+
"eval_samples_per_second": 55.66,
|
304 |
+
"eval_steps_per_second": 6.97,
|
305 |
+
"step": 360
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 2.85,
|
309 |
+
"learning_rate": 0.00016205128205128207,
|
310 |
+
"loss": 0.6079,
|
311 |
+
"step": 370
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 2.92,
|
315 |
+
"learning_rate": 0.00016102564102564104,
|
316 |
+
"loss": 0.6087,
|
317 |
+
"step": 380
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 3.0,
|
321 |
+
"learning_rate": 0.00016,
|
322 |
+
"loss": 0.6049,
|
323 |
+
"step": 390
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 3.08,
|
327 |
+
"learning_rate": 0.00015897435897435896,
|
328 |
+
"loss": 0.2965,
|
329 |
+
"step": 400
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 3.08,
|
333 |
+
"eval_accuracy": 0.6735751295336787,
|
334 |
+
"eval_loss": 1.1951243877410889,
|
335 |
+
"eval_runtime": 20.3022,
|
336 |
+
"eval_samples_per_second": 57.038,
|
337 |
+
"eval_steps_per_second": 7.142,
|
338 |
+
"step": 400
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 3.15,
|
342 |
+
"learning_rate": 0.00015794871794871796,
|
343 |
+
"loss": 0.3409,
|
344 |
+
"step": 410
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 3.23,
|
348 |
+
"learning_rate": 0.00015692307692307693,
|
349 |
+
"loss": 0.2707,
|
350 |
+
"step": 420
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 3.31,
|
354 |
+
"learning_rate": 0.0001558974358974359,
|
355 |
+
"loss": 0.2439,
|
356 |
+
"step": 430
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 3.38,
|
360 |
+
"learning_rate": 0.00015487179487179488,
|
361 |
+
"loss": 0.3052,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 3.38,
|
366 |
+
"eval_accuracy": 0.5915371329879102,
|
367 |
+
"eval_loss": 1.4183249473571777,
|
368 |
+
"eval_runtime": 19.9664,
|
369 |
+
"eval_samples_per_second": 57.997,
|
370 |
+
"eval_steps_per_second": 7.262,
|
371 |
+
"step": 440
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 3.46,
|
375 |
+
"learning_rate": 0.00015384615384615385,
|
376 |
+
"loss": 0.2819,
|
377 |
+
"step": 450
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 3.54,
|
381 |
+
"learning_rate": 0.00015282051282051282,
|
382 |
+
"loss": 0.2755,
|
383 |
+
"step": 460
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 3.62,
|
387 |
+
"learning_rate": 0.0001517948717948718,
|
388 |
+
"loss": 0.2574,
|
389 |
+
"step": 470
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 3.69,
|
393 |
+
"learning_rate": 0.00015076923076923077,
|
394 |
+
"loss": 0.2592,
|
395 |
+
"step": 480
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 3.69,
|
399 |
+
"eval_accuracy": 0.697754749568221,
|
400 |
+
"eval_loss": 1.1361786127090454,
|
401 |
+
"eval_runtime": 19.9742,
|
402 |
+
"eval_samples_per_second": 57.975,
|
403 |
+
"eval_steps_per_second": 7.259,
|
404 |
+
"step": 480
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 3.77,
|
408 |
+
"learning_rate": 0.00014974358974358974,
|
409 |
+
"loss": 0.2762,
|
410 |
+
"step": 490
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 3.85,
|
414 |
+
"learning_rate": 0.00014871794871794872,
|
415 |
+
"loss": 0.2489,
|
416 |
+
"step": 500
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 3.92,
|
420 |
+
"learning_rate": 0.00014769230769230772,
|
421 |
+
"loss": 0.2119,
|
422 |
+
"step": 510
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 4.0,
|
426 |
+
"learning_rate": 0.00014666666666666666,
|
427 |
+
"loss": 0.3058,
|
428 |
+
"step": 520
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 4.0,
|
432 |
+
"eval_accuracy": 0.6303972366148531,
|
433 |
+
"eval_loss": 1.4736298322677612,
|
434 |
+
"eval_runtime": 20.1619,
|
435 |
+
"eval_samples_per_second": 57.435,
|
436 |
+
"eval_steps_per_second": 7.192,
|
437 |
+
"step": 520
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 4.08,
|
441 |
+
"learning_rate": 0.00014564102564102564,
|
442 |
+
"loss": 0.2272,
|
443 |
+
"step": 530
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 4.15,
|
447 |
+
"learning_rate": 0.0001446153846153846,
|
448 |
+
"loss": 0.1024,
|
449 |
+
"step": 540
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 4.23,
|
453 |
+
"learning_rate": 0.0001435897435897436,
|
454 |
+
"loss": 0.1202,
|
455 |
+
"step": 550
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 4.31,
|
459 |
+
"learning_rate": 0.00014256410256410258,
|
460 |
+
"loss": 0.1412,
|
461 |
+
"step": 560
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 4.31,
|
465 |
+
"eval_accuracy": 0.6528497409326425,
|
466 |
+
"eval_loss": 1.2578930854797363,
|
467 |
+
"eval_runtime": 20.8549,
|
468 |
+
"eval_samples_per_second": 55.527,
|
469 |
+
"eval_steps_per_second": 6.953,
|
470 |
+
"step": 560
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 4.38,
|
474 |
+
"learning_rate": 0.00014153846153846156,
|
475 |
+
"loss": 0.1405,
|
476 |
+
"step": 570
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 4.46,
|
480 |
+
"learning_rate": 0.0001405128205128205,
|
481 |
+
"loss": 0.1154,
|
482 |
+
"step": 580
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 4.54,
|
486 |
+
"learning_rate": 0.00013948717948717947,
|
487 |
+
"loss": 0.1481,
|
488 |
+
"step": 590
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 4.62,
|
492 |
+
"learning_rate": 0.00013846153846153847,
|
493 |
+
"loss": 0.1141,
|
494 |
+
"step": 600
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 4.62,
|
498 |
+
"eval_accuracy": 0.6675302245250432,
|
499 |
+
"eval_loss": 1.2793298959732056,
|
500 |
+
"eval_runtime": 20.7805,
|
501 |
+
"eval_samples_per_second": 55.725,
|
502 |
+
"eval_steps_per_second": 6.978,
|
503 |
+
"step": 600
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 4.69,
|
507 |
+
"learning_rate": 0.00013743589743589745,
|
508 |
+
"loss": 0.1616,
|
509 |
+
"step": 610
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 4.77,
|
513 |
+
"learning_rate": 0.00013641025641025642,
|
514 |
+
"loss": 0.1792,
|
515 |
+
"step": 620
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 4.85,
|
519 |
+
"learning_rate": 0.0001353846153846154,
|
520 |
+
"loss": 0.0885,
|
521 |
+
"step": 630
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 4.92,
|
525 |
+
"learning_rate": 0.00013435897435897437,
|
526 |
+
"loss": 0.1553,
|
527 |
+
"step": 640
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 4.92,
|
531 |
+
"eval_accuracy": 0.6588946459412781,
|
532 |
+
"eval_loss": 1.3182828426361084,
|
533 |
+
"eval_runtime": 20.1017,
|
534 |
+
"eval_samples_per_second": 57.607,
|
535 |
+
"eval_steps_per_second": 7.213,
|
536 |
+
"step": 640
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 5.0,
|
540 |
+
"learning_rate": 0.00013333333333333334,
|
541 |
+
"loss": 0.1181,
|
542 |
+
"step": 650
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 5.08,
|
546 |
+
"learning_rate": 0.0001323076923076923,
|
547 |
+
"loss": 0.1392,
|
548 |
+
"step": 660
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 5.15,
|
552 |
+
"learning_rate": 0.00013128205128205129,
|
553 |
+
"loss": 0.0673,
|
554 |
+
"step": 670
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 5.23,
|
558 |
+
"learning_rate": 0.00013025641025641026,
|
559 |
+
"loss": 0.059,
|
560 |
+
"step": 680
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 5.23,
|
564 |
+
"eval_accuracy": 0.6882556131260794,
|
565 |
+
"eval_loss": 1.2099286317825317,
|
566 |
+
"eval_runtime": 21.3732,
|
567 |
+
"eval_samples_per_second": 54.18,
|
568 |
+
"eval_steps_per_second": 6.784,
|
569 |
+
"step": 680
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 5.31,
|
573 |
+
"learning_rate": 0.00012923076923076923,
|
574 |
+
"loss": 0.0786,
|
575 |
+
"step": 690
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 5.38,
|
579 |
+
"learning_rate": 0.00012820512820512823,
|
580 |
+
"loss": 0.0537,
|
581 |
+
"step": 700
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 5.46,
|
585 |
+
"learning_rate": 0.00012717948717948718,
|
586 |
+
"loss": 0.0639,
|
587 |
+
"step": 710
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 5.54,
|
591 |
+
"learning_rate": 0.00012615384615384615,
|
592 |
+
"loss": 0.0914,
|
593 |
+
"step": 720
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 5.54,
|
597 |
+
"eval_accuracy": 0.6718480138169257,
|
598 |
+
"eval_loss": 1.298492193222046,
|
599 |
+
"eval_runtime": 20.1222,
|
600 |
+
"eval_samples_per_second": 57.548,
|
601 |
+
"eval_steps_per_second": 7.206,
|
602 |
+
"step": 720
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 5.62,
|
606 |
+
"learning_rate": 0.00012512820512820512,
|
607 |
+
"loss": 0.1004,
|
608 |
+
"step": 730
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 5.69,
|
612 |
+
"learning_rate": 0.00012410256410256412,
|
613 |
+
"loss": 0.0592,
|
614 |
+
"step": 740
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 5.77,
|
618 |
+
"learning_rate": 0.0001230769230769231,
|
619 |
+
"loss": 0.0688,
|
620 |
+
"step": 750
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 5.85,
|
624 |
+
"learning_rate": 0.00012205128205128207,
|
625 |
+
"loss": 0.0546,
|
626 |
+
"step": 760
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 5.85,
|
630 |
+
"eval_accuracy": 0.690846286701209,
|
631 |
+
"eval_loss": 1.282209873199463,
|
632 |
+
"eval_runtime": 20.42,
|
633 |
+
"eval_samples_per_second": 56.709,
|
634 |
+
"eval_steps_per_second": 7.101,
|
635 |
+
"step": 760
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 5.92,
|
639 |
+
"learning_rate": 0.00012102564102564103,
|
640 |
+
"loss": 0.0285,
|
641 |
+
"step": 770
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 6.0,
|
645 |
+
"learning_rate": 0.00012,
|
646 |
+
"loss": 0.0318,
|
647 |
+
"step": 780
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 6.08,
|
651 |
+
"learning_rate": 0.00011897435897435898,
|
652 |
+
"loss": 0.0249,
|
653 |
+
"step": 790
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 6.15,
|
657 |
+
"learning_rate": 0.00011794871794871796,
|
658 |
+
"loss": 0.0306,
|
659 |
+
"step": 800
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 6.15,
|
663 |
+
"eval_accuracy": 0.6735751295336787,
|
664 |
+
"eval_loss": 1.3418058156967163,
|
665 |
+
"eval_runtime": 20.9104,
|
666 |
+
"eval_samples_per_second": 55.379,
|
667 |
+
"eval_steps_per_second": 6.934,
|
668 |
+
"step": 800
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 6.23,
|
672 |
+
"learning_rate": 0.00011692307692307694,
|
673 |
+
"loss": 0.0689,
|
674 |
+
"step": 810
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 6.31,
|
678 |
+
"learning_rate": 0.00011589743589743591,
|
679 |
+
"loss": 0.0617,
|
680 |
+
"step": 820
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 6.38,
|
684 |
+
"learning_rate": 0.00011487179487179487,
|
685 |
+
"loss": 0.0717,
|
686 |
+
"step": 830
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 6.46,
|
690 |
+
"learning_rate": 0.00011384615384615384,
|
691 |
+
"loss": 0.0207,
|
692 |
+
"step": 840
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 6.46,
|
696 |
+
"eval_accuracy": 0.697754749568221,
|
697 |
+
"eval_loss": 1.3155086040496826,
|
698 |
+
"eval_runtime": 20.9506,
|
699 |
+
"eval_samples_per_second": 55.273,
|
700 |
+
"eval_steps_per_second": 6.921,
|
701 |
+
"step": 840
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 6.54,
|
705 |
+
"learning_rate": 0.00011282051282051283,
|
706 |
+
"loss": 0.0192,
|
707 |
+
"step": 850
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 6.62,
|
711 |
+
"learning_rate": 0.0001117948717948718,
|
712 |
+
"loss": 0.0448,
|
713 |
+
"step": 860
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 6.69,
|
717 |
+
"learning_rate": 0.00011076923076923077,
|
718 |
+
"loss": 0.0213,
|
719 |
+
"step": 870
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 6.77,
|
723 |
+
"learning_rate": 0.00010974358974358976,
|
724 |
+
"loss": 0.0505,
|
725 |
+
"step": 880
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 6.77,
|
729 |
+
"eval_accuracy": 0.6614853195164075,
|
730 |
+
"eval_loss": 1.4209389686584473,
|
731 |
+
"eval_runtime": 20.0879,
|
732 |
+
"eval_samples_per_second": 57.647,
|
733 |
+
"eval_steps_per_second": 7.218,
|
734 |
+
"step": 880
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 6.85,
|
738 |
+
"learning_rate": 0.00010871794871794872,
|
739 |
+
"loss": 0.0356,
|
740 |
+
"step": 890
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 6.92,
|
744 |
+
"learning_rate": 0.0001076923076923077,
|
745 |
+
"loss": 0.022,
|
746 |
+
"step": 900
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 7.0,
|
750 |
+
"learning_rate": 0.00010666666666666667,
|
751 |
+
"loss": 0.102,
|
752 |
+
"step": 910
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 7.08,
|
756 |
+
"learning_rate": 0.00010564102564102565,
|
757 |
+
"loss": 0.016,
|
758 |
+
"step": 920
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 7.08,
|
762 |
+
"eval_accuracy": 0.697754749568221,
|
763 |
+
"eval_loss": 1.3212494850158691,
|
764 |
+
"eval_runtime": 20.3129,
|
765 |
+
"eval_samples_per_second": 57.008,
|
766 |
+
"eval_steps_per_second": 7.138,
|
767 |
+
"step": 920
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 7.15,
|
771 |
+
"learning_rate": 0.00010461538461538463,
|
772 |
+
"loss": 0.038,
|
773 |
+
"step": 930
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 7.23,
|
777 |
+
"learning_rate": 0.0001035897435897436,
|
778 |
+
"loss": 0.0161,
|
779 |
+
"step": 940
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 7.31,
|
783 |
+
"learning_rate": 0.00010256410256410256,
|
784 |
+
"loss": 0.0266,
|
785 |
+
"step": 950
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 7.38,
|
789 |
+
"learning_rate": 0.00010153846153846153,
|
790 |
+
"loss": 0.0268,
|
791 |
+
"step": 960
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 7.38,
|
795 |
+
"eval_accuracy": 0.7081174438687392,
|
796 |
+
"eval_loss": 1.2981479167938232,
|
797 |
+
"eval_runtime": 20.6143,
|
798 |
+
"eval_samples_per_second": 56.175,
|
799 |
+
"eval_steps_per_second": 7.034,
|
800 |
+
"step": 960
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 7.46,
|
804 |
+
"learning_rate": 0.00010051282051282052,
|
805 |
+
"loss": 0.0235,
|
806 |
+
"step": 970
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 7.54,
|
810 |
+
"learning_rate": 9.948717948717949e-05,
|
811 |
+
"loss": 0.0126,
|
812 |
+
"step": 980
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 7.62,
|
816 |
+
"learning_rate": 9.846153846153848e-05,
|
817 |
+
"loss": 0.0143,
|
818 |
+
"step": 990
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 7.69,
|
822 |
+
"learning_rate": 9.743589743589744e-05,
|
823 |
+
"loss": 0.0299,
|
824 |
+
"step": 1000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 7.69,
|
828 |
+
"eval_accuracy": 0.6925734024179621,
|
829 |
+
"eval_loss": 1.3568987846374512,
|
830 |
+
"eval_runtime": 20.4554,
|
831 |
+
"eval_samples_per_second": 56.611,
|
832 |
+
"eval_steps_per_second": 7.089,
|
833 |
+
"step": 1000
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 7.77,
|
837 |
+
"learning_rate": 9.641025641025641e-05,
|
838 |
+
"loss": 0.0122,
|
839 |
+
"step": 1010
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 7.85,
|
843 |
+
"learning_rate": 9.53846153846154e-05,
|
844 |
+
"loss": 0.0203,
|
845 |
+
"step": 1020
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 7.92,
|
849 |
+
"learning_rate": 9.435897435897436e-05,
|
850 |
+
"loss": 0.0105,
|
851 |
+
"step": 1030
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 8.0,
|
855 |
+
"learning_rate": 9.333333333333334e-05,
|
856 |
+
"loss": 0.0395,
|
857 |
+
"step": 1040
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 8.0,
|
861 |
+
"eval_accuracy": 0.697754749568221,
|
862 |
+
"eval_loss": 1.315879225730896,
|
863 |
+
"eval_runtime": 20.1743,
|
864 |
+
"eval_samples_per_second": 57.4,
|
865 |
+
"eval_steps_per_second": 7.187,
|
866 |
+
"step": 1040
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 8.08,
|
870 |
+
"learning_rate": 9.230769230769232e-05,
|
871 |
+
"loss": 0.0102,
|
872 |
+
"step": 1050
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 8.15,
|
876 |
+
"learning_rate": 9.128205128205129e-05,
|
877 |
+
"loss": 0.0103,
|
878 |
+
"step": 1060
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 8.23,
|
882 |
+
"learning_rate": 9.025641025641026e-05,
|
883 |
+
"loss": 0.0106,
|
884 |
+
"step": 1070
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 8.31,
|
888 |
+
"learning_rate": 8.923076923076924e-05,
|
889 |
+
"loss": 0.0106,
|
890 |
+
"step": 1080
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 8.31,
|
894 |
+
"eval_accuracy": 0.7046632124352331,
|
895 |
+
"eval_loss": 1.3094946146011353,
|
896 |
+
"eval_runtime": 20.1865,
|
897 |
+
"eval_samples_per_second": 57.365,
|
898 |
+
"eval_steps_per_second": 7.183,
|
899 |
+
"step": 1080
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 8.38,
|
903 |
+
"learning_rate": 8.820512820512821e-05,
|
904 |
+
"loss": 0.0364,
|
905 |
+
"step": 1090
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 8.46,
|
909 |
+
"learning_rate": 8.717948717948718e-05,
|
910 |
+
"loss": 0.0098,
|
911 |
+
"step": 1100
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 8.54,
|
915 |
+
"learning_rate": 8.615384615384617e-05,
|
916 |
+
"loss": 0.0462,
|
917 |
+
"step": 1110
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 8.62,
|
921 |
+
"learning_rate": 8.512820512820513e-05,
|
922 |
+
"loss": 0.0093,
|
923 |
+
"step": 1120
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 8.62,
|
927 |
+
"eval_accuracy": 0.7124352331606217,
|
928 |
+
"eval_loss": 1.3362736701965332,
|
929 |
+
"eval_runtime": 20.3723,
|
930 |
+
"eval_samples_per_second": 56.842,
|
931 |
+
"eval_steps_per_second": 7.117,
|
932 |
+
"step": 1120
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 8.69,
|
936 |
+
"learning_rate": 8.410256410256411e-05,
|
937 |
+
"loss": 0.0097,
|
938 |
+
"step": 1130
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 8.77,
|
942 |
+
"learning_rate": 8.307692307692309e-05,
|
943 |
+
"loss": 0.0087,
|
944 |
+
"step": 1140
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 8.85,
|
948 |
+
"learning_rate": 8.205128205128205e-05,
|
949 |
+
"loss": 0.0087,
|
950 |
+
"step": 1150
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 8.92,
|
954 |
+
"learning_rate": 8.102564102564103e-05,
|
955 |
+
"loss": 0.0364,
|
956 |
+
"step": 1160
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 8.92,
|
960 |
+
"eval_accuracy": 0.7089810017271158,
|
961 |
+
"eval_loss": 1.340015172958374,
|
962 |
+
"eval_runtime": 21.051,
|
963 |
+
"eval_samples_per_second": 55.009,
|
964 |
+
"eval_steps_per_second": 6.888,
|
965 |
+
"step": 1160
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 9.0,
|
969 |
+
"learning_rate": 8e-05,
|
970 |
+
"loss": 0.0087,
|
971 |
+
"step": 1170
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 9.08,
|
975 |
+
"learning_rate": 7.897435897435898e-05,
|
976 |
+
"loss": 0.0101,
|
977 |
+
"step": 1180
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 9.15,
|
981 |
+
"learning_rate": 7.794871794871795e-05,
|
982 |
+
"loss": 0.0174,
|
983 |
+
"step": 1190
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 9.23,
|
987 |
+
"learning_rate": 7.692307692307693e-05,
|
988 |
+
"loss": 0.0324,
|
989 |
+
"step": 1200
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 9.23,
|
993 |
+
"eval_accuracy": 0.7098445595854922,
|
994 |
+
"eval_loss": 1.3313075304031372,
|
995 |
+
"eval_runtime": 21.981,
|
996 |
+
"eval_samples_per_second": 52.682,
|
997 |
+
"eval_steps_per_second": 6.597,
|
998 |
+
"step": 1200
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 9.31,
|
1002 |
+
"learning_rate": 7.58974358974359e-05,
|
1003 |
+
"loss": 0.0076,
|
1004 |
+
"step": 1210
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 9.38,
|
1008 |
+
"learning_rate": 7.487179487179487e-05,
|
1009 |
+
"loss": 0.0287,
|
1010 |
+
"step": 1220
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 9.46,
|
1014 |
+
"learning_rate": 7.384615384615386e-05,
|
1015 |
+
"loss": 0.0083,
|
1016 |
+
"step": 1230
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 9.54,
|
1020 |
+
"learning_rate": 7.282051282051282e-05,
|
1021 |
+
"loss": 0.0076,
|
1022 |
+
"step": 1240
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 9.54,
|
1026 |
+
"eval_accuracy": 0.7072538860103627,
|
1027 |
+
"eval_loss": 1.3641475439071655,
|
1028 |
+
"eval_runtime": 20.2849,
|
1029 |
+
"eval_samples_per_second": 57.087,
|
1030 |
+
"eval_steps_per_second": 7.148,
|
1031 |
+
"step": 1240
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 9.62,
|
1035 |
+
"learning_rate": 7.17948717948718e-05,
|
1036 |
+
"loss": 0.0076,
|
1037 |
+
"step": 1250
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 9.69,
|
1041 |
+
"learning_rate": 7.076923076923078e-05,
|
1042 |
+
"loss": 0.0075,
|
1043 |
+
"step": 1260
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 9.77,
|
1047 |
+
"learning_rate": 6.974358974358974e-05,
|
1048 |
+
"loss": 0.0078,
|
1049 |
+
"step": 1270
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 9.85,
|
1053 |
+
"learning_rate": 6.871794871794872e-05,
|
1054 |
+
"loss": 0.0076,
|
1055 |
+
"step": 1280
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 9.85,
|
1059 |
+
"eval_accuracy": 0.7098445595854922,
|
1060 |
+
"eval_loss": 1.357639193534851,
|
1061 |
+
"eval_runtime": 20.3563,
|
1062 |
+
"eval_samples_per_second": 56.887,
|
1063 |
+
"eval_steps_per_second": 7.123,
|
1064 |
+
"step": 1280
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 9.92,
|
1068 |
+
"learning_rate": 6.76923076923077e-05,
|
1069 |
+
"loss": 0.007,
|
1070 |
+
"step": 1290
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 10.0,
|
1074 |
+
"learning_rate": 6.666666666666667e-05,
|
1075 |
+
"loss": 0.0075,
|
1076 |
+
"step": 1300
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 10.08,
|
1080 |
+
"learning_rate": 6.564102564102564e-05,
|
1081 |
+
"loss": 0.0126,
|
1082 |
+
"step": 1310
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 10.15,
|
1086 |
+
"learning_rate": 6.461538461538462e-05,
|
1087 |
+
"loss": 0.021,
|
1088 |
+
"step": 1320
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 10.15,
|
1092 |
+
"eval_accuracy": 0.7124352331606217,
|
1093 |
+
"eval_loss": 1.3460208177566528,
|
1094 |
+
"eval_runtime": 20.5844,
|
1095 |
+
"eval_samples_per_second": 56.256,
|
1096 |
+
"eval_steps_per_second": 7.044,
|
1097 |
+
"step": 1320
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 10.23,
|
1101 |
+
"learning_rate": 6.358974358974359e-05,
|
1102 |
+
"loss": 0.0068,
|
1103 |
+
"step": 1330
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 10.31,
|
1107 |
+
"learning_rate": 6.256410256410256e-05,
|
1108 |
+
"loss": 0.0068,
|
1109 |
+
"step": 1340
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 10.38,
|
1113 |
+
"learning_rate": 6.153846153846155e-05,
|
1114 |
+
"loss": 0.0066,
|
1115 |
+
"step": 1350
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 10.46,
|
1119 |
+
"learning_rate": 6.0512820512820515e-05,
|
1120 |
+
"loss": 0.0064,
|
1121 |
+
"step": 1360
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 10.46,
|
1125 |
+
"eval_accuracy": 0.7184801381692574,
|
1126 |
+
"eval_loss": 1.3521218299865723,
|
1127 |
+
"eval_runtime": 21.5706,
|
1128 |
+
"eval_samples_per_second": 53.684,
|
1129 |
+
"eval_steps_per_second": 6.722,
|
1130 |
+
"step": 1360
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 10.54,
|
1134 |
+
"learning_rate": 5.948717948717949e-05,
|
1135 |
+
"loss": 0.0061,
|
1136 |
+
"step": 1370
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 10.62,
|
1140 |
+
"learning_rate": 5.846153846153847e-05,
|
1141 |
+
"loss": 0.0062,
|
1142 |
+
"step": 1380
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 10.69,
|
1146 |
+
"learning_rate": 5.7435897435897434e-05,
|
1147 |
+
"loss": 0.0364,
|
1148 |
+
"step": 1390
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 10.77,
|
1152 |
+
"learning_rate": 5.6410256410256414e-05,
|
1153 |
+
"loss": 0.0069,
|
1154 |
+
"step": 1400
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 10.77,
|
1158 |
+
"eval_accuracy": 0.7141623488773747,
|
1159 |
+
"eval_loss": 1.3537815809249878,
|
1160 |
+
"eval_runtime": 20.0789,
|
1161 |
+
"eval_samples_per_second": 57.672,
|
1162 |
+
"eval_steps_per_second": 7.221,
|
1163 |
+
"step": 1400
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 10.85,
|
1167 |
+
"learning_rate": 5.538461538461539e-05,
|
1168 |
+
"loss": 0.0069,
|
1169 |
+
"step": 1410
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 10.92,
|
1173 |
+
"learning_rate": 5.435897435897436e-05,
|
1174 |
+
"loss": 0.0068,
|
1175 |
+
"step": 1420
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 11.0,
|
1179 |
+
"learning_rate": 5.333333333333333e-05,
|
1180 |
+
"loss": 0.0063,
|
1181 |
+
"step": 1430
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 11.08,
|
1185 |
+
"learning_rate": 5.230769230769231e-05,
|
1186 |
+
"loss": 0.0101,
|
1187 |
+
"step": 1440
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 11.08,
|
1191 |
+
"eval_accuracy": 0.7150259067357513,
|
1192 |
+
"eval_loss": 1.3637244701385498,
|
1193 |
+
"eval_runtime": 20.418,
|
1194 |
+
"eval_samples_per_second": 56.715,
|
1195 |
+
"eval_steps_per_second": 7.102,
|
1196 |
+
"step": 1440
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 11.15,
|
1200 |
+
"learning_rate": 5.128205128205128e-05,
|
1201 |
+
"loss": 0.0094,
|
1202 |
+
"step": 1450
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 11.23,
|
1206 |
+
"learning_rate": 5.025641025641026e-05,
|
1207 |
+
"loss": 0.0152,
|
1208 |
+
"step": 1460
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 11.31,
|
1212 |
+
"learning_rate": 4.923076923076924e-05,
|
1213 |
+
"loss": 0.006,
|
1214 |
+
"step": 1470
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 11.38,
|
1218 |
+
"learning_rate": 4.8205128205128205e-05,
|
1219 |
+
"loss": 0.0115,
|
1220 |
+
"step": 1480
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 11.38,
|
1224 |
+
"eval_accuracy": 0.7081174438687392,
|
1225 |
+
"eval_loss": 1.3893637657165527,
|
1226 |
+
"eval_runtime": 21.0579,
|
1227 |
+
"eval_samples_per_second": 54.991,
|
1228 |
+
"eval_steps_per_second": 6.886,
|
1229 |
+
"step": 1480
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 11.46,
|
1233 |
+
"learning_rate": 4.717948717948718e-05,
|
1234 |
+
"loss": 0.0062,
|
1235 |
+
"step": 1490
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 11.54,
|
1239 |
+
"learning_rate": 4.615384615384616e-05,
|
1240 |
+
"loss": 0.0058,
|
1241 |
+
"step": 1500
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 11.62,
|
1245 |
+
"learning_rate": 4.512820512820513e-05,
|
1246 |
+
"loss": 0.0058,
|
1247 |
+
"step": 1510
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 11.69,
|
1251 |
+
"learning_rate": 4.4102564102564104e-05,
|
1252 |
+
"loss": 0.0062,
|
1253 |
+
"step": 1520
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 11.69,
|
1257 |
+
"eval_accuracy": 0.7072538860103627,
|
1258 |
+
"eval_loss": 1.3909190893173218,
|
1259 |
+
"eval_runtime": 20.5699,
|
1260 |
+
"eval_samples_per_second": 56.296,
|
1261 |
+
"eval_steps_per_second": 7.049,
|
1262 |
+
"step": 1520
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 11.77,
|
1266 |
+
"learning_rate": 4.3076923076923084e-05,
|
1267 |
+
"loss": 0.0171,
|
1268 |
+
"step": 1530
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 11.85,
|
1272 |
+
"learning_rate": 4.205128205128206e-05,
|
1273 |
+
"loss": 0.0159,
|
1274 |
+
"step": 1540
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 11.92,
|
1278 |
+
"learning_rate": 4.1025641025641023e-05,
|
1279 |
+
"loss": 0.0054,
|
1280 |
+
"step": 1550
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 12.0,
|
1284 |
+
"learning_rate": 4e-05,
|
1285 |
+
"loss": 0.0055,
|
1286 |
+
"step": 1560
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 12.0,
|
1290 |
+
"eval_accuracy": 0.7124352331606217,
|
1291 |
+
"eval_loss": 1.3742793798446655,
|
1292 |
+
"eval_runtime": 20.0602,
|
1293 |
+
"eval_samples_per_second": 57.726,
|
1294 |
+
"eval_steps_per_second": 7.228,
|
1295 |
+
"step": 1560
|
1296 |
+
},
|
1297 |
+
{
|
1298 |
+
"epoch": 12.08,
|
1299 |
+
"learning_rate": 3.8974358974358976e-05,
|
1300 |
+
"loss": 0.0056,
|
1301 |
+
"step": 1570
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 12.15,
|
1305 |
+
"learning_rate": 3.794871794871795e-05,
|
1306 |
+
"loss": 0.0234,
|
1307 |
+
"step": 1580
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 12.23,
|
1311 |
+
"learning_rate": 3.692307692307693e-05,
|
1312 |
+
"loss": 0.0053,
|
1313 |
+
"step": 1590
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 12.31,
|
1317 |
+
"learning_rate": 3.58974358974359e-05,
|
1318 |
+
"loss": 0.0054,
|
1319 |
+
"step": 1600
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 12.31,
|
1323 |
+
"eval_accuracy": 0.7158894645941278,
|
1324 |
+
"eval_loss": 1.3830854892730713,
|
1325 |
+
"eval_runtime": 20.2514,
|
1326 |
+
"eval_samples_per_second": 57.181,
|
1327 |
+
"eval_steps_per_second": 7.16,
|
1328 |
+
"step": 1600
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 12.38,
|
1332 |
+
"learning_rate": 3.487179487179487e-05,
|
1333 |
+
"loss": 0.0052,
|
1334 |
+
"step": 1610
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 12.46,
|
1338 |
+
"learning_rate": 3.384615384615385e-05,
|
1339 |
+
"loss": 0.0052,
|
1340 |
+
"step": 1620
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 12.54,
|
1344 |
+
"learning_rate": 3.282051282051282e-05,
|
1345 |
+
"loss": 0.0056,
|
1346 |
+
"step": 1630
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 12.62,
|
1350 |
+
"learning_rate": 3.1794871794871795e-05,
|
1351 |
+
"loss": 0.0054,
|
1352 |
+
"step": 1640
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 12.62,
|
1356 |
+
"eval_accuracy": 0.7167530224525043,
|
1357 |
+
"eval_loss": 1.3866362571716309,
|
1358 |
+
"eval_runtime": 21.0166,
|
1359 |
+
"eval_samples_per_second": 55.099,
|
1360 |
+
"eval_steps_per_second": 6.899,
|
1361 |
+
"step": 1640
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 12.69,
|
1365 |
+
"learning_rate": 3.0769230769230774e-05,
|
1366 |
+
"loss": 0.0052,
|
1367 |
+
"step": 1650
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 12.77,
|
1371 |
+
"learning_rate": 2.9743589743589744e-05,
|
1372 |
+
"loss": 0.0052,
|
1373 |
+
"step": 1660
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 12.85,
|
1377 |
+
"learning_rate": 2.8717948717948717e-05,
|
1378 |
+
"loss": 0.0058,
|
1379 |
+
"step": 1670
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 12.92,
|
1383 |
+
"learning_rate": 2.7692307692307694e-05,
|
1384 |
+
"loss": 0.0147,
|
1385 |
+
"step": 1680
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 12.92,
|
1389 |
+
"eval_accuracy": 0.7150259067357513,
|
1390 |
+
"eval_loss": 1.391139030456543,
|
1391 |
+
"eval_runtime": 20.4472,
|
1392 |
+
"eval_samples_per_second": 56.634,
|
1393 |
+
"eval_steps_per_second": 7.091,
|
1394 |
+
"step": 1680
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 13.0,
|
1398 |
+
"learning_rate": 2.6666666666666667e-05,
|
1399 |
+
"loss": 0.0051,
|
1400 |
+
"step": 1690
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 13.08,
|
1404 |
+
"learning_rate": 2.564102564102564e-05,
|
1405 |
+
"loss": 0.0144,
|
1406 |
+
"step": 1700
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 13.15,
|
1410 |
+
"learning_rate": 2.461538461538462e-05,
|
1411 |
+
"loss": 0.0052,
|
1412 |
+
"step": 1710
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 13.23,
|
1416 |
+
"learning_rate": 2.358974358974359e-05,
|
1417 |
+
"loss": 0.0058,
|
1418 |
+
"step": 1720
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 13.23,
|
1422 |
+
"eval_accuracy": 0.7141623488773747,
|
1423 |
+
"eval_loss": 1.3986831903457642,
|
1424 |
+
"eval_runtime": 20.1538,
|
1425 |
+
"eval_samples_per_second": 57.458,
|
1426 |
+
"eval_steps_per_second": 7.195,
|
1427 |
+
"step": 1720
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 13.31,
|
1431 |
+
"learning_rate": 2.2564102564102566e-05,
|
1432 |
+
"loss": 0.0047,
|
1433 |
+
"step": 1730
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 13.38,
|
1437 |
+
"learning_rate": 2.1538461538461542e-05,
|
1438 |
+
"loss": 0.0053,
|
1439 |
+
"step": 1740
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 13.46,
|
1443 |
+
"learning_rate": 2.0512820512820512e-05,
|
1444 |
+
"loss": 0.005,
|
1445 |
+
"step": 1750
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 13.54,
|
1449 |
+
"learning_rate": 1.9487179487179488e-05,
|
1450 |
+
"loss": 0.0096,
|
1451 |
+
"step": 1760
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 13.54,
|
1455 |
+
"eval_accuracy": 0.7132987910189983,
|
1456 |
+
"eval_loss": 1.3994832038879395,
|
1457 |
+
"eval_runtime": 20.378,
|
1458 |
+
"eval_samples_per_second": 56.826,
|
1459 |
+
"eval_steps_per_second": 7.116,
|
1460 |
+
"step": 1760
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 13.62,
|
1464 |
+
"learning_rate": 1.8461538461538465e-05,
|
1465 |
+
"loss": 0.0055,
|
1466 |
+
"step": 1770
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 13.69,
|
1470 |
+
"learning_rate": 1.7435897435897434e-05,
|
1471 |
+
"loss": 0.0112,
|
1472 |
+
"step": 1780
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 13.77,
|
1476 |
+
"learning_rate": 1.641025641025641e-05,
|
1477 |
+
"loss": 0.0047,
|
1478 |
+
"step": 1790
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 13.85,
|
1482 |
+
"learning_rate": 1.5384615384615387e-05,
|
1483 |
+
"loss": 0.0048,
|
1484 |
+
"step": 1800
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 13.85,
|
1488 |
+
"eval_accuracy": 0.7115716753022453,
|
1489 |
+
"eval_loss": 1.401125192642212,
|
1490 |
+
"eval_runtime": 20.4927,
|
1491 |
+
"eval_samples_per_second": 56.508,
|
1492 |
+
"eval_steps_per_second": 7.076,
|
1493 |
+
"step": 1800
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 13.92,
|
1497 |
+
"learning_rate": 1.4358974358974359e-05,
|
1498 |
+
"loss": 0.0053,
|
1499 |
+
"step": 1810
|
1500 |
+
},
|
1501 |
+
{
|
1502 |
+
"epoch": 14.0,
|
1503 |
+
"learning_rate": 1.3333333333333333e-05,
|
1504 |
+
"loss": 0.0047,
|
1505 |
+
"step": 1820
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 14.08,
|
1509 |
+
"learning_rate": 1.230769230769231e-05,
|
1510 |
+
"loss": 0.0146,
|
1511 |
+
"step": 1830
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 14.15,
|
1515 |
+
"learning_rate": 1.1282051282051283e-05,
|
1516 |
+
"loss": 0.0054,
|
1517 |
+
"step": 1840
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"epoch": 14.15,
|
1521 |
+
"eval_accuracy": 0.7115716753022453,
|
1522 |
+
"eval_loss": 1.4026780128479004,
|
1523 |
+
"eval_runtime": 20.8793,
|
1524 |
+
"eval_samples_per_second": 55.462,
|
1525 |
+
"eval_steps_per_second": 6.945,
|
1526 |
+
"step": 1840
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 14.23,
|
1530 |
+
"learning_rate": 1.0256410256410256e-05,
|
1531 |
+
"loss": 0.0046,
|
1532 |
+
"step": 1850
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 14.31,
|
1536 |
+
"learning_rate": 9.230769230769232e-06,
|
1537 |
+
"loss": 0.0046,
|
1538 |
+
"step": 1860
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 14.38,
|
1542 |
+
"learning_rate": 8.205128205128205e-06,
|
1543 |
+
"loss": 0.005,
|
1544 |
+
"step": 1870
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 14.46,
|
1548 |
+
"learning_rate": 7.179487179487179e-06,
|
1549 |
+
"loss": 0.0048,
|
1550 |
+
"step": 1880
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 14.46,
|
1554 |
+
"eval_accuracy": 0.7115716753022453,
|
1555 |
+
"eval_loss": 1.403483510017395,
|
1556 |
+
"eval_runtime": 21.9216,
|
1557 |
+
"eval_samples_per_second": 52.825,
|
1558 |
+
"eval_steps_per_second": 6.614,
|
1559 |
+
"step": 1880
|
1560 |
+
},
|
1561 |
+
{
|
1562 |
+
"epoch": 14.54,
|
1563 |
+
"learning_rate": 6.153846153846155e-06,
|
1564 |
+
"loss": 0.0089,
|
1565 |
+
"step": 1890
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 14.62,
|
1569 |
+
"learning_rate": 5.128205128205128e-06,
|
1570 |
+
"loss": 0.0047,
|
1571 |
+
"step": 1900
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 14.69,
|
1575 |
+
"learning_rate": 4.102564102564103e-06,
|
1576 |
+
"loss": 0.0048,
|
1577 |
+
"step": 1910
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 14.77,
|
1581 |
+
"learning_rate": 3.0769230769230774e-06,
|
1582 |
+
"loss": 0.0047,
|
1583 |
+
"step": 1920
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 14.77,
|
1587 |
+
"eval_accuracy": 0.7124352331606217,
|
1588 |
+
"eval_loss": 1.4049346446990967,
|
1589 |
+
"eval_runtime": 20.2662,
|
1590 |
+
"eval_samples_per_second": 57.139,
|
1591 |
+
"eval_steps_per_second": 7.155,
|
1592 |
+
"step": 1920
|
1593 |
+
}
|
1594 |
+
],
|
1595 |
+
"max_steps": 1950,
|
1596 |
+
"num_train_epochs": 15,
|
1597 |
+
"total_flos": 2.3789170628711793e+18,
|
1598 |
+
"trial_name": null,
|
1599 |
+
"trial_params": null
|
1600 |
+
}
|
checkpoint-1920/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d4a67954eb3bb115d5fc916b53e59475d474112dfa86034717eadf5ee507e440
|
3 |
+
size 3963
|
checkpoint-480/config.json
ADDED
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
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": "Abstract art",
|
13 |
+
"1": "African Art",
|
14 |
+
"10": "Gothic art",
|
15 |
+
"11": "Graffiti",
|
16 |
+
"12": "Impressionism and Post-Impressionism",
|
17 |
+
"13": "Islamic Art",
|
18 |
+
"14": "Japanese Art",
|
19 |
+
"15": "Late Baroque (Rococo) art",
|
20 |
+
"16": "Latin American muralism",
|
21 |
+
"17": "Medieval art",
|
22 |
+
"18": "Minimalism paintings",
|
23 |
+
"19": "Polynesian Art",
|
24 |
+
"2": "Amazonian Art",
|
25 |
+
"20": "Pop art",
|
26 |
+
"21": "Realism paintings",
|
27 |
+
"22": "Renaissance paintings",
|
28 |
+
"23": "Surrealist paintings",
|
29 |
+
"24": "cubism",
|
30 |
+
"25": "expressionism",
|
31 |
+
"26": "romanticism",
|
32 |
+
"3": "Ancient Egyptian and Nubian Art",
|
33 |
+
"4": "Ancient and Traditional Chinese Art",
|
34 |
+
"5": "Anime art",
|
35 |
+
"6": "Art Nouveau paintings",
|
36 |
+
"7": "Baroque paintings",
|
37 |
+
"8": "Cave Art",
|
38 |
+
"9": "Constructivsm art"
|
39 |
+
},
|
40 |
+
"image_size": 224,
|
41 |
+
"initializer_range": 0.02,
|
42 |
+
"intermediate_size": 3072,
|
43 |
+
"label2id": {
|
44 |
+
"Abstract art": "0",
|
45 |
+
"African Art": "1",
|
46 |
+
"Amazonian Art": "2",
|
47 |
+
"Ancient Egyptian and Nubian Art": "3",
|
48 |
+
"Ancient and Traditional Chinese Art": "4",
|
49 |
+
"Anime art": "5",
|
50 |
+
"Art Nouveau paintings": "6",
|
51 |
+
"Baroque paintings": "7",
|
52 |
+
"Cave Art": "8",
|
53 |
+
"Constructivsm art": "9",
|
54 |
+
"Gothic art": "10",
|
55 |
+
"Graffiti": "11",
|
56 |
+
"Impressionism and Post-Impressionism": "12",
|
57 |
+
"Islamic Art": "13",
|
58 |
+
"Japanese Art": "14",
|
59 |
+
"Late Baroque (Rococo) art": "15",
|
60 |
+
"Latin American muralism": "16",
|
61 |
+
"Medieval art": "17",
|
62 |
+
"Minimalism paintings": "18",
|
63 |
+
"Polynesian Art": "19",
|
64 |
+
"Pop art": "20",
|
65 |
+
"Realism paintings": "21",
|
66 |
+
"Renaissance paintings": "22",
|
67 |
+
"Surrealist paintings": "23",
|
68 |
+
"cubism": "24",
|
69 |
+
"expressionism": "25",
|
70 |
+
"romanticism": "26"
|
71 |
+
},
|
72 |
+
"layer_norm_eps": 1e-12,
|
73 |
+
"model_type": "vit",
|
74 |
+
"num_attention_heads": 12,
|
75 |
+
"num_channels": 3,
|
76 |
+
"num_hidden_layers": 12,
|
77 |
+
"patch_size": 16,
|
78 |
+
"problem_type": "single_label_classification",
|
79 |
+
"qkv_bias": true,
|
80 |
+
"torch_dtype": "float32",
|
81 |
+
"transformers_version": "4.31.0"
|
82 |
+
}
|
checkpoint-480/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:39866bc41496272bc97e4eb5968b35d4f278ba322a32506a61fce312ffb9ad31
|
3 |
+
size 686672645
|
checkpoint-480/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": "ViTFeatureExtractor",
|
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-480/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5d75c61e9648e429aee5951f10433b6ff7c7100220be70b8d072c24daa7f73ea
|
3 |
+
size 343345581
|
checkpoint-480/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f0e0f30c7754637247f97149558697a4932915f961818f7360cfc62855116ca0
|
3 |
+
size 14575
|
checkpoint-480/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ce08fd87a10ccfe0d9420fd259547ccd82600e52d1f525c9099c20257bd49dca
|
3 |
+
size 627
|
checkpoint-480/trainer_state.json
ADDED
@@ -0,0 +1,412 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.1361786127090454,
|
3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-480",
|
4 |
+
"epoch": 3.6923076923076925,
|
5 |
+
"global_step": 480,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.08,
|
12 |
+
"learning_rate": 0.00019897435897435898,
|
13 |
+
"loss": 3.2519,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.15,
|
18 |
+
"learning_rate": 0.00019794871794871796,
|
19 |
+
"loss": 3.1095,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.23,
|
24 |
+
"learning_rate": 0.00019692307692307696,
|
25 |
+
"loss": 2.9002,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.31,
|
30 |
+
"learning_rate": 0.0001958974358974359,
|
31 |
+
"loss": 2.7917,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.31,
|
36 |
+
"eval_accuracy": 0.35233160621761656,
|
37 |
+
"eval_loss": 2.6724953651428223,
|
38 |
+
"eval_runtime": 20.1054,
|
39 |
+
"eval_samples_per_second": 57.596,
|
40 |
+
"eval_steps_per_second": 7.212,
|
41 |
+
"step": 40
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.38,
|
45 |
+
"learning_rate": 0.00019487179487179487,
|
46 |
+
"loss": 2.6291,
|
47 |
+
"step": 50
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 0.46,
|
51 |
+
"learning_rate": 0.00019384615384615385,
|
52 |
+
"loss": 2.492,
|
53 |
+
"step": 60
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.54,
|
57 |
+
"learning_rate": 0.00019282051282051282,
|
58 |
+
"loss": 2.4302,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.62,
|
63 |
+
"learning_rate": 0.00019179487179487182,
|
64 |
+
"loss": 2.3207,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.62,
|
69 |
+
"eval_accuracy": 0.4481865284974093,
|
70 |
+
"eval_loss": 2.263643980026245,
|
71 |
+
"eval_runtime": 20.6875,
|
72 |
+
"eval_samples_per_second": 55.976,
|
73 |
+
"eval_steps_per_second": 7.009,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.69,
|
78 |
+
"learning_rate": 0.0001907692307692308,
|
79 |
+
"loss": 2.1778,
|
80 |
+
"step": 90
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.77,
|
84 |
+
"learning_rate": 0.00018974358974358974,
|
85 |
+
"loss": 2.1215,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.85,
|
90 |
+
"learning_rate": 0.0001887179487179487,
|
91 |
+
"loss": 2.0333,
|
92 |
+
"step": 110
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.92,
|
96 |
+
"learning_rate": 0.0001876923076923077,
|
97 |
+
"loss": 1.9258,
|
98 |
+
"step": 120
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.92,
|
102 |
+
"eval_accuracy": 0.5535405872193437,
|
103 |
+
"eval_loss": 1.8725202083587646,
|
104 |
+
"eval_runtime": 19.974,
|
105 |
+
"eval_samples_per_second": 57.975,
|
106 |
+
"eval_steps_per_second": 7.259,
|
107 |
+
"step": 120
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.0,
|
111 |
+
"learning_rate": 0.0001866666666666667,
|
112 |
+
"loss": 1.981,
|
113 |
+
"step": 130
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.08,
|
117 |
+
"learning_rate": 0.00018564102564102566,
|
118 |
+
"loss": 1.5576,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.15,
|
123 |
+
"learning_rate": 0.00018461538461538463,
|
124 |
+
"loss": 1.4327,
|
125 |
+
"step": 150
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.23,
|
129 |
+
"learning_rate": 0.00018358974358974358,
|
130 |
+
"loss": 1.4339,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.23,
|
135 |
+
"eval_accuracy": 0.6260794473229706,
|
136 |
+
"eval_loss": 1.5738734006881714,
|
137 |
+
"eval_runtime": 20.2011,
|
138 |
+
"eval_samples_per_second": 57.323,
|
139 |
+
"eval_steps_per_second": 7.178,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.31,
|
144 |
+
"learning_rate": 0.00018256410256410258,
|
145 |
+
"loss": 1.2945,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.38,
|
150 |
+
"learning_rate": 0.00018153846153846155,
|
151 |
+
"loss": 1.3482,
|
152 |
+
"step": 180
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.46,
|
156 |
+
"learning_rate": 0.00018051282051282052,
|
157 |
+
"loss": 1.2537,
|
158 |
+
"step": 190
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.54,
|
162 |
+
"learning_rate": 0.0001794871794871795,
|
163 |
+
"loss": 1.3328,
|
164 |
+
"step": 200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.54,
|
168 |
+
"eval_accuracy": 0.6226252158894646,
|
169 |
+
"eval_loss": 1.484718918800354,
|
170 |
+
"eval_runtime": 20.1617,
|
171 |
+
"eval_samples_per_second": 57.436,
|
172 |
+
"eval_steps_per_second": 7.192,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.62,
|
177 |
+
"learning_rate": 0.00017846153846153847,
|
178 |
+
"loss": 1.1274,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.69,
|
183 |
+
"learning_rate": 0.00017743589743589744,
|
184 |
+
"loss": 1.169,
|
185 |
+
"step": 220
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.77,
|
189 |
+
"learning_rate": 0.00017641025641025642,
|
190 |
+
"loss": 1.1404,
|
191 |
+
"step": 230
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.85,
|
195 |
+
"learning_rate": 0.0001753846153846154,
|
196 |
+
"loss": 1.0914,
|
197 |
+
"step": 240
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.85,
|
201 |
+
"eval_accuracy": 0.6442141623488774,
|
202 |
+
"eval_loss": 1.3511847257614136,
|
203 |
+
"eval_runtime": 19.8926,
|
204 |
+
"eval_samples_per_second": 58.213,
|
205 |
+
"eval_steps_per_second": 7.289,
|
206 |
+
"step": 240
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.92,
|
210 |
+
"learning_rate": 0.00017435897435897436,
|
211 |
+
"loss": 1.1632,
|
212 |
+
"step": 250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.0,
|
216 |
+
"learning_rate": 0.00017333333333333334,
|
217 |
+
"loss": 1.029,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.08,
|
222 |
+
"learning_rate": 0.00017230769230769234,
|
223 |
+
"loss": 0.7509,
|
224 |
+
"step": 270
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.15,
|
228 |
+
"learning_rate": 0.00017128205128205128,
|
229 |
+
"loss": 0.6594,
|
230 |
+
"step": 280
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.15,
|
234 |
+
"eval_accuracy": 0.6450777202072538,
|
235 |
+
"eval_loss": 1.2636480331420898,
|
236 |
+
"eval_runtime": 20.434,
|
237 |
+
"eval_samples_per_second": 56.67,
|
238 |
+
"eval_steps_per_second": 7.096,
|
239 |
+
"step": 280
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 2.23,
|
243 |
+
"learning_rate": 0.00017025641025641026,
|
244 |
+
"loss": 0.557,
|
245 |
+
"step": 290
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 2.31,
|
249 |
+
"learning_rate": 0.00016923076923076923,
|
250 |
+
"loss": 0.5061,
|
251 |
+
"step": 300
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 2.38,
|
255 |
+
"learning_rate": 0.00016820512820512823,
|
256 |
+
"loss": 0.53,
|
257 |
+
"step": 310
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 2.46,
|
261 |
+
"learning_rate": 0.0001671794871794872,
|
262 |
+
"loss": 0.5651,
|
263 |
+
"step": 320
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 2.46,
|
267 |
+
"eval_accuracy": 0.6649395509499136,
|
268 |
+
"eval_loss": 1.2330708503723145,
|
269 |
+
"eval_runtime": 20.6893,
|
270 |
+
"eval_samples_per_second": 55.971,
|
271 |
+
"eval_steps_per_second": 7.008,
|
272 |
+
"step": 320
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.54,
|
276 |
+
"learning_rate": 0.00016615384615384617,
|
277 |
+
"loss": 0.5417,
|
278 |
+
"step": 330
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.62,
|
282 |
+
"learning_rate": 0.00016512820512820512,
|
283 |
+
"loss": 0.5584,
|
284 |
+
"step": 340
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.69,
|
288 |
+
"learning_rate": 0.0001641025641025641,
|
289 |
+
"loss": 0.6261,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.77,
|
294 |
+
"learning_rate": 0.0001630769230769231,
|
295 |
+
"loss": 0.6847,
|
296 |
+
"step": 360
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.77,
|
300 |
+
"eval_accuracy": 0.6381692573402418,
|
301 |
+
"eval_loss": 1.3150428533554077,
|
302 |
+
"eval_runtime": 20.8049,
|
303 |
+
"eval_samples_per_second": 55.66,
|
304 |
+
"eval_steps_per_second": 6.97,
|
305 |
+
"step": 360
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 2.85,
|
309 |
+
"learning_rate": 0.00016205128205128207,
|
310 |
+
"loss": 0.6079,
|
311 |
+
"step": 370
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 2.92,
|
315 |
+
"learning_rate": 0.00016102564102564104,
|
316 |
+
"loss": 0.6087,
|
317 |
+
"step": 380
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 3.0,
|
321 |
+
"learning_rate": 0.00016,
|
322 |
+
"loss": 0.6049,
|
323 |
+
"step": 390
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 3.08,
|
327 |
+
"learning_rate": 0.00015897435897435896,
|
328 |
+
"loss": 0.2965,
|
329 |
+
"step": 400
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 3.08,
|
333 |
+
"eval_accuracy": 0.6735751295336787,
|
334 |
+
"eval_loss": 1.1951243877410889,
|
335 |
+
"eval_runtime": 20.3022,
|
336 |
+
"eval_samples_per_second": 57.038,
|
337 |
+
"eval_steps_per_second": 7.142,
|
338 |
+
"step": 400
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 3.15,
|
342 |
+
"learning_rate": 0.00015794871794871796,
|
343 |
+
"loss": 0.3409,
|
344 |
+
"step": 410
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 3.23,
|
348 |
+
"learning_rate": 0.00015692307692307693,
|
349 |
+
"loss": 0.2707,
|
350 |
+
"step": 420
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 3.31,
|
354 |
+
"learning_rate": 0.0001558974358974359,
|
355 |
+
"loss": 0.2439,
|
356 |
+
"step": 430
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 3.38,
|
360 |
+
"learning_rate": 0.00015487179487179488,
|
361 |
+
"loss": 0.3052,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 3.38,
|
366 |
+
"eval_accuracy": 0.5915371329879102,
|
367 |
+
"eval_loss": 1.4183249473571777,
|
368 |
+
"eval_runtime": 19.9664,
|
369 |
+
"eval_samples_per_second": 57.997,
|
370 |
+
"eval_steps_per_second": 7.262,
|
371 |
+
"step": 440
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 3.46,
|
375 |
+
"learning_rate": 0.00015384615384615385,
|
376 |
+
"loss": 0.2819,
|
377 |
+
"step": 450
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 3.54,
|
381 |
+
"learning_rate": 0.00015282051282051282,
|
382 |
+
"loss": 0.2755,
|
383 |
+
"step": 460
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 3.62,
|
387 |
+
"learning_rate": 0.0001517948717948718,
|
388 |
+
"loss": 0.2574,
|
389 |
+
"step": 470
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 3.69,
|
393 |
+
"learning_rate": 0.00015076923076923077,
|
394 |
+
"loss": 0.2592,
|
395 |
+
"step": 480
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 3.69,
|
399 |
+
"eval_accuracy": 0.697754749568221,
|
400 |
+
"eval_loss": 1.1361786127090454,
|
401 |
+
"eval_runtime": 19.9742,
|
402 |
+
"eval_samples_per_second": 57.975,
|
403 |
+
"eval_steps_per_second": 7.259,
|
404 |
+
"step": 480
|
405 |
+
}
|
406 |
+
],
|
407 |
+
"max_steps": 1950,
|
408 |
+
"num_train_epochs": 15,
|
409 |
+
"total_flos": 5.948067750708142e+17,
|
410 |
+
"trial_name": null,
|
411 |
+
"trial_params": null
|
412 |
+
}
|
checkpoint-480/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d4a67954eb3bb115d5fc916b53e59475d474112dfa86034717eadf5ee507e440
|
3 |
+
size 3963
|
config.json
ADDED
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
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": "Abstract art",
|
13 |
+
"1": "African Art",
|
14 |
+
"10": "Gothic art",
|
15 |
+
"11": "Graffiti",
|
16 |
+
"12": "Impressionism and Post-Impressionism",
|
17 |
+
"13": "Islamic Art",
|
18 |
+
"14": "Japanese Art",
|
19 |
+
"15": "Late Baroque (Rococo) art",
|
20 |
+
"16": "Latin American muralism",
|
21 |
+
"17": "Medieval art",
|
22 |
+
"18": "Minimalism paintings",
|
23 |
+
"19": "Polynesian Art",
|
24 |
+
"2": "Amazonian Art",
|
25 |
+
"20": "Pop art",
|
26 |
+
"21": "Realism paintings",
|
27 |
+
"22": "Renaissance paintings",
|
28 |
+
"23": "Surrealist paintings",
|
29 |
+
"24": "cubism",
|
30 |
+
"25": "expressionism",
|
31 |
+
"26": "romanticism",
|
32 |
+
"3": "Ancient Egyptian and Nubian Art",
|
33 |
+
"4": "Ancient and Traditional Chinese Art",
|
34 |
+
"5": "Anime art",
|
35 |
+
"6": "Art Nouveau paintings",
|
36 |
+
"7": "Baroque paintings",
|
37 |
+
"8": "Cave Art",
|
38 |
+
"9": "Constructivsm art"
|
39 |
+
},
|
40 |
+
"image_size": 224,
|
41 |
+
"initializer_range": 0.02,
|
42 |
+
"intermediate_size": 3072,
|
43 |
+
"label2id": {
|
44 |
+
"Abstract art": "0",
|
45 |
+
"African Art": "1",
|
46 |
+
"Amazonian Art": "2",
|
47 |
+
"Ancient Egyptian and Nubian Art": "3",
|
48 |
+
"Ancient and Traditional Chinese Art": "4",
|
49 |
+
"Anime art": "5",
|
50 |
+
"Art Nouveau paintings": "6",
|
51 |
+
"Baroque paintings": "7",
|
52 |
+
"Cave Art": "8",
|
53 |
+
"Constructivsm art": "9",
|
54 |
+
"Gothic art": "10",
|
55 |
+
"Graffiti": "11",
|
56 |
+
"Impressionism and Post-Impressionism": "12",
|
57 |
+
"Islamic Art": "13",
|
58 |
+
"Japanese Art": "14",
|
59 |
+
"Late Baroque (Rococo) art": "15",
|
60 |
+
"Latin American muralism": "16",
|
61 |
+
"Medieval art": "17",
|
62 |
+
"Minimalism paintings": "18",
|
63 |
+
"Polynesian Art": "19",
|
64 |
+
"Pop art": "20",
|
65 |
+
"Realism paintings": "21",
|
66 |
+
"Renaissance paintings": "22",
|
67 |
+
"Surrealist paintings": "23",
|
68 |
+
"cubism": "24",
|
69 |
+
"expressionism": "25",
|
70 |
+
"romanticism": "26"
|
71 |
+
},
|
72 |
+
"layer_norm_eps": 1e-12,
|
73 |
+
"model_type": "vit",
|
74 |
+
"num_attention_heads": 12,
|
75 |
+
"num_channels": 3,
|
76 |
+
"num_hidden_layers": 12,
|
77 |
+
"patch_size": 16,
|
78 |
+
"problem_type": "single_label_classification",
|
79 |
+
"qkv_bias": true,
|
80 |
+
"torch_dtype": "float32",
|
81 |
+
"transformers_version": "4.31.0"
|
82 |
+
}
|
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": "ViTFeatureExtractor",
|
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 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5d75c61e9648e429aee5951f10433b6ff7c7100220be70b8d072c24daa7f73ea
|
3 |
+
size 343345581
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 15.0,
|
3 |
+
"total_flos": 2.4159665336144486e+18,
|
4 |
+
"train_loss": 0.33013623780929124,
|
5 |
+
"train_runtime": 2443.4946,
|
6 |
+
"train_samples_per_second": 12.756,
|
7 |
+
"train_steps_per_second": 0.798
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1627 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.1361786127090454,
|
3 |
+
"best_model_checkpoint": "./vit-base-beans/checkpoint-480",
|
4 |
+
"epoch": 15.0,
|
5 |
+
"global_step": 1950,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.08,
|
12 |
+
"learning_rate": 0.00019897435897435898,
|
13 |
+
"loss": 3.2519,
|
14 |
+
"step": 10
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.15,
|
18 |
+
"learning_rate": 0.00019794871794871796,
|
19 |
+
"loss": 3.1095,
|
20 |
+
"step": 20
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.23,
|
24 |
+
"learning_rate": 0.00019692307692307696,
|
25 |
+
"loss": 2.9002,
|
26 |
+
"step": 30
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.31,
|
30 |
+
"learning_rate": 0.0001958974358974359,
|
31 |
+
"loss": 2.7917,
|
32 |
+
"step": 40
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.31,
|
36 |
+
"eval_accuracy": 0.35233160621761656,
|
37 |
+
"eval_loss": 2.6724953651428223,
|
38 |
+
"eval_runtime": 20.1054,
|
39 |
+
"eval_samples_per_second": 57.596,
|
40 |
+
"eval_steps_per_second": 7.212,
|
41 |
+
"step": 40
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 0.38,
|
45 |
+
"learning_rate": 0.00019487179487179487,
|
46 |
+
"loss": 2.6291,
|
47 |
+
"step": 50
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 0.46,
|
51 |
+
"learning_rate": 0.00019384615384615385,
|
52 |
+
"loss": 2.492,
|
53 |
+
"step": 60
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 0.54,
|
57 |
+
"learning_rate": 0.00019282051282051282,
|
58 |
+
"loss": 2.4302,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.62,
|
63 |
+
"learning_rate": 0.00019179487179487182,
|
64 |
+
"loss": 2.3207,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.62,
|
69 |
+
"eval_accuracy": 0.4481865284974093,
|
70 |
+
"eval_loss": 2.263643980026245,
|
71 |
+
"eval_runtime": 20.6875,
|
72 |
+
"eval_samples_per_second": 55.976,
|
73 |
+
"eval_steps_per_second": 7.009,
|
74 |
+
"step": 80
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.69,
|
78 |
+
"learning_rate": 0.0001907692307692308,
|
79 |
+
"loss": 2.1778,
|
80 |
+
"step": 90
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.77,
|
84 |
+
"learning_rate": 0.00018974358974358974,
|
85 |
+
"loss": 2.1215,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.85,
|
90 |
+
"learning_rate": 0.0001887179487179487,
|
91 |
+
"loss": 2.0333,
|
92 |
+
"step": 110
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.92,
|
96 |
+
"learning_rate": 0.0001876923076923077,
|
97 |
+
"loss": 1.9258,
|
98 |
+
"step": 120
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.92,
|
102 |
+
"eval_accuracy": 0.5535405872193437,
|
103 |
+
"eval_loss": 1.8725202083587646,
|
104 |
+
"eval_runtime": 19.974,
|
105 |
+
"eval_samples_per_second": 57.975,
|
106 |
+
"eval_steps_per_second": 7.259,
|
107 |
+
"step": 120
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.0,
|
111 |
+
"learning_rate": 0.0001866666666666667,
|
112 |
+
"loss": 1.981,
|
113 |
+
"step": 130
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.08,
|
117 |
+
"learning_rate": 0.00018564102564102566,
|
118 |
+
"loss": 1.5576,
|
119 |
+
"step": 140
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.15,
|
123 |
+
"learning_rate": 0.00018461538461538463,
|
124 |
+
"loss": 1.4327,
|
125 |
+
"step": 150
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.23,
|
129 |
+
"learning_rate": 0.00018358974358974358,
|
130 |
+
"loss": 1.4339,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.23,
|
135 |
+
"eval_accuracy": 0.6260794473229706,
|
136 |
+
"eval_loss": 1.5738734006881714,
|
137 |
+
"eval_runtime": 20.2011,
|
138 |
+
"eval_samples_per_second": 57.323,
|
139 |
+
"eval_steps_per_second": 7.178,
|
140 |
+
"step": 160
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.31,
|
144 |
+
"learning_rate": 0.00018256410256410258,
|
145 |
+
"loss": 1.2945,
|
146 |
+
"step": 170
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 1.38,
|
150 |
+
"learning_rate": 0.00018153846153846155,
|
151 |
+
"loss": 1.3482,
|
152 |
+
"step": 180
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.46,
|
156 |
+
"learning_rate": 0.00018051282051282052,
|
157 |
+
"loss": 1.2537,
|
158 |
+
"step": 190
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.54,
|
162 |
+
"learning_rate": 0.0001794871794871795,
|
163 |
+
"loss": 1.3328,
|
164 |
+
"step": 200
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 1.54,
|
168 |
+
"eval_accuracy": 0.6226252158894646,
|
169 |
+
"eval_loss": 1.484718918800354,
|
170 |
+
"eval_runtime": 20.1617,
|
171 |
+
"eval_samples_per_second": 57.436,
|
172 |
+
"eval_steps_per_second": 7.192,
|
173 |
+
"step": 200
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.62,
|
177 |
+
"learning_rate": 0.00017846153846153847,
|
178 |
+
"loss": 1.1274,
|
179 |
+
"step": 210
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.69,
|
183 |
+
"learning_rate": 0.00017743589743589744,
|
184 |
+
"loss": 1.169,
|
185 |
+
"step": 220
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.77,
|
189 |
+
"learning_rate": 0.00017641025641025642,
|
190 |
+
"loss": 1.1404,
|
191 |
+
"step": 230
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.85,
|
195 |
+
"learning_rate": 0.0001753846153846154,
|
196 |
+
"loss": 1.0914,
|
197 |
+
"step": 240
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.85,
|
201 |
+
"eval_accuracy": 0.6442141623488774,
|
202 |
+
"eval_loss": 1.3511847257614136,
|
203 |
+
"eval_runtime": 19.8926,
|
204 |
+
"eval_samples_per_second": 58.213,
|
205 |
+
"eval_steps_per_second": 7.289,
|
206 |
+
"step": 240
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.92,
|
210 |
+
"learning_rate": 0.00017435897435897436,
|
211 |
+
"loss": 1.1632,
|
212 |
+
"step": 250
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.0,
|
216 |
+
"learning_rate": 0.00017333333333333334,
|
217 |
+
"loss": 1.029,
|
218 |
+
"step": 260
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 2.08,
|
222 |
+
"learning_rate": 0.00017230769230769234,
|
223 |
+
"loss": 0.7509,
|
224 |
+
"step": 270
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.15,
|
228 |
+
"learning_rate": 0.00017128205128205128,
|
229 |
+
"loss": 0.6594,
|
230 |
+
"step": 280
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.15,
|
234 |
+
"eval_accuracy": 0.6450777202072538,
|
235 |
+
"eval_loss": 1.2636480331420898,
|
236 |
+
"eval_runtime": 20.434,
|
237 |
+
"eval_samples_per_second": 56.67,
|
238 |
+
"eval_steps_per_second": 7.096,
|
239 |
+
"step": 280
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 2.23,
|
243 |
+
"learning_rate": 0.00017025641025641026,
|
244 |
+
"loss": 0.557,
|
245 |
+
"step": 290
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 2.31,
|
249 |
+
"learning_rate": 0.00016923076923076923,
|
250 |
+
"loss": 0.5061,
|
251 |
+
"step": 300
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 2.38,
|
255 |
+
"learning_rate": 0.00016820512820512823,
|
256 |
+
"loss": 0.53,
|
257 |
+
"step": 310
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 2.46,
|
261 |
+
"learning_rate": 0.0001671794871794872,
|
262 |
+
"loss": 0.5651,
|
263 |
+
"step": 320
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 2.46,
|
267 |
+
"eval_accuracy": 0.6649395509499136,
|
268 |
+
"eval_loss": 1.2330708503723145,
|
269 |
+
"eval_runtime": 20.6893,
|
270 |
+
"eval_samples_per_second": 55.971,
|
271 |
+
"eval_steps_per_second": 7.008,
|
272 |
+
"step": 320
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 2.54,
|
276 |
+
"learning_rate": 0.00016615384615384617,
|
277 |
+
"loss": 0.5417,
|
278 |
+
"step": 330
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.62,
|
282 |
+
"learning_rate": 0.00016512820512820512,
|
283 |
+
"loss": 0.5584,
|
284 |
+
"step": 340
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.69,
|
288 |
+
"learning_rate": 0.0001641025641025641,
|
289 |
+
"loss": 0.6261,
|
290 |
+
"step": 350
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 2.77,
|
294 |
+
"learning_rate": 0.0001630769230769231,
|
295 |
+
"loss": 0.6847,
|
296 |
+
"step": 360
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.77,
|
300 |
+
"eval_accuracy": 0.6381692573402418,
|
301 |
+
"eval_loss": 1.3150428533554077,
|
302 |
+
"eval_runtime": 20.8049,
|
303 |
+
"eval_samples_per_second": 55.66,
|
304 |
+
"eval_steps_per_second": 6.97,
|
305 |
+
"step": 360
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 2.85,
|
309 |
+
"learning_rate": 0.00016205128205128207,
|
310 |
+
"loss": 0.6079,
|
311 |
+
"step": 370
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 2.92,
|
315 |
+
"learning_rate": 0.00016102564102564104,
|
316 |
+
"loss": 0.6087,
|
317 |
+
"step": 380
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 3.0,
|
321 |
+
"learning_rate": 0.00016,
|
322 |
+
"loss": 0.6049,
|
323 |
+
"step": 390
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 3.08,
|
327 |
+
"learning_rate": 0.00015897435897435896,
|
328 |
+
"loss": 0.2965,
|
329 |
+
"step": 400
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 3.08,
|
333 |
+
"eval_accuracy": 0.6735751295336787,
|
334 |
+
"eval_loss": 1.1951243877410889,
|
335 |
+
"eval_runtime": 20.3022,
|
336 |
+
"eval_samples_per_second": 57.038,
|
337 |
+
"eval_steps_per_second": 7.142,
|
338 |
+
"step": 400
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 3.15,
|
342 |
+
"learning_rate": 0.00015794871794871796,
|
343 |
+
"loss": 0.3409,
|
344 |
+
"step": 410
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 3.23,
|
348 |
+
"learning_rate": 0.00015692307692307693,
|
349 |
+
"loss": 0.2707,
|
350 |
+
"step": 420
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 3.31,
|
354 |
+
"learning_rate": 0.0001558974358974359,
|
355 |
+
"loss": 0.2439,
|
356 |
+
"step": 430
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 3.38,
|
360 |
+
"learning_rate": 0.00015487179487179488,
|
361 |
+
"loss": 0.3052,
|
362 |
+
"step": 440
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 3.38,
|
366 |
+
"eval_accuracy": 0.5915371329879102,
|
367 |
+
"eval_loss": 1.4183249473571777,
|
368 |
+
"eval_runtime": 19.9664,
|
369 |
+
"eval_samples_per_second": 57.997,
|
370 |
+
"eval_steps_per_second": 7.262,
|
371 |
+
"step": 440
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 3.46,
|
375 |
+
"learning_rate": 0.00015384615384615385,
|
376 |
+
"loss": 0.2819,
|
377 |
+
"step": 450
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 3.54,
|
381 |
+
"learning_rate": 0.00015282051282051282,
|
382 |
+
"loss": 0.2755,
|
383 |
+
"step": 460
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 3.62,
|
387 |
+
"learning_rate": 0.0001517948717948718,
|
388 |
+
"loss": 0.2574,
|
389 |
+
"step": 470
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 3.69,
|
393 |
+
"learning_rate": 0.00015076923076923077,
|
394 |
+
"loss": 0.2592,
|
395 |
+
"step": 480
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 3.69,
|
399 |
+
"eval_accuracy": 0.697754749568221,
|
400 |
+
"eval_loss": 1.1361786127090454,
|
401 |
+
"eval_runtime": 19.9742,
|
402 |
+
"eval_samples_per_second": 57.975,
|
403 |
+
"eval_steps_per_second": 7.259,
|
404 |
+
"step": 480
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 3.77,
|
408 |
+
"learning_rate": 0.00014974358974358974,
|
409 |
+
"loss": 0.2762,
|
410 |
+
"step": 490
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 3.85,
|
414 |
+
"learning_rate": 0.00014871794871794872,
|
415 |
+
"loss": 0.2489,
|
416 |
+
"step": 500
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 3.92,
|
420 |
+
"learning_rate": 0.00014769230769230772,
|
421 |
+
"loss": 0.2119,
|
422 |
+
"step": 510
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 4.0,
|
426 |
+
"learning_rate": 0.00014666666666666666,
|
427 |
+
"loss": 0.3058,
|
428 |
+
"step": 520
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 4.0,
|
432 |
+
"eval_accuracy": 0.6303972366148531,
|
433 |
+
"eval_loss": 1.4736298322677612,
|
434 |
+
"eval_runtime": 20.1619,
|
435 |
+
"eval_samples_per_second": 57.435,
|
436 |
+
"eval_steps_per_second": 7.192,
|
437 |
+
"step": 520
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 4.08,
|
441 |
+
"learning_rate": 0.00014564102564102564,
|
442 |
+
"loss": 0.2272,
|
443 |
+
"step": 530
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 4.15,
|
447 |
+
"learning_rate": 0.0001446153846153846,
|
448 |
+
"loss": 0.1024,
|
449 |
+
"step": 540
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 4.23,
|
453 |
+
"learning_rate": 0.0001435897435897436,
|
454 |
+
"loss": 0.1202,
|
455 |
+
"step": 550
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 4.31,
|
459 |
+
"learning_rate": 0.00014256410256410258,
|
460 |
+
"loss": 0.1412,
|
461 |
+
"step": 560
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 4.31,
|
465 |
+
"eval_accuracy": 0.6528497409326425,
|
466 |
+
"eval_loss": 1.2578930854797363,
|
467 |
+
"eval_runtime": 20.8549,
|
468 |
+
"eval_samples_per_second": 55.527,
|
469 |
+
"eval_steps_per_second": 6.953,
|
470 |
+
"step": 560
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 4.38,
|
474 |
+
"learning_rate": 0.00014153846153846156,
|
475 |
+
"loss": 0.1405,
|
476 |
+
"step": 570
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 4.46,
|
480 |
+
"learning_rate": 0.0001405128205128205,
|
481 |
+
"loss": 0.1154,
|
482 |
+
"step": 580
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 4.54,
|
486 |
+
"learning_rate": 0.00013948717948717947,
|
487 |
+
"loss": 0.1481,
|
488 |
+
"step": 590
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 4.62,
|
492 |
+
"learning_rate": 0.00013846153846153847,
|
493 |
+
"loss": 0.1141,
|
494 |
+
"step": 600
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 4.62,
|
498 |
+
"eval_accuracy": 0.6675302245250432,
|
499 |
+
"eval_loss": 1.2793298959732056,
|
500 |
+
"eval_runtime": 20.7805,
|
501 |
+
"eval_samples_per_second": 55.725,
|
502 |
+
"eval_steps_per_second": 6.978,
|
503 |
+
"step": 600
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 4.69,
|
507 |
+
"learning_rate": 0.00013743589743589745,
|
508 |
+
"loss": 0.1616,
|
509 |
+
"step": 610
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 4.77,
|
513 |
+
"learning_rate": 0.00013641025641025642,
|
514 |
+
"loss": 0.1792,
|
515 |
+
"step": 620
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 4.85,
|
519 |
+
"learning_rate": 0.0001353846153846154,
|
520 |
+
"loss": 0.0885,
|
521 |
+
"step": 630
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 4.92,
|
525 |
+
"learning_rate": 0.00013435897435897437,
|
526 |
+
"loss": 0.1553,
|
527 |
+
"step": 640
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 4.92,
|
531 |
+
"eval_accuracy": 0.6588946459412781,
|
532 |
+
"eval_loss": 1.3182828426361084,
|
533 |
+
"eval_runtime": 20.1017,
|
534 |
+
"eval_samples_per_second": 57.607,
|
535 |
+
"eval_steps_per_second": 7.213,
|
536 |
+
"step": 640
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 5.0,
|
540 |
+
"learning_rate": 0.00013333333333333334,
|
541 |
+
"loss": 0.1181,
|
542 |
+
"step": 650
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 5.08,
|
546 |
+
"learning_rate": 0.0001323076923076923,
|
547 |
+
"loss": 0.1392,
|
548 |
+
"step": 660
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 5.15,
|
552 |
+
"learning_rate": 0.00013128205128205129,
|
553 |
+
"loss": 0.0673,
|
554 |
+
"step": 670
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 5.23,
|
558 |
+
"learning_rate": 0.00013025641025641026,
|
559 |
+
"loss": 0.059,
|
560 |
+
"step": 680
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 5.23,
|
564 |
+
"eval_accuracy": 0.6882556131260794,
|
565 |
+
"eval_loss": 1.2099286317825317,
|
566 |
+
"eval_runtime": 21.3732,
|
567 |
+
"eval_samples_per_second": 54.18,
|
568 |
+
"eval_steps_per_second": 6.784,
|
569 |
+
"step": 680
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 5.31,
|
573 |
+
"learning_rate": 0.00012923076923076923,
|
574 |
+
"loss": 0.0786,
|
575 |
+
"step": 690
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 5.38,
|
579 |
+
"learning_rate": 0.00012820512820512823,
|
580 |
+
"loss": 0.0537,
|
581 |
+
"step": 700
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 5.46,
|
585 |
+
"learning_rate": 0.00012717948717948718,
|
586 |
+
"loss": 0.0639,
|
587 |
+
"step": 710
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 5.54,
|
591 |
+
"learning_rate": 0.00012615384615384615,
|
592 |
+
"loss": 0.0914,
|
593 |
+
"step": 720
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 5.54,
|
597 |
+
"eval_accuracy": 0.6718480138169257,
|
598 |
+
"eval_loss": 1.298492193222046,
|
599 |
+
"eval_runtime": 20.1222,
|
600 |
+
"eval_samples_per_second": 57.548,
|
601 |
+
"eval_steps_per_second": 7.206,
|
602 |
+
"step": 720
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 5.62,
|
606 |
+
"learning_rate": 0.00012512820512820512,
|
607 |
+
"loss": 0.1004,
|
608 |
+
"step": 730
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 5.69,
|
612 |
+
"learning_rate": 0.00012410256410256412,
|
613 |
+
"loss": 0.0592,
|
614 |
+
"step": 740
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 5.77,
|
618 |
+
"learning_rate": 0.0001230769230769231,
|
619 |
+
"loss": 0.0688,
|
620 |
+
"step": 750
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 5.85,
|
624 |
+
"learning_rate": 0.00012205128205128207,
|
625 |
+
"loss": 0.0546,
|
626 |
+
"step": 760
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 5.85,
|
630 |
+
"eval_accuracy": 0.690846286701209,
|
631 |
+
"eval_loss": 1.282209873199463,
|
632 |
+
"eval_runtime": 20.42,
|
633 |
+
"eval_samples_per_second": 56.709,
|
634 |
+
"eval_steps_per_second": 7.101,
|
635 |
+
"step": 760
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 5.92,
|
639 |
+
"learning_rate": 0.00012102564102564103,
|
640 |
+
"loss": 0.0285,
|
641 |
+
"step": 770
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 6.0,
|
645 |
+
"learning_rate": 0.00012,
|
646 |
+
"loss": 0.0318,
|
647 |
+
"step": 780
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 6.08,
|
651 |
+
"learning_rate": 0.00011897435897435898,
|
652 |
+
"loss": 0.0249,
|
653 |
+
"step": 790
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 6.15,
|
657 |
+
"learning_rate": 0.00011794871794871796,
|
658 |
+
"loss": 0.0306,
|
659 |
+
"step": 800
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 6.15,
|
663 |
+
"eval_accuracy": 0.6735751295336787,
|
664 |
+
"eval_loss": 1.3418058156967163,
|
665 |
+
"eval_runtime": 20.9104,
|
666 |
+
"eval_samples_per_second": 55.379,
|
667 |
+
"eval_steps_per_second": 6.934,
|
668 |
+
"step": 800
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 6.23,
|
672 |
+
"learning_rate": 0.00011692307692307694,
|
673 |
+
"loss": 0.0689,
|
674 |
+
"step": 810
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 6.31,
|
678 |
+
"learning_rate": 0.00011589743589743591,
|
679 |
+
"loss": 0.0617,
|
680 |
+
"step": 820
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 6.38,
|
684 |
+
"learning_rate": 0.00011487179487179487,
|
685 |
+
"loss": 0.0717,
|
686 |
+
"step": 830
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 6.46,
|
690 |
+
"learning_rate": 0.00011384615384615384,
|
691 |
+
"loss": 0.0207,
|
692 |
+
"step": 840
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 6.46,
|
696 |
+
"eval_accuracy": 0.697754749568221,
|
697 |
+
"eval_loss": 1.3155086040496826,
|
698 |
+
"eval_runtime": 20.9506,
|
699 |
+
"eval_samples_per_second": 55.273,
|
700 |
+
"eval_steps_per_second": 6.921,
|
701 |
+
"step": 840
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 6.54,
|
705 |
+
"learning_rate": 0.00011282051282051283,
|
706 |
+
"loss": 0.0192,
|
707 |
+
"step": 850
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 6.62,
|
711 |
+
"learning_rate": 0.0001117948717948718,
|
712 |
+
"loss": 0.0448,
|
713 |
+
"step": 860
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 6.69,
|
717 |
+
"learning_rate": 0.00011076923076923077,
|
718 |
+
"loss": 0.0213,
|
719 |
+
"step": 870
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 6.77,
|
723 |
+
"learning_rate": 0.00010974358974358976,
|
724 |
+
"loss": 0.0505,
|
725 |
+
"step": 880
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 6.77,
|
729 |
+
"eval_accuracy": 0.6614853195164075,
|
730 |
+
"eval_loss": 1.4209389686584473,
|
731 |
+
"eval_runtime": 20.0879,
|
732 |
+
"eval_samples_per_second": 57.647,
|
733 |
+
"eval_steps_per_second": 7.218,
|
734 |
+
"step": 880
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 6.85,
|
738 |
+
"learning_rate": 0.00010871794871794872,
|
739 |
+
"loss": 0.0356,
|
740 |
+
"step": 890
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 6.92,
|
744 |
+
"learning_rate": 0.0001076923076923077,
|
745 |
+
"loss": 0.022,
|
746 |
+
"step": 900
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 7.0,
|
750 |
+
"learning_rate": 0.00010666666666666667,
|
751 |
+
"loss": 0.102,
|
752 |
+
"step": 910
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 7.08,
|
756 |
+
"learning_rate": 0.00010564102564102565,
|
757 |
+
"loss": 0.016,
|
758 |
+
"step": 920
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 7.08,
|
762 |
+
"eval_accuracy": 0.697754749568221,
|
763 |
+
"eval_loss": 1.3212494850158691,
|
764 |
+
"eval_runtime": 20.3129,
|
765 |
+
"eval_samples_per_second": 57.008,
|
766 |
+
"eval_steps_per_second": 7.138,
|
767 |
+
"step": 920
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 7.15,
|
771 |
+
"learning_rate": 0.00010461538461538463,
|
772 |
+
"loss": 0.038,
|
773 |
+
"step": 930
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 7.23,
|
777 |
+
"learning_rate": 0.0001035897435897436,
|
778 |
+
"loss": 0.0161,
|
779 |
+
"step": 940
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 7.31,
|
783 |
+
"learning_rate": 0.00010256410256410256,
|
784 |
+
"loss": 0.0266,
|
785 |
+
"step": 950
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 7.38,
|
789 |
+
"learning_rate": 0.00010153846153846153,
|
790 |
+
"loss": 0.0268,
|
791 |
+
"step": 960
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 7.38,
|
795 |
+
"eval_accuracy": 0.7081174438687392,
|
796 |
+
"eval_loss": 1.2981479167938232,
|
797 |
+
"eval_runtime": 20.6143,
|
798 |
+
"eval_samples_per_second": 56.175,
|
799 |
+
"eval_steps_per_second": 7.034,
|
800 |
+
"step": 960
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 7.46,
|
804 |
+
"learning_rate": 0.00010051282051282052,
|
805 |
+
"loss": 0.0235,
|
806 |
+
"step": 970
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 7.54,
|
810 |
+
"learning_rate": 9.948717948717949e-05,
|
811 |
+
"loss": 0.0126,
|
812 |
+
"step": 980
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 7.62,
|
816 |
+
"learning_rate": 9.846153846153848e-05,
|
817 |
+
"loss": 0.0143,
|
818 |
+
"step": 990
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 7.69,
|
822 |
+
"learning_rate": 9.743589743589744e-05,
|
823 |
+
"loss": 0.0299,
|
824 |
+
"step": 1000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 7.69,
|
828 |
+
"eval_accuracy": 0.6925734024179621,
|
829 |
+
"eval_loss": 1.3568987846374512,
|
830 |
+
"eval_runtime": 20.4554,
|
831 |
+
"eval_samples_per_second": 56.611,
|
832 |
+
"eval_steps_per_second": 7.089,
|
833 |
+
"step": 1000
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 7.77,
|
837 |
+
"learning_rate": 9.641025641025641e-05,
|
838 |
+
"loss": 0.0122,
|
839 |
+
"step": 1010
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 7.85,
|
843 |
+
"learning_rate": 9.53846153846154e-05,
|
844 |
+
"loss": 0.0203,
|
845 |
+
"step": 1020
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 7.92,
|
849 |
+
"learning_rate": 9.435897435897436e-05,
|
850 |
+
"loss": 0.0105,
|
851 |
+
"step": 1030
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 8.0,
|
855 |
+
"learning_rate": 9.333333333333334e-05,
|
856 |
+
"loss": 0.0395,
|
857 |
+
"step": 1040
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 8.0,
|
861 |
+
"eval_accuracy": 0.697754749568221,
|
862 |
+
"eval_loss": 1.315879225730896,
|
863 |
+
"eval_runtime": 20.1743,
|
864 |
+
"eval_samples_per_second": 57.4,
|
865 |
+
"eval_steps_per_second": 7.187,
|
866 |
+
"step": 1040
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 8.08,
|
870 |
+
"learning_rate": 9.230769230769232e-05,
|
871 |
+
"loss": 0.0102,
|
872 |
+
"step": 1050
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 8.15,
|
876 |
+
"learning_rate": 9.128205128205129e-05,
|
877 |
+
"loss": 0.0103,
|
878 |
+
"step": 1060
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 8.23,
|
882 |
+
"learning_rate": 9.025641025641026e-05,
|
883 |
+
"loss": 0.0106,
|
884 |
+
"step": 1070
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 8.31,
|
888 |
+
"learning_rate": 8.923076923076924e-05,
|
889 |
+
"loss": 0.0106,
|
890 |
+
"step": 1080
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 8.31,
|
894 |
+
"eval_accuracy": 0.7046632124352331,
|
895 |
+
"eval_loss": 1.3094946146011353,
|
896 |
+
"eval_runtime": 20.1865,
|
897 |
+
"eval_samples_per_second": 57.365,
|
898 |
+
"eval_steps_per_second": 7.183,
|
899 |
+
"step": 1080
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 8.38,
|
903 |
+
"learning_rate": 8.820512820512821e-05,
|
904 |
+
"loss": 0.0364,
|
905 |
+
"step": 1090
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 8.46,
|
909 |
+
"learning_rate": 8.717948717948718e-05,
|
910 |
+
"loss": 0.0098,
|
911 |
+
"step": 1100
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 8.54,
|
915 |
+
"learning_rate": 8.615384615384617e-05,
|
916 |
+
"loss": 0.0462,
|
917 |
+
"step": 1110
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 8.62,
|
921 |
+
"learning_rate": 8.512820512820513e-05,
|
922 |
+
"loss": 0.0093,
|
923 |
+
"step": 1120
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 8.62,
|
927 |
+
"eval_accuracy": 0.7124352331606217,
|
928 |
+
"eval_loss": 1.3362736701965332,
|
929 |
+
"eval_runtime": 20.3723,
|
930 |
+
"eval_samples_per_second": 56.842,
|
931 |
+
"eval_steps_per_second": 7.117,
|
932 |
+
"step": 1120
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 8.69,
|
936 |
+
"learning_rate": 8.410256410256411e-05,
|
937 |
+
"loss": 0.0097,
|
938 |
+
"step": 1130
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 8.77,
|
942 |
+
"learning_rate": 8.307692307692309e-05,
|
943 |
+
"loss": 0.0087,
|
944 |
+
"step": 1140
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 8.85,
|
948 |
+
"learning_rate": 8.205128205128205e-05,
|
949 |
+
"loss": 0.0087,
|
950 |
+
"step": 1150
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 8.92,
|
954 |
+
"learning_rate": 8.102564102564103e-05,
|
955 |
+
"loss": 0.0364,
|
956 |
+
"step": 1160
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 8.92,
|
960 |
+
"eval_accuracy": 0.7089810017271158,
|
961 |
+
"eval_loss": 1.340015172958374,
|
962 |
+
"eval_runtime": 21.051,
|
963 |
+
"eval_samples_per_second": 55.009,
|
964 |
+
"eval_steps_per_second": 6.888,
|
965 |
+
"step": 1160
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 9.0,
|
969 |
+
"learning_rate": 8e-05,
|
970 |
+
"loss": 0.0087,
|
971 |
+
"step": 1170
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 9.08,
|
975 |
+
"learning_rate": 7.897435897435898e-05,
|
976 |
+
"loss": 0.0101,
|
977 |
+
"step": 1180
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 9.15,
|
981 |
+
"learning_rate": 7.794871794871795e-05,
|
982 |
+
"loss": 0.0174,
|
983 |
+
"step": 1190
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 9.23,
|
987 |
+
"learning_rate": 7.692307692307693e-05,
|
988 |
+
"loss": 0.0324,
|
989 |
+
"step": 1200
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 9.23,
|
993 |
+
"eval_accuracy": 0.7098445595854922,
|
994 |
+
"eval_loss": 1.3313075304031372,
|
995 |
+
"eval_runtime": 21.981,
|
996 |
+
"eval_samples_per_second": 52.682,
|
997 |
+
"eval_steps_per_second": 6.597,
|
998 |
+
"step": 1200
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 9.31,
|
1002 |
+
"learning_rate": 7.58974358974359e-05,
|
1003 |
+
"loss": 0.0076,
|
1004 |
+
"step": 1210
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 9.38,
|
1008 |
+
"learning_rate": 7.487179487179487e-05,
|
1009 |
+
"loss": 0.0287,
|
1010 |
+
"step": 1220
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 9.46,
|
1014 |
+
"learning_rate": 7.384615384615386e-05,
|
1015 |
+
"loss": 0.0083,
|
1016 |
+
"step": 1230
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 9.54,
|
1020 |
+
"learning_rate": 7.282051282051282e-05,
|
1021 |
+
"loss": 0.0076,
|
1022 |
+
"step": 1240
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 9.54,
|
1026 |
+
"eval_accuracy": 0.7072538860103627,
|
1027 |
+
"eval_loss": 1.3641475439071655,
|
1028 |
+
"eval_runtime": 20.2849,
|
1029 |
+
"eval_samples_per_second": 57.087,
|
1030 |
+
"eval_steps_per_second": 7.148,
|
1031 |
+
"step": 1240
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 9.62,
|
1035 |
+
"learning_rate": 7.17948717948718e-05,
|
1036 |
+
"loss": 0.0076,
|
1037 |
+
"step": 1250
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 9.69,
|
1041 |
+
"learning_rate": 7.076923076923078e-05,
|
1042 |
+
"loss": 0.0075,
|
1043 |
+
"step": 1260
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 9.77,
|
1047 |
+
"learning_rate": 6.974358974358974e-05,
|
1048 |
+
"loss": 0.0078,
|
1049 |
+
"step": 1270
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 9.85,
|
1053 |
+
"learning_rate": 6.871794871794872e-05,
|
1054 |
+
"loss": 0.0076,
|
1055 |
+
"step": 1280
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 9.85,
|
1059 |
+
"eval_accuracy": 0.7098445595854922,
|
1060 |
+
"eval_loss": 1.357639193534851,
|
1061 |
+
"eval_runtime": 20.3563,
|
1062 |
+
"eval_samples_per_second": 56.887,
|
1063 |
+
"eval_steps_per_second": 7.123,
|
1064 |
+
"step": 1280
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 9.92,
|
1068 |
+
"learning_rate": 6.76923076923077e-05,
|
1069 |
+
"loss": 0.007,
|
1070 |
+
"step": 1290
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 10.0,
|
1074 |
+
"learning_rate": 6.666666666666667e-05,
|
1075 |
+
"loss": 0.0075,
|
1076 |
+
"step": 1300
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 10.08,
|
1080 |
+
"learning_rate": 6.564102564102564e-05,
|
1081 |
+
"loss": 0.0126,
|
1082 |
+
"step": 1310
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 10.15,
|
1086 |
+
"learning_rate": 6.461538461538462e-05,
|
1087 |
+
"loss": 0.021,
|
1088 |
+
"step": 1320
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 10.15,
|
1092 |
+
"eval_accuracy": 0.7124352331606217,
|
1093 |
+
"eval_loss": 1.3460208177566528,
|
1094 |
+
"eval_runtime": 20.5844,
|
1095 |
+
"eval_samples_per_second": 56.256,
|
1096 |
+
"eval_steps_per_second": 7.044,
|
1097 |
+
"step": 1320
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 10.23,
|
1101 |
+
"learning_rate": 6.358974358974359e-05,
|
1102 |
+
"loss": 0.0068,
|
1103 |
+
"step": 1330
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 10.31,
|
1107 |
+
"learning_rate": 6.256410256410256e-05,
|
1108 |
+
"loss": 0.0068,
|
1109 |
+
"step": 1340
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 10.38,
|
1113 |
+
"learning_rate": 6.153846153846155e-05,
|
1114 |
+
"loss": 0.0066,
|
1115 |
+
"step": 1350
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 10.46,
|
1119 |
+
"learning_rate": 6.0512820512820515e-05,
|
1120 |
+
"loss": 0.0064,
|
1121 |
+
"step": 1360
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 10.46,
|
1125 |
+
"eval_accuracy": 0.7184801381692574,
|
1126 |
+
"eval_loss": 1.3521218299865723,
|
1127 |
+
"eval_runtime": 21.5706,
|
1128 |
+
"eval_samples_per_second": 53.684,
|
1129 |
+
"eval_steps_per_second": 6.722,
|
1130 |
+
"step": 1360
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 10.54,
|
1134 |
+
"learning_rate": 5.948717948717949e-05,
|
1135 |
+
"loss": 0.0061,
|
1136 |
+
"step": 1370
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 10.62,
|
1140 |
+
"learning_rate": 5.846153846153847e-05,
|
1141 |
+
"loss": 0.0062,
|
1142 |
+
"step": 1380
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 10.69,
|
1146 |
+
"learning_rate": 5.7435897435897434e-05,
|
1147 |
+
"loss": 0.0364,
|
1148 |
+
"step": 1390
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 10.77,
|
1152 |
+
"learning_rate": 5.6410256410256414e-05,
|
1153 |
+
"loss": 0.0069,
|
1154 |
+
"step": 1400
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 10.77,
|
1158 |
+
"eval_accuracy": 0.7141623488773747,
|
1159 |
+
"eval_loss": 1.3537815809249878,
|
1160 |
+
"eval_runtime": 20.0789,
|
1161 |
+
"eval_samples_per_second": 57.672,
|
1162 |
+
"eval_steps_per_second": 7.221,
|
1163 |
+
"step": 1400
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 10.85,
|
1167 |
+
"learning_rate": 5.538461538461539e-05,
|
1168 |
+
"loss": 0.0069,
|
1169 |
+
"step": 1410
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 10.92,
|
1173 |
+
"learning_rate": 5.435897435897436e-05,
|
1174 |
+
"loss": 0.0068,
|
1175 |
+
"step": 1420
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 11.0,
|
1179 |
+
"learning_rate": 5.333333333333333e-05,
|
1180 |
+
"loss": 0.0063,
|
1181 |
+
"step": 1430
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 11.08,
|
1185 |
+
"learning_rate": 5.230769230769231e-05,
|
1186 |
+
"loss": 0.0101,
|
1187 |
+
"step": 1440
|
1188 |
+
},
|
1189 |
+
{
|
1190 |
+
"epoch": 11.08,
|
1191 |
+
"eval_accuracy": 0.7150259067357513,
|
1192 |
+
"eval_loss": 1.3637244701385498,
|
1193 |
+
"eval_runtime": 20.418,
|
1194 |
+
"eval_samples_per_second": 56.715,
|
1195 |
+
"eval_steps_per_second": 7.102,
|
1196 |
+
"step": 1440
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 11.15,
|
1200 |
+
"learning_rate": 5.128205128205128e-05,
|
1201 |
+
"loss": 0.0094,
|
1202 |
+
"step": 1450
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 11.23,
|
1206 |
+
"learning_rate": 5.025641025641026e-05,
|
1207 |
+
"loss": 0.0152,
|
1208 |
+
"step": 1460
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 11.31,
|
1212 |
+
"learning_rate": 4.923076923076924e-05,
|
1213 |
+
"loss": 0.006,
|
1214 |
+
"step": 1470
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 11.38,
|
1218 |
+
"learning_rate": 4.8205128205128205e-05,
|
1219 |
+
"loss": 0.0115,
|
1220 |
+
"step": 1480
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 11.38,
|
1224 |
+
"eval_accuracy": 0.7081174438687392,
|
1225 |
+
"eval_loss": 1.3893637657165527,
|
1226 |
+
"eval_runtime": 21.0579,
|
1227 |
+
"eval_samples_per_second": 54.991,
|
1228 |
+
"eval_steps_per_second": 6.886,
|
1229 |
+
"step": 1480
|
1230 |
+
},
|
1231 |
+
{
|
1232 |
+
"epoch": 11.46,
|
1233 |
+
"learning_rate": 4.717948717948718e-05,
|
1234 |
+
"loss": 0.0062,
|
1235 |
+
"step": 1490
|
1236 |
+
},
|
1237 |
+
{
|
1238 |
+
"epoch": 11.54,
|
1239 |
+
"learning_rate": 4.615384615384616e-05,
|
1240 |
+
"loss": 0.0058,
|
1241 |
+
"step": 1500
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 11.62,
|
1245 |
+
"learning_rate": 4.512820512820513e-05,
|
1246 |
+
"loss": 0.0058,
|
1247 |
+
"step": 1510
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 11.69,
|
1251 |
+
"learning_rate": 4.4102564102564104e-05,
|
1252 |
+
"loss": 0.0062,
|
1253 |
+
"step": 1520
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 11.69,
|
1257 |
+
"eval_accuracy": 0.7072538860103627,
|
1258 |
+
"eval_loss": 1.3909190893173218,
|
1259 |
+
"eval_runtime": 20.5699,
|
1260 |
+
"eval_samples_per_second": 56.296,
|
1261 |
+
"eval_steps_per_second": 7.049,
|
1262 |
+
"step": 1520
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 11.77,
|
1266 |
+
"learning_rate": 4.3076923076923084e-05,
|
1267 |
+
"loss": 0.0171,
|
1268 |
+
"step": 1530
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 11.85,
|
1272 |
+
"learning_rate": 4.205128205128206e-05,
|
1273 |
+
"loss": 0.0159,
|
1274 |
+
"step": 1540
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 11.92,
|
1278 |
+
"learning_rate": 4.1025641025641023e-05,
|
1279 |
+
"loss": 0.0054,
|
1280 |
+
"step": 1550
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 12.0,
|
1284 |
+
"learning_rate": 4e-05,
|
1285 |
+
"loss": 0.0055,
|
1286 |
+
"step": 1560
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 12.0,
|
1290 |
+
"eval_accuracy": 0.7124352331606217,
|
1291 |
+
"eval_loss": 1.3742793798446655,
|
1292 |
+
"eval_runtime": 20.0602,
|
1293 |
+
"eval_samples_per_second": 57.726,
|
1294 |
+
"eval_steps_per_second": 7.228,
|
1295 |
+
"step": 1560
|
1296 |
+
},
|
1297 |
+
{
|
1298 |
+
"epoch": 12.08,
|
1299 |
+
"learning_rate": 3.8974358974358976e-05,
|
1300 |
+
"loss": 0.0056,
|
1301 |
+
"step": 1570
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 12.15,
|
1305 |
+
"learning_rate": 3.794871794871795e-05,
|
1306 |
+
"loss": 0.0234,
|
1307 |
+
"step": 1580
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 12.23,
|
1311 |
+
"learning_rate": 3.692307692307693e-05,
|
1312 |
+
"loss": 0.0053,
|
1313 |
+
"step": 1590
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 12.31,
|
1317 |
+
"learning_rate": 3.58974358974359e-05,
|
1318 |
+
"loss": 0.0054,
|
1319 |
+
"step": 1600
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 12.31,
|
1323 |
+
"eval_accuracy": 0.7158894645941278,
|
1324 |
+
"eval_loss": 1.3830854892730713,
|
1325 |
+
"eval_runtime": 20.2514,
|
1326 |
+
"eval_samples_per_second": 57.181,
|
1327 |
+
"eval_steps_per_second": 7.16,
|
1328 |
+
"step": 1600
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 12.38,
|
1332 |
+
"learning_rate": 3.487179487179487e-05,
|
1333 |
+
"loss": 0.0052,
|
1334 |
+
"step": 1610
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 12.46,
|
1338 |
+
"learning_rate": 3.384615384615385e-05,
|
1339 |
+
"loss": 0.0052,
|
1340 |
+
"step": 1620
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 12.54,
|
1344 |
+
"learning_rate": 3.282051282051282e-05,
|
1345 |
+
"loss": 0.0056,
|
1346 |
+
"step": 1630
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 12.62,
|
1350 |
+
"learning_rate": 3.1794871794871795e-05,
|
1351 |
+
"loss": 0.0054,
|
1352 |
+
"step": 1640
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 12.62,
|
1356 |
+
"eval_accuracy": 0.7167530224525043,
|
1357 |
+
"eval_loss": 1.3866362571716309,
|
1358 |
+
"eval_runtime": 21.0166,
|
1359 |
+
"eval_samples_per_second": 55.099,
|
1360 |
+
"eval_steps_per_second": 6.899,
|
1361 |
+
"step": 1640
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 12.69,
|
1365 |
+
"learning_rate": 3.0769230769230774e-05,
|
1366 |
+
"loss": 0.0052,
|
1367 |
+
"step": 1650
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 12.77,
|
1371 |
+
"learning_rate": 2.9743589743589744e-05,
|
1372 |
+
"loss": 0.0052,
|
1373 |
+
"step": 1660
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 12.85,
|
1377 |
+
"learning_rate": 2.8717948717948717e-05,
|
1378 |
+
"loss": 0.0058,
|
1379 |
+
"step": 1670
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 12.92,
|
1383 |
+
"learning_rate": 2.7692307692307694e-05,
|
1384 |
+
"loss": 0.0147,
|
1385 |
+
"step": 1680
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 12.92,
|
1389 |
+
"eval_accuracy": 0.7150259067357513,
|
1390 |
+
"eval_loss": 1.391139030456543,
|
1391 |
+
"eval_runtime": 20.4472,
|
1392 |
+
"eval_samples_per_second": 56.634,
|
1393 |
+
"eval_steps_per_second": 7.091,
|
1394 |
+
"step": 1680
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 13.0,
|
1398 |
+
"learning_rate": 2.6666666666666667e-05,
|
1399 |
+
"loss": 0.0051,
|
1400 |
+
"step": 1690
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 13.08,
|
1404 |
+
"learning_rate": 2.564102564102564e-05,
|
1405 |
+
"loss": 0.0144,
|
1406 |
+
"step": 1700
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 13.15,
|
1410 |
+
"learning_rate": 2.461538461538462e-05,
|
1411 |
+
"loss": 0.0052,
|
1412 |
+
"step": 1710
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 13.23,
|
1416 |
+
"learning_rate": 2.358974358974359e-05,
|
1417 |
+
"loss": 0.0058,
|
1418 |
+
"step": 1720
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 13.23,
|
1422 |
+
"eval_accuracy": 0.7141623488773747,
|
1423 |
+
"eval_loss": 1.3986831903457642,
|
1424 |
+
"eval_runtime": 20.1538,
|
1425 |
+
"eval_samples_per_second": 57.458,
|
1426 |
+
"eval_steps_per_second": 7.195,
|
1427 |
+
"step": 1720
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 13.31,
|
1431 |
+
"learning_rate": 2.2564102564102566e-05,
|
1432 |
+
"loss": 0.0047,
|
1433 |
+
"step": 1730
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 13.38,
|
1437 |
+
"learning_rate": 2.1538461538461542e-05,
|
1438 |
+
"loss": 0.0053,
|
1439 |
+
"step": 1740
|
1440 |
+
},
|
1441 |
+
{
|
1442 |
+
"epoch": 13.46,
|
1443 |
+
"learning_rate": 2.0512820512820512e-05,
|
1444 |
+
"loss": 0.005,
|
1445 |
+
"step": 1750
|
1446 |
+
},
|
1447 |
+
{
|
1448 |
+
"epoch": 13.54,
|
1449 |
+
"learning_rate": 1.9487179487179488e-05,
|
1450 |
+
"loss": 0.0096,
|
1451 |
+
"step": 1760
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 13.54,
|
1455 |
+
"eval_accuracy": 0.7132987910189983,
|
1456 |
+
"eval_loss": 1.3994832038879395,
|
1457 |
+
"eval_runtime": 20.378,
|
1458 |
+
"eval_samples_per_second": 56.826,
|
1459 |
+
"eval_steps_per_second": 7.116,
|
1460 |
+
"step": 1760
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 13.62,
|
1464 |
+
"learning_rate": 1.8461538461538465e-05,
|
1465 |
+
"loss": 0.0055,
|
1466 |
+
"step": 1770
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 13.69,
|
1470 |
+
"learning_rate": 1.7435897435897434e-05,
|
1471 |
+
"loss": 0.0112,
|
1472 |
+
"step": 1780
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 13.77,
|
1476 |
+
"learning_rate": 1.641025641025641e-05,
|
1477 |
+
"loss": 0.0047,
|
1478 |
+
"step": 1790
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 13.85,
|
1482 |
+
"learning_rate": 1.5384615384615387e-05,
|
1483 |
+
"loss": 0.0048,
|
1484 |
+
"step": 1800
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 13.85,
|
1488 |
+
"eval_accuracy": 0.7115716753022453,
|
1489 |
+
"eval_loss": 1.401125192642212,
|
1490 |
+
"eval_runtime": 20.4927,
|
1491 |
+
"eval_samples_per_second": 56.508,
|
1492 |
+
"eval_steps_per_second": 7.076,
|
1493 |
+
"step": 1800
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 13.92,
|
1497 |
+
"learning_rate": 1.4358974358974359e-05,
|
1498 |
+
"loss": 0.0053,
|
1499 |
+
"step": 1810
|
1500 |
+
},
|
1501 |
+
{
|
1502 |
+
"epoch": 14.0,
|
1503 |
+
"learning_rate": 1.3333333333333333e-05,
|
1504 |
+
"loss": 0.0047,
|
1505 |
+
"step": 1820
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 14.08,
|
1509 |
+
"learning_rate": 1.230769230769231e-05,
|
1510 |
+
"loss": 0.0146,
|
1511 |
+
"step": 1830
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 14.15,
|
1515 |
+
"learning_rate": 1.1282051282051283e-05,
|
1516 |
+
"loss": 0.0054,
|
1517 |
+
"step": 1840
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"epoch": 14.15,
|
1521 |
+
"eval_accuracy": 0.7115716753022453,
|
1522 |
+
"eval_loss": 1.4026780128479004,
|
1523 |
+
"eval_runtime": 20.8793,
|
1524 |
+
"eval_samples_per_second": 55.462,
|
1525 |
+
"eval_steps_per_second": 6.945,
|
1526 |
+
"step": 1840
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 14.23,
|
1530 |
+
"learning_rate": 1.0256410256410256e-05,
|
1531 |
+
"loss": 0.0046,
|
1532 |
+
"step": 1850
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 14.31,
|
1536 |
+
"learning_rate": 9.230769230769232e-06,
|
1537 |
+
"loss": 0.0046,
|
1538 |
+
"step": 1860
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 14.38,
|
1542 |
+
"learning_rate": 8.205128205128205e-06,
|
1543 |
+
"loss": 0.005,
|
1544 |
+
"step": 1870
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 14.46,
|
1548 |
+
"learning_rate": 7.179487179487179e-06,
|
1549 |
+
"loss": 0.0048,
|
1550 |
+
"step": 1880
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 14.46,
|
1554 |
+
"eval_accuracy": 0.7115716753022453,
|
1555 |
+
"eval_loss": 1.403483510017395,
|
1556 |
+
"eval_runtime": 21.9216,
|
1557 |
+
"eval_samples_per_second": 52.825,
|
1558 |
+
"eval_steps_per_second": 6.614,
|
1559 |
+
"step": 1880
|
1560 |
+
},
|
1561 |
+
{
|
1562 |
+
"epoch": 14.54,
|
1563 |
+
"learning_rate": 6.153846153846155e-06,
|
1564 |
+
"loss": 0.0089,
|
1565 |
+
"step": 1890
|
1566 |
+
},
|
1567 |
+
{
|
1568 |
+
"epoch": 14.62,
|
1569 |
+
"learning_rate": 5.128205128205128e-06,
|
1570 |
+
"loss": 0.0047,
|
1571 |
+
"step": 1900
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 14.69,
|
1575 |
+
"learning_rate": 4.102564102564103e-06,
|
1576 |
+
"loss": 0.0048,
|
1577 |
+
"step": 1910
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 14.77,
|
1581 |
+
"learning_rate": 3.0769230769230774e-06,
|
1582 |
+
"loss": 0.0047,
|
1583 |
+
"step": 1920
|
1584 |
+
},
|
1585 |
+
{
|
1586 |
+
"epoch": 14.77,
|
1587 |
+
"eval_accuracy": 0.7124352331606217,
|
1588 |
+
"eval_loss": 1.4049346446990967,
|
1589 |
+
"eval_runtime": 20.2662,
|
1590 |
+
"eval_samples_per_second": 57.139,
|
1591 |
+
"eval_steps_per_second": 7.155,
|
1592 |
+
"step": 1920
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 14.85,
|
1596 |
+
"learning_rate": 2.0512820512820513e-06,
|
1597 |
+
"loss": 0.005,
|
1598 |
+
"step": 1930
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 14.92,
|
1602 |
+
"learning_rate": 1.0256410256410257e-06,
|
1603 |
+
"loss": 0.0049,
|
1604 |
+
"step": 1940
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 15.0,
|
1608 |
+
"learning_rate": 0.0,
|
1609 |
+
"loss": 0.0109,
|
1610 |
+
"step": 1950
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 15.0,
|
1614 |
+
"step": 1950,
|
1615 |
+
"total_flos": 2.4159665336144486e+18,
|
1616 |
+
"train_loss": 0.33013623780929124,
|
1617 |
+
"train_runtime": 2443.4946,
|
1618 |
+
"train_samples_per_second": 12.756,
|
1619 |
+
"train_steps_per_second": 0.798
|
1620 |
+
}
|
1621 |
+
],
|
1622 |
+
"max_steps": 1950,
|
1623 |
+
"num_train_epochs": 15,
|
1624 |
+
"total_flos": 2.4159665336144486e+18,
|
1625 |
+
"trial_name": null,
|
1626 |
+
"trial_params": null
|
1627 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d4a67954eb3bb115d5fc916b53e59475d474112dfa86034717eadf5ee507e440
|
3 |
+
size 3963
|