Upload folder using huggingface_hub
Browse files- checkpoint-4900/config.json +38 -0
- checkpoint-4900/model.safetensors +3 -0
- checkpoint-4900/optimizer.pt +3 -0
- checkpoint-4900/preprocessor_config.json +22 -0
- checkpoint-4900/rng_state.pth +3 -0
- checkpoint-4900/scheduler.pt +3 -0
- checkpoint-4900/trainer_state.json +1096 -0
- checkpoint-4900/training_args.bin +3 -0
- config.json +38 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- training_args.bin +3 -0
checkpoint-4900/config.json
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "curly",
|
13 |
+
"1": "dreadlocks",
|
14 |
+
"2": "kinky",
|
15 |
+
"3": "straight",
|
16 |
+
"4": "wavy"
|
17 |
+
},
|
18 |
+
"image_size": 224,
|
19 |
+
"initializer_range": 0.02,
|
20 |
+
"intermediate_size": 3072,
|
21 |
+
"label2id": {
|
22 |
+
"curly": 0,
|
23 |
+
"dreadlocks": 1,
|
24 |
+
"kinky": 2,
|
25 |
+
"straight": 3,
|
26 |
+
"wavy": 4
|
27 |
+
},
|
28 |
+
"layer_norm_eps": 1e-12,
|
29 |
+
"model_type": "vit",
|
30 |
+
"num_attention_heads": 12,
|
31 |
+
"num_channels": 3,
|
32 |
+
"num_hidden_layers": 12,
|
33 |
+
"patch_size": 16,
|
34 |
+
"problem_type": "single_label_classification",
|
35 |
+
"qkv_bias": true,
|
36 |
+
"torch_dtype": "float32",
|
37 |
+
"transformers_version": "4.45.2"
|
38 |
+
}
|
checkpoint-4900/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:880839388dee970fc3c9a41a9ea13295c6093fea1653d77780af5a05743c9cf2
|
3 |
+
size 343233204
|
checkpoint-4900/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a02b69d9cb3517d77d6efff670a7edd44fb0565ba5a9d703e54737429f44a9ff
|
3 |
+
size 686587322
|
checkpoint-4900/preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
checkpoint-4900/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fa6d96f7ee624f7c57ede23ba0321ef010817bd064e65eb4db242f525babee44
|
3 |
+
size 14244
|
checkpoint-4900/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cc8ff882b25de7a093a1ca37813f32aa219aeac50ec93044513164d388e33b66
|
3 |
+
size 1064
|
checkpoint-4900/trainer_state.json
ADDED
@@ -0,0 +1,1096 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.5298713445663452,
|
3 |
+
"best_model_checkpoint": "hair_type_image_detection/checkpoint-4900",
|
4 |
+
"epoch": 100.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 4900,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"eval_accuracy": 0.17704280155642024,
|
14 |
+
"eval_loss": 1.6219326257705688,
|
15 |
+
"eval_model_preparation_time": 0.0053,
|
16 |
+
"eval_runtime": 16.3274,
|
17 |
+
"eval_samples_per_second": 62.962,
|
18 |
+
"eval_steps_per_second": 7.901,
|
19 |
+
"step": 49
|
20 |
+
},
|
21 |
+
{
|
22 |
+
"epoch": 2.0,
|
23 |
+
"eval_accuracy": 0.22568093385214008,
|
24 |
+
"eval_loss": 1.6067438125610352,
|
25 |
+
"eval_model_preparation_time": 0.0053,
|
26 |
+
"eval_runtime": 16.2468,
|
27 |
+
"eval_samples_per_second": 63.274,
|
28 |
+
"eval_steps_per_second": 7.94,
|
29 |
+
"step": 98
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 3.0,
|
33 |
+
"eval_accuracy": 0.27529182879377434,
|
34 |
+
"eval_loss": 1.5912580490112305,
|
35 |
+
"eval_model_preparation_time": 0.0053,
|
36 |
+
"eval_runtime": 16.4806,
|
37 |
+
"eval_samples_per_second": 62.377,
|
38 |
+
"eval_steps_per_second": 7.827,
|
39 |
+
"step": 147
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 4.0,
|
43 |
+
"eval_accuracy": 0.33073929961089493,
|
44 |
+
"eval_loss": 1.5748045444488525,
|
45 |
+
"eval_model_preparation_time": 0.0053,
|
46 |
+
"eval_runtime": 16.0231,
|
47 |
+
"eval_samples_per_second": 64.157,
|
48 |
+
"eval_steps_per_second": 8.051,
|
49 |
+
"step": 196
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 5.0,
|
53 |
+
"eval_accuracy": 0.39299610894941633,
|
54 |
+
"eval_loss": 1.5561603307724,
|
55 |
+
"eval_model_preparation_time": 0.0053,
|
56 |
+
"eval_runtime": 16.3268,
|
57 |
+
"eval_samples_per_second": 62.964,
|
58 |
+
"eval_steps_per_second": 7.901,
|
59 |
+
"step": 245
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 6.0,
|
63 |
+
"eval_accuracy": 0.46400778210116733,
|
64 |
+
"eval_loss": 1.5354892015457153,
|
65 |
+
"eval_model_preparation_time": 0.0053,
|
66 |
+
"eval_runtime": 16.3682,
|
67 |
+
"eval_samples_per_second": 62.805,
|
68 |
+
"eval_steps_per_second": 7.881,
|
69 |
+
"step": 294
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 7.0,
|
73 |
+
"eval_accuracy": 0.5223735408560312,
|
74 |
+
"eval_loss": 1.5132097005844116,
|
75 |
+
"eval_model_preparation_time": 0.0053,
|
76 |
+
"eval_runtime": 16.1784,
|
77 |
+
"eval_samples_per_second": 63.542,
|
78 |
+
"eval_steps_per_second": 7.974,
|
79 |
+
"step": 343
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 8.0,
|
83 |
+
"eval_accuracy": 0.5700389105058365,
|
84 |
+
"eval_loss": 1.4904340505599976,
|
85 |
+
"eval_model_preparation_time": 0.0053,
|
86 |
+
"eval_runtime": 15.9362,
|
87 |
+
"eval_samples_per_second": 64.507,
|
88 |
+
"eval_steps_per_second": 8.095,
|
89 |
+
"step": 392
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 9.0,
|
93 |
+
"eval_accuracy": 0.6138132295719845,
|
94 |
+
"eval_loss": 1.4679334163665771,
|
95 |
+
"eval_model_preparation_time": 0.0053,
|
96 |
+
"eval_runtime": 16.4082,
|
97 |
+
"eval_samples_per_second": 62.652,
|
98 |
+
"eval_steps_per_second": 7.862,
|
99 |
+
"step": 441
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 10.0,
|
103 |
+
"eval_accuracy": 0.6517509727626459,
|
104 |
+
"eval_loss": 1.4443553686141968,
|
105 |
+
"eval_model_preparation_time": 0.0053,
|
106 |
+
"eval_runtime": 16.0563,
|
107 |
+
"eval_samples_per_second": 64.025,
|
108 |
+
"eval_steps_per_second": 8.034,
|
109 |
+
"step": 490
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 10.204081632653061,
|
113 |
+
"grad_norm": 1.3639816045761108,
|
114 |
+
"learning_rate": 9.072164948453608e-07,
|
115 |
+
"loss": 1.5205,
|
116 |
+
"step": 500
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 11.0,
|
120 |
+
"eval_accuracy": 0.683852140077821,
|
121 |
+
"eval_loss": 1.4206485748291016,
|
122 |
+
"eval_model_preparation_time": 0.0053,
|
123 |
+
"eval_runtime": 16.0088,
|
124 |
+
"eval_samples_per_second": 64.214,
|
125 |
+
"eval_steps_per_second": 8.058,
|
126 |
+
"step": 539
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 12.0,
|
130 |
+
"eval_accuracy": 0.7178988326848249,
|
131 |
+
"eval_loss": 1.3944063186645508,
|
132 |
+
"eval_model_preparation_time": 0.0053,
|
133 |
+
"eval_runtime": 15.9211,
|
134 |
+
"eval_samples_per_second": 64.568,
|
135 |
+
"eval_steps_per_second": 8.102,
|
136 |
+
"step": 588
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 13.0,
|
140 |
+
"eval_accuracy": 0.7441634241245136,
|
141 |
+
"eval_loss": 1.3676106929779053,
|
142 |
+
"eval_model_preparation_time": 0.0053,
|
143 |
+
"eval_runtime": 16.1365,
|
144 |
+
"eval_samples_per_second": 63.706,
|
145 |
+
"eval_steps_per_second": 7.994,
|
146 |
+
"step": 637
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 14.0,
|
150 |
+
"eval_accuracy": 0.7684824902723736,
|
151 |
+
"eval_loss": 1.3409146070480347,
|
152 |
+
"eval_model_preparation_time": 0.0053,
|
153 |
+
"eval_runtime": 16.0749,
|
154 |
+
"eval_samples_per_second": 63.95,
|
155 |
+
"eval_steps_per_second": 8.025,
|
156 |
+
"step": 686
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 15.0,
|
160 |
+
"eval_accuracy": 0.7830739299610895,
|
161 |
+
"eval_loss": 1.312709927558899,
|
162 |
+
"eval_model_preparation_time": 0.0053,
|
163 |
+
"eval_runtime": 16.1852,
|
164 |
+
"eval_samples_per_second": 63.515,
|
165 |
+
"eval_steps_per_second": 7.97,
|
166 |
+
"step": 735
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 16.0,
|
170 |
+
"eval_accuracy": 0.7976653696498055,
|
171 |
+
"eval_loss": 1.2852919101715088,
|
172 |
+
"eval_model_preparation_time": 0.0053,
|
173 |
+
"eval_runtime": 16.5033,
|
174 |
+
"eval_samples_per_second": 62.291,
|
175 |
+
"eval_steps_per_second": 7.817,
|
176 |
+
"step": 784
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 17.0,
|
180 |
+
"eval_accuracy": 0.8151750972762646,
|
181 |
+
"eval_loss": 1.2579333782196045,
|
182 |
+
"eval_model_preparation_time": 0.0053,
|
183 |
+
"eval_runtime": 16.716,
|
184 |
+
"eval_samples_per_second": 61.498,
|
185 |
+
"eval_steps_per_second": 7.717,
|
186 |
+
"step": 833
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 18.0,
|
190 |
+
"eval_accuracy": 0.8258754863813229,
|
191 |
+
"eval_loss": 1.2285292148590088,
|
192 |
+
"eval_model_preparation_time": 0.0053,
|
193 |
+
"eval_runtime": 16.3546,
|
194 |
+
"eval_samples_per_second": 62.857,
|
195 |
+
"eval_steps_per_second": 7.888,
|
196 |
+
"step": 882
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 19.0,
|
200 |
+
"eval_accuracy": 0.8317120622568094,
|
201 |
+
"eval_loss": 1.2019933462142944,
|
202 |
+
"eval_model_preparation_time": 0.0053,
|
203 |
+
"eval_runtime": 16.435,
|
204 |
+
"eval_samples_per_second": 62.549,
|
205 |
+
"eval_steps_per_second": 7.849,
|
206 |
+
"step": 931
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 20.0,
|
210 |
+
"eval_accuracy": 0.8404669260700389,
|
211 |
+
"eval_loss": 1.1748104095458984,
|
212 |
+
"eval_model_preparation_time": 0.0053,
|
213 |
+
"eval_runtime": 16.4968,
|
214 |
+
"eval_samples_per_second": 62.315,
|
215 |
+
"eval_steps_per_second": 7.82,
|
216 |
+
"step": 980
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 20.408163265306122,
|
220 |
+
"grad_norm": 1.599041223526001,
|
221 |
+
"learning_rate": 8.041237113402062e-07,
|
222 |
+
"loss": 1.2347,
|
223 |
+
"step": 1000
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 21.0,
|
227 |
+
"eval_accuracy": 0.8492217898832685,
|
228 |
+
"eval_loss": 1.1474989652633667,
|
229 |
+
"eval_model_preparation_time": 0.0053,
|
230 |
+
"eval_runtime": 16.0812,
|
231 |
+
"eval_samples_per_second": 63.925,
|
232 |
+
"eval_steps_per_second": 8.022,
|
233 |
+
"step": 1029
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 22.0,
|
237 |
+
"eval_accuracy": 0.8521400778210116,
|
238 |
+
"eval_loss": 1.121047019958496,
|
239 |
+
"eval_model_preparation_time": 0.0053,
|
240 |
+
"eval_runtime": 16.0658,
|
241 |
+
"eval_samples_per_second": 63.987,
|
242 |
+
"eval_steps_per_second": 8.03,
|
243 |
+
"step": 1078
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 23.0,
|
247 |
+
"eval_accuracy": 0.8628404669260701,
|
248 |
+
"eval_loss": 1.0952664613723755,
|
249 |
+
"eval_model_preparation_time": 0.0053,
|
250 |
+
"eval_runtime": 16.283,
|
251 |
+
"eval_samples_per_second": 63.133,
|
252 |
+
"eval_steps_per_second": 7.922,
|
253 |
+
"step": 1127
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 24.0,
|
257 |
+
"eval_accuracy": 0.8638132295719845,
|
258 |
+
"eval_loss": 1.070285439491272,
|
259 |
+
"eval_model_preparation_time": 0.0053,
|
260 |
+
"eval_runtime": 15.9544,
|
261 |
+
"eval_samples_per_second": 64.434,
|
262 |
+
"eval_steps_per_second": 8.086,
|
263 |
+
"step": 1176
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 25.0,
|
267 |
+
"eval_accuracy": 0.8638132295719845,
|
268 |
+
"eval_loss": 1.046401023864746,
|
269 |
+
"eval_model_preparation_time": 0.0053,
|
270 |
+
"eval_runtime": 16.1019,
|
271 |
+
"eval_samples_per_second": 63.843,
|
272 |
+
"eval_steps_per_second": 8.011,
|
273 |
+
"step": 1225
|
274 |
+
},
|
275 |
+
{
|
276 |
+
"epoch": 26.0,
|
277 |
+
"eval_accuracy": 0.8686770428015564,
|
278 |
+
"eval_loss": 1.0234460830688477,
|
279 |
+
"eval_model_preparation_time": 0.0053,
|
280 |
+
"eval_runtime": 16.0897,
|
281 |
+
"eval_samples_per_second": 63.892,
|
282 |
+
"eval_steps_per_second": 8.018,
|
283 |
+
"step": 1274
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 27.0,
|
287 |
+
"eval_accuracy": 0.8696498054474708,
|
288 |
+
"eval_loss": 1.0003376007080078,
|
289 |
+
"eval_model_preparation_time": 0.0053,
|
290 |
+
"eval_runtime": 16.2835,
|
291 |
+
"eval_samples_per_second": 63.131,
|
292 |
+
"eval_steps_per_second": 7.922,
|
293 |
+
"step": 1323
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 28.0,
|
297 |
+
"eval_accuracy": 0.8696498054474708,
|
298 |
+
"eval_loss": 0.9786379337310791,
|
299 |
+
"eval_model_preparation_time": 0.0053,
|
300 |
+
"eval_runtime": 16.2428,
|
301 |
+
"eval_samples_per_second": 63.29,
|
302 |
+
"eval_steps_per_second": 7.942,
|
303 |
+
"step": 1372
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 29.0,
|
307 |
+
"eval_accuracy": 0.8715953307392996,
|
308 |
+
"eval_loss": 0.9573078751564026,
|
309 |
+
"eval_model_preparation_time": 0.0053,
|
310 |
+
"eval_runtime": 15.9987,
|
311 |
+
"eval_samples_per_second": 64.255,
|
312 |
+
"eval_steps_per_second": 8.063,
|
313 |
+
"step": 1421
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 30.0,
|
317 |
+
"eval_accuracy": 0.872568093385214,
|
318 |
+
"eval_loss": 0.9362879395484924,
|
319 |
+
"eval_model_preparation_time": 0.0053,
|
320 |
+
"eval_runtime": 16.1691,
|
321 |
+
"eval_samples_per_second": 63.578,
|
322 |
+
"eval_steps_per_second": 7.978,
|
323 |
+
"step": 1470
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 30.612244897959183,
|
327 |
+
"grad_norm": 1.5271226167678833,
|
328 |
+
"learning_rate": 7.010309278350515e-07,
|
329 |
+
"loss": 0.9467,
|
330 |
+
"step": 1500
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 31.0,
|
334 |
+
"eval_accuracy": 0.8754863813229572,
|
335 |
+
"eval_loss": 0.9171885848045349,
|
336 |
+
"eval_model_preparation_time": 0.0053,
|
337 |
+
"eval_runtime": 16.3696,
|
338 |
+
"eval_samples_per_second": 62.799,
|
339 |
+
"eval_steps_per_second": 7.88,
|
340 |
+
"step": 1519
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 32.0,
|
344 |
+
"eval_accuracy": 0.8803501945525292,
|
345 |
+
"eval_loss": 0.8980955481529236,
|
346 |
+
"eval_model_preparation_time": 0.0053,
|
347 |
+
"eval_runtime": 16.4392,
|
348 |
+
"eval_samples_per_second": 62.533,
|
349 |
+
"eval_steps_per_second": 7.847,
|
350 |
+
"step": 1568
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 33.0,
|
354 |
+
"eval_accuracy": 0.8861867704280155,
|
355 |
+
"eval_loss": 0.8809771537780762,
|
356 |
+
"eval_model_preparation_time": 0.0053,
|
357 |
+
"eval_runtime": 16.4449,
|
358 |
+
"eval_samples_per_second": 62.512,
|
359 |
+
"eval_steps_per_second": 7.844,
|
360 |
+
"step": 1617
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 34.0,
|
364 |
+
"eval_accuracy": 0.8861867704280155,
|
365 |
+
"eval_loss": 0.8635137677192688,
|
366 |
+
"eval_model_preparation_time": 0.0053,
|
367 |
+
"eval_runtime": 16.4485,
|
368 |
+
"eval_samples_per_second": 62.498,
|
369 |
+
"eval_steps_per_second": 7.843,
|
370 |
+
"step": 1666
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 35.0,
|
374 |
+
"eval_accuracy": 0.8881322957198443,
|
375 |
+
"eval_loss": 0.8468510508537292,
|
376 |
+
"eval_model_preparation_time": 0.0053,
|
377 |
+
"eval_runtime": 16.2536,
|
378 |
+
"eval_samples_per_second": 63.247,
|
379 |
+
"eval_steps_per_second": 7.937,
|
380 |
+
"step": 1715
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 36.0,
|
384 |
+
"eval_accuracy": 0.8881322957198443,
|
385 |
+
"eval_loss": 0.8328165411949158,
|
386 |
+
"eval_model_preparation_time": 0.0053,
|
387 |
+
"eval_runtime": 16.503,
|
388 |
+
"eval_samples_per_second": 62.292,
|
389 |
+
"eval_steps_per_second": 7.817,
|
390 |
+
"step": 1764
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 37.0,
|
394 |
+
"eval_accuracy": 0.8881322957198443,
|
395 |
+
"eval_loss": 0.8181366920471191,
|
396 |
+
"eval_model_preparation_time": 0.0053,
|
397 |
+
"eval_runtime": 16.8306,
|
398 |
+
"eval_samples_per_second": 61.079,
|
399 |
+
"eval_steps_per_second": 7.665,
|
400 |
+
"step": 1813
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 38.0,
|
404 |
+
"eval_accuracy": 0.8891050583657587,
|
405 |
+
"eval_loss": 0.8040880560874939,
|
406 |
+
"eval_model_preparation_time": 0.0053,
|
407 |
+
"eval_runtime": 16.772,
|
408 |
+
"eval_samples_per_second": 61.293,
|
409 |
+
"eval_steps_per_second": 7.691,
|
410 |
+
"step": 1862
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 39.0,
|
414 |
+
"eval_accuracy": 0.8891050583657587,
|
415 |
+
"eval_loss": 0.790228009223938,
|
416 |
+
"eval_model_preparation_time": 0.0053,
|
417 |
+
"eval_runtime": 16.3652,
|
418 |
+
"eval_samples_per_second": 62.816,
|
419 |
+
"eval_steps_per_second": 7.883,
|
420 |
+
"step": 1911
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 40.0,
|
424 |
+
"eval_accuracy": 0.8910505836575876,
|
425 |
+
"eval_loss": 0.7775859832763672,
|
426 |
+
"eval_model_preparation_time": 0.0053,
|
427 |
+
"eval_runtime": 16.2631,
|
428 |
+
"eval_samples_per_second": 63.211,
|
429 |
+
"eval_steps_per_second": 7.932,
|
430 |
+
"step": 1960
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 40.816326530612244,
|
434 |
+
"grad_norm": 1.7460684776306152,
|
435 |
+
"learning_rate": 5.979381443298969e-07,
|
436 |
+
"loss": 0.7398,
|
437 |
+
"step": 2000
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 41.0,
|
441 |
+
"eval_accuracy": 0.892023346303502,
|
442 |
+
"eval_loss": 0.766076922416687,
|
443 |
+
"eval_model_preparation_time": 0.0053,
|
444 |
+
"eval_runtime": 16.3183,
|
445 |
+
"eval_samples_per_second": 62.997,
|
446 |
+
"eval_steps_per_second": 7.905,
|
447 |
+
"step": 2009
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 42.0,
|
451 |
+
"eval_accuracy": 0.8949416342412452,
|
452 |
+
"eval_loss": 0.7547051906585693,
|
453 |
+
"eval_model_preparation_time": 0.0053,
|
454 |
+
"eval_runtime": 16.274,
|
455 |
+
"eval_samples_per_second": 63.168,
|
456 |
+
"eval_steps_per_second": 7.927,
|
457 |
+
"step": 2058
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 43.0,
|
461 |
+
"eval_accuracy": 0.8998054474708171,
|
462 |
+
"eval_loss": 0.7428992986679077,
|
463 |
+
"eval_model_preparation_time": 0.0053,
|
464 |
+
"eval_runtime": 16.2531,
|
465 |
+
"eval_samples_per_second": 63.25,
|
466 |
+
"eval_steps_per_second": 7.937,
|
467 |
+
"step": 2107
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 44.0,
|
471 |
+
"eval_accuracy": 0.9027237354085603,
|
472 |
+
"eval_loss": 0.7334992289543152,
|
473 |
+
"eval_model_preparation_time": 0.0053,
|
474 |
+
"eval_runtime": 16.1775,
|
475 |
+
"eval_samples_per_second": 63.545,
|
476 |
+
"eval_steps_per_second": 7.974,
|
477 |
+
"step": 2156
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 45.0,
|
481 |
+
"eval_accuracy": 0.9027237354085603,
|
482 |
+
"eval_loss": 0.7230122089385986,
|
483 |
+
"eval_model_preparation_time": 0.0053,
|
484 |
+
"eval_runtime": 16.4977,
|
485 |
+
"eval_samples_per_second": 62.312,
|
486 |
+
"eval_steps_per_second": 7.819,
|
487 |
+
"step": 2205
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 46.0,
|
491 |
+
"eval_accuracy": 0.9056420233463035,
|
492 |
+
"eval_loss": 0.7135947942733765,
|
493 |
+
"eval_model_preparation_time": 0.0053,
|
494 |
+
"eval_runtime": 16.7331,
|
495 |
+
"eval_samples_per_second": 61.435,
|
496 |
+
"eval_steps_per_second": 7.709,
|
497 |
+
"step": 2254
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 47.0,
|
501 |
+
"eval_accuracy": 0.9085603112840467,
|
502 |
+
"eval_loss": 0.7030473351478577,
|
503 |
+
"eval_model_preparation_time": 0.0053,
|
504 |
+
"eval_runtime": 16.265,
|
505 |
+
"eval_samples_per_second": 63.203,
|
506 |
+
"eval_steps_per_second": 7.931,
|
507 |
+
"step": 2303
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 48.0,
|
511 |
+
"eval_accuracy": 0.9066147859922179,
|
512 |
+
"eval_loss": 0.694833517074585,
|
513 |
+
"eval_model_preparation_time": 0.0053,
|
514 |
+
"eval_runtime": 16.6017,
|
515 |
+
"eval_samples_per_second": 61.921,
|
516 |
+
"eval_steps_per_second": 7.77,
|
517 |
+
"step": 2352
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 49.0,
|
521 |
+
"eval_accuracy": 0.9075875486381323,
|
522 |
+
"eval_loss": 0.6868679523468018,
|
523 |
+
"eval_model_preparation_time": 0.0053,
|
524 |
+
"eval_runtime": 16.3769,
|
525 |
+
"eval_samples_per_second": 62.771,
|
526 |
+
"eval_steps_per_second": 7.877,
|
527 |
+
"step": 2401
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 50.0,
|
531 |
+
"eval_accuracy": 0.9105058365758755,
|
532 |
+
"eval_loss": 0.6781201958656311,
|
533 |
+
"eval_model_preparation_time": 0.0053,
|
534 |
+
"eval_runtime": 16.5365,
|
535 |
+
"eval_samples_per_second": 62.166,
|
536 |
+
"eval_steps_per_second": 7.801,
|
537 |
+
"step": 2450
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 51.0,
|
541 |
+
"eval_accuracy": 0.9114785992217899,
|
542 |
+
"eval_loss": 0.6707582473754883,
|
543 |
+
"eval_model_preparation_time": 0.0053,
|
544 |
+
"eval_runtime": 16.7029,
|
545 |
+
"eval_samples_per_second": 61.546,
|
546 |
+
"eval_steps_per_second": 7.723,
|
547 |
+
"step": 2499
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 51.02040816326531,
|
551 |
+
"grad_norm": 1.5139410495758057,
|
552 |
+
"learning_rate": 4.948453608247422e-07,
|
553 |
+
"loss": 0.6135,
|
554 |
+
"step": 2500
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 52.0,
|
558 |
+
"eval_accuracy": 0.914396887159533,
|
559 |
+
"eval_loss": 0.6635868549346924,
|
560 |
+
"eval_model_preparation_time": 0.0053,
|
561 |
+
"eval_runtime": 16.7917,
|
562 |
+
"eval_samples_per_second": 61.221,
|
563 |
+
"eval_steps_per_second": 7.682,
|
564 |
+
"step": 2548
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 53.0,
|
568 |
+
"eval_accuracy": 0.9134241245136187,
|
569 |
+
"eval_loss": 0.6572186946868896,
|
570 |
+
"eval_model_preparation_time": 0.0053,
|
571 |
+
"eval_runtime": 16.5427,
|
572 |
+
"eval_samples_per_second": 62.142,
|
573 |
+
"eval_steps_per_second": 7.798,
|
574 |
+
"step": 2597
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 54.0,
|
578 |
+
"eval_accuracy": 0.9153696498054474,
|
579 |
+
"eval_loss": 0.6508779525756836,
|
580 |
+
"eval_model_preparation_time": 0.0053,
|
581 |
+
"eval_runtime": 16.3209,
|
582 |
+
"eval_samples_per_second": 62.987,
|
583 |
+
"eval_steps_per_second": 7.904,
|
584 |
+
"step": 2646
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 55.0,
|
588 |
+
"eval_accuracy": 0.9173151750972762,
|
589 |
+
"eval_loss": 0.6439871191978455,
|
590 |
+
"eval_model_preparation_time": 0.0053,
|
591 |
+
"eval_runtime": 16.5127,
|
592 |
+
"eval_samples_per_second": 62.255,
|
593 |
+
"eval_steps_per_second": 7.812,
|
594 |
+
"step": 2695
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 56.0,
|
598 |
+
"eval_accuracy": 0.9153696498054474,
|
599 |
+
"eval_loss": 0.6389443874359131,
|
600 |
+
"eval_model_preparation_time": 0.0053,
|
601 |
+
"eval_runtime": 16.1819,
|
602 |
+
"eval_samples_per_second": 63.528,
|
603 |
+
"eval_steps_per_second": 7.972,
|
604 |
+
"step": 2744
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 57.0,
|
608 |
+
"eval_accuracy": 0.919260700389105,
|
609 |
+
"eval_loss": 0.6327943801879883,
|
610 |
+
"eval_model_preparation_time": 0.0053,
|
611 |
+
"eval_runtime": 16.6521,
|
612 |
+
"eval_samples_per_second": 61.734,
|
613 |
+
"eval_steps_per_second": 7.747,
|
614 |
+
"step": 2793
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 58.0,
|
618 |
+
"eval_accuracy": 0.9212062256809338,
|
619 |
+
"eval_loss": 0.6252166032791138,
|
620 |
+
"eval_model_preparation_time": 0.0053,
|
621 |
+
"eval_runtime": 16.374,
|
622 |
+
"eval_samples_per_second": 62.782,
|
623 |
+
"eval_steps_per_second": 7.878,
|
624 |
+
"step": 2842
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 59.0,
|
628 |
+
"eval_accuracy": 0.9202334630350194,
|
629 |
+
"eval_loss": 0.6206849217414856,
|
630 |
+
"eval_model_preparation_time": 0.0053,
|
631 |
+
"eval_runtime": 16.2753,
|
632 |
+
"eval_samples_per_second": 63.163,
|
633 |
+
"eval_steps_per_second": 7.926,
|
634 |
+
"step": 2891
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 60.0,
|
638 |
+
"eval_accuracy": 0.919260700389105,
|
639 |
+
"eval_loss": 0.6157888174057007,
|
640 |
+
"eval_model_preparation_time": 0.0053,
|
641 |
+
"eval_runtime": 16.4343,
|
642 |
+
"eval_samples_per_second": 62.552,
|
643 |
+
"eval_steps_per_second": 7.849,
|
644 |
+
"step": 2940
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 61.0,
|
648 |
+
"eval_accuracy": 0.9221789883268483,
|
649 |
+
"eval_loss": 0.6105452179908752,
|
650 |
+
"eval_model_preparation_time": 0.0053,
|
651 |
+
"eval_runtime": 16.3327,
|
652 |
+
"eval_samples_per_second": 62.941,
|
653 |
+
"eval_steps_per_second": 7.898,
|
654 |
+
"step": 2989
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 61.224489795918366,
|
658 |
+
"grad_norm": 2.1964964866638184,
|
659 |
+
"learning_rate": 3.917525773195876e-07,
|
660 |
+
"loss": 0.5351,
|
661 |
+
"step": 3000
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 62.0,
|
665 |
+
"eval_accuracy": 0.9221789883268483,
|
666 |
+
"eval_loss": 0.6059720516204834,
|
667 |
+
"eval_model_preparation_time": 0.0053,
|
668 |
+
"eval_runtime": 15.9025,
|
669 |
+
"eval_samples_per_second": 64.644,
|
670 |
+
"eval_steps_per_second": 8.112,
|
671 |
+
"step": 3038
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 63.0,
|
675 |
+
"eval_accuracy": 0.9221789883268483,
|
676 |
+
"eval_loss": 0.6012532114982605,
|
677 |
+
"eval_model_preparation_time": 0.0053,
|
678 |
+
"eval_runtime": 16.1752,
|
679 |
+
"eval_samples_per_second": 63.554,
|
680 |
+
"eval_steps_per_second": 7.975,
|
681 |
+
"step": 3087
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 64.0,
|
685 |
+
"eval_accuracy": 0.9241245136186771,
|
686 |
+
"eval_loss": 0.5974491238594055,
|
687 |
+
"eval_model_preparation_time": 0.0053,
|
688 |
+
"eval_runtime": 16.006,
|
689 |
+
"eval_samples_per_second": 64.226,
|
690 |
+
"eval_steps_per_second": 8.059,
|
691 |
+
"step": 3136
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 65.0,
|
695 |
+
"eval_accuracy": 0.9250972762645915,
|
696 |
+
"eval_loss": 0.5935858488082886,
|
697 |
+
"eval_model_preparation_time": 0.0053,
|
698 |
+
"eval_runtime": 15.9581,
|
699 |
+
"eval_samples_per_second": 64.419,
|
700 |
+
"eval_steps_per_second": 8.084,
|
701 |
+
"step": 3185
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 66.0,
|
705 |
+
"eval_accuracy": 0.9260700389105059,
|
706 |
+
"eval_loss": 0.588865339756012,
|
707 |
+
"eval_model_preparation_time": 0.0053,
|
708 |
+
"eval_runtime": 16.1822,
|
709 |
+
"eval_samples_per_second": 63.526,
|
710 |
+
"eval_steps_per_second": 7.972,
|
711 |
+
"step": 3234
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 67.0,
|
715 |
+
"eval_accuracy": 0.9260700389105059,
|
716 |
+
"eval_loss": 0.5851794481277466,
|
717 |
+
"eval_model_preparation_time": 0.0053,
|
718 |
+
"eval_runtime": 16.116,
|
719 |
+
"eval_samples_per_second": 63.787,
|
720 |
+
"eval_steps_per_second": 8.004,
|
721 |
+
"step": 3283
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 68.0,
|
725 |
+
"eval_accuracy": 0.9221789883268483,
|
726 |
+
"eval_loss": 0.5818396210670471,
|
727 |
+
"eval_model_preparation_time": 0.0053,
|
728 |
+
"eval_runtime": 16.5601,
|
729 |
+
"eval_samples_per_second": 62.077,
|
730 |
+
"eval_steps_per_second": 7.79,
|
731 |
+
"step": 3332
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 69.0,
|
735 |
+
"eval_accuracy": 0.9231517509727627,
|
736 |
+
"eval_loss": 0.578502357006073,
|
737 |
+
"eval_model_preparation_time": 0.0053,
|
738 |
+
"eval_runtime": 16.364,
|
739 |
+
"eval_samples_per_second": 62.821,
|
740 |
+
"eval_steps_per_second": 7.883,
|
741 |
+
"step": 3381
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 70.0,
|
745 |
+
"eval_accuracy": 0.9241245136186771,
|
746 |
+
"eval_loss": 0.5750812888145447,
|
747 |
+
"eval_model_preparation_time": 0.0053,
|
748 |
+
"eval_runtime": 16.3061,
|
749 |
+
"eval_samples_per_second": 63.044,
|
750 |
+
"eval_steps_per_second": 7.911,
|
751 |
+
"step": 3430
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 71.0,
|
755 |
+
"eval_accuracy": 0.9241245136186771,
|
756 |
+
"eval_loss": 0.5718052387237549,
|
757 |
+
"eval_model_preparation_time": 0.0053,
|
758 |
+
"eval_runtime": 16.3828,
|
759 |
+
"eval_samples_per_second": 62.749,
|
760 |
+
"eval_steps_per_second": 7.874,
|
761 |
+
"step": 3479
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 71.42857142857143,
|
765 |
+
"grad_norm": 1.5724107027053833,
|
766 |
+
"learning_rate": 2.8865979381443296e-07,
|
767 |
+
"loss": 0.483,
|
768 |
+
"step": 3500
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 72.0,
|
772 |
+
"eval_accuracy": 0.9250972762645915,
|
773 |
+
"eval_loss": 0.5689519643783569,
|
774 |
+
"eval_model_preparation_time": 0.0053,
|
775 |
+
"eval_runtime": 16.3228,
|
776 |
+
"eval_samples_per_second": 62.98,
|
777 |
+
"eval_steps_per_second": 7.903,
|
778 |
+
"step": 3528
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 73.0,
|
782 |
+
"eval_accuracy": 0.9241245136186771,
|
783 |
+
"eval_loss": 0.565991997718811,
|
784 |
+
"eval_model_preparation_time": 0.0053,
|
785 |
+
"eval_runtime": 16.0251,
|
786 |
+
"eval_samples_per_second": 64.149,
|
787 |
+
"eval_steps_per_second": 8.05,
|
788 |
+
"step": 3577
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 74.0,
|
792 |
+
"eval_accuracy": 0.9231517509727627,
|
793 |
+
"eval_loss": 0.5631707906723022,
|
794 |
+
"eval_model_preparation_time": 0.0053,
|
795 |
+
"eval_runtime": 16.0794,
|
796 |
+
"eval_samples_per_second": 63.933,
|
797 |
+
"eval_steps_per_second": 8.023,
|
798 |
+
"step": 3626
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 75.0,
|
802 |
+
"eval_accuracy": 0.9250972762645915,
|
803 |
+
"eval_loss": 0.5604016780853271,
|
804 |
+
"eval_model_preparation_time": 0.0053,
|
805 |
+
"eval_runtime": 16.1767,
|
806 |
+
"eval_samples_per_second": 63.548,
|
807 |
+
"eval_steps_per_second": 7.974,
|
808 |
+
"step": 3675
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 76.0,
|
812 |
+
"eval_accuracy": 0.9241245136186771,
|
813 |
+
"eval_loss": 0.5577030777931213,
|
814 |
+
"eval_model_preparation_time": 0.0053,
|
815 |
+
"eval_runtime": 16.2849,
|
816 |
+
"eval_samples_per_second": 63.126,
|
817 |
+
"eval_steps_per_second": 7.921,
|
818 |
+
"step": 3724
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 77.0,
|
822 |
+
"eval_accuracy": 0.9250972762645915,
|
823 |
+
"eval_loss": 0.5554907917976379,
|
824 |
+
"eval_model_preparation_time": 0.0053,
|
825 |
+
"eval_runtime": 16.1225,
|
826 |
+
"eval_samples_per_second": 63.762,
|
827 |
+
"eval_steps_per_second": 8.001,
|
828 |
+
"step": 3773
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 78.0,
|
832 |
+
"eval_accuracy": 0.9260700389105059,
|
833 |
+
"eval_loss": 0.5532063841819763,
|
834 |
+
"eval_model_preparation_time": 0.0053,
|
835 |
+
"eval_runtime": 16.1489,
|
836 |
+
"eval_samples_per_second": 63.658,
|
837 |
+
"eval_steps_per_second": 7.988,
|
838 |
+
"step": 3822
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 79.0,
|
842 |
+
"eval_accuracy": 0.9241245136186771,
|
843 |
+
"eval_loss": 0.5517746806144714,
|
844 |
+
"eval_model_preparation_time": 0.0053,
|
845 |
+
"eval_runtime": 16.1776,
|
846 |
+
"eval_samples_per_second": 63.545,
|
847 |
+
"eval_steps_per_second": 7.974,
|
848 |
+
"step": 3871
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 80.0,
|
852 |
+
"eval_accuracy": 0.9260700389105059,
|
853 |
+
"eval_loss": 0.5491300821304321,
|
854 |
+
"eval_model_preparation_time": 0.0053,
|
855 |
+
"eval_runtime": 16.4646,
|
856 |
+
"eval_samples_per_second": 62.437,
|
857 |
+
"eval_steps_per_second": 7.835,
|
858 |
+
"step": 3920
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 81.0,
|
862 |
+
"eval_accuracy": 0.9260700389105059,
|
863 |
+
"eval_loss": 0.5468857884407043,
|
864 |
+
"eval_model_preparation_time": 0.0053,
|
865 |
+
"eval_runtime": 16.5897,
|
866 |
+
"eval_samples_per_second": 61.966,
|
867 |
+
"eval_steps_per_second": 7.776,
|
868 |
+
"step": 3969
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 81.63265306122449,
|
872 |
+
"grad_norm": 1.5352323055267334,
|
873 |
+
"learning_rate": 1.8556701030927835e-07,
|
874 |
+
"loss": 0.4496,
|
875 |
+
"step": 4000
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 82.0,
|
879 |
+
"eval_accuracy": 0.9260700389105059,
|
880 |
+
"eval_loss": 0.5453611016273499,
|
881 |
+
"eval_model_preparation_time": 0.0053,
|
882 |
+
"eval_runtime": 16.5158,
|
883 |
+
"eval_samples_per_second": 62.243,
|
884 |
+
"eval_steps_per_second": 7.811,
|
885 |
+
"step": 4018
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 83.0,
|
889 |
+
"eval_accuracy": 0.9289883268482491,
|
890 |
+
"eval_loss": 0.5431452989578247,
|
891 |
+
"eval_model_preparation_time": 0.0053,
|
892 |
+
"eval_runtime": 16.2358,
|
893 |
+
"eval_samples_per_second": 63.317,
|
894 |
+
"eval_steps_per_second": 7.945,
|
895 |
+
"step": 4067
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 84.0,
|
899 |
+
"eval_accuracy": 0.9270428015564203,
|
900 |
+
"eval_loss": 0.5419163107872009,
|
901 |
+
"eval_model_preparation_time": 0.0053,
|
902 |
+
"eval_runtime": 16.3758,
|
903 |
+
"eval_samples_per_second": 62.776,
|
904 |
+
"eval_steps_per_second": 7.877,
|
905 |
+
"step": 4116
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 85.0,
|
909 |
+
"eval_accuracy": 0.9280155642023347,
|
910 |
+
"eval_loss": 0.5407156348228455,
|
911 |
+
"eval_model_preparation_time": 0.0053,
|
912 |
+
"eval_runtime": 16.7946,
|
913 |
+
"eval_samples_per_second": 61.21,
|
914 |
+
"eval_steps_per_second": 7.681,
|
915 |
+
"step": 4165
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 86.0,
|
919 |
+
"eval_accuracy": 0.9280155642023347,
|
920 |
+
"eval_loss": 0.5391236543655396,
|
921 |
+
"eval_model_preparation_time": 0.0053,
|
922 |
+
"eval_runtime": 16.961,
|
923 |
+
"eval_samples_per_second": 60.609,
|
924 |
+
"eval_steps_per_second": 7.606,
|
925 |
+
"step": 4214
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 87.0,
|
929 |
+
"eval_accuracy": 0.9280155642023347,
|
930 |
+
"eval_loss": 0.5377916693687439,
|
931 |
+
"eval_model_preparation_time": 0.0053,
|
932 |
+
"eval_runtime": 16.9464,
|
933 |
+
"eval_samples_per_second": 60.662,
|
934 |
+
"eval_steps_per_second": 7.612,
|
935 |
+
"step": 4263
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 88.0,
|
939 |
+
"eval_accuracy": 0.9280155642023347,
|
940 |
+
"eval_loss": 0.5364987850189209,
|
941 |
+
"eval_model_preparation_time": 0.0053,
|
942 |
+
"eval_runtime": 16.757,
|
943 |
+
"eval_samples_per_second": 61.347,
|
944 |
+
"eval_steps_per_second": 7.698,
|
945 |
+
"step": 4312
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 89.0,
|
949 |
+
"eval_accuracy": 0.9280155642023347,
|
950 |
+
"eval_loss": 0.5354925394058228,
|
951 |
+
"eval_model_preparation_time": 0.0053,
|
952 |
+
"eval_runtime": 16.8288,
|
953 |
+
"eval_samples_per_second": 61.086,
|
954 |
+
"eval_steps_per_second": 7.665,
|
955 |
+
"step": 4361
|
956 |
+
},
|
957 |
+
{
|
958 |
+
"epoch": 90.0,
|
959 |
+
"eval_accuracy": 0.9270428015564203,
|
960 |
+
"eval_loss": 0.534569501876831,
|
961 |
+
"eval_model_preparation_time": 0.0053,
|
962 |
+
"eval_runtime": 16.5639,
|
963 |
+
"eval_samples_per_second": 62.063,
|
964 |
+
"eval_steps_per_second": 7.788,
|
965 |
+
"step": 4410
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 91.0,
|
969 |
+
"eval_accuracy": 0.9280155642023347,
|
970 |
+
"eval_loss": 0.5335658192634583,
|
971 |
+
"eval_model_preparation_time": 0.0053,
|
972 |
+
"eval_runtime": 16.5932,
|
973 |
+
"eval_samples_per_second": 61.953,
|
974 |
+
"eval_steps_per_second": 7.774,
|
975 |
+
"step": 4459
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 91.83673469387755,
|
979 |
+
"grad_norm": 1.4989055395126343,
|
980 |
+
"learning_rate": 8.24742268041237e-08,
|
981 |
+
"loss": 0.4299,
|
982 |
+
"step": 4500
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 92.0,
|
986 |
+
"eval_accuracy": 0.9280155642023347,
|
987 |
+
"eval_loss": 0.5327633023262024,
|
988 |
+
"eval_model_preparation_time": 0.0053,
|
989 |
+
"eval_runtime": 16.6218,
|
990 |
+
"eval_samples_per_second": 61.846,
|
991 |
+
"eval_steps_per_second": 7.761,
|
992 |
+
"step": 4508
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 93.0,
|
996 |
+
"eval_accuracy": 0.9280155642023347,
|
997 |
+
"eval_loss": 0.5321099758148193,
|
998 |
+
"eval_model_preparation_time": 0.0053,
|
999 |
+
"eval_runtime": 16.4686,
|
1000 |
+
"eval_samples_per_second": 62.422,
|
1001 |
+
"eval_steps_per_second": 7.833,
|
1002 |
+
"step": 4557
|
1003 |
+
},
|
1004 |
+
{
|
1005 |
+
"epoch": 94.0,
|
1006 |
+
"eval_accuracy": 0.9280155642023347,
|
1007 |
+
"eval_loss": 0.5314825177192688,
|
1008 |
+
"eval_model_preparation_time": 0.0053,
|
1009 |
+
"eval_runtime": 16.4592,
|
1010 |
+
"eval_samples_per_second": 62.458,
|
1011 |
+
"eval_steps_per_second": 7.838,
|
1012 |
+
"step": 4606
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 95.0,
|
1016 |
+
"eval_accuracy": 0.9270428015564203,
|
1017 |
+
"eval_loss": 0.5310559868812561,
|
1018 |
+
"eval_model_preparation_time": 0.0053,
|
1019 |
+
"eval_runtime": 16.6737,
|
1020 |
+
"eval_samples_per_second": 61.654,
|
1021 |
+
"eval_steps_per_second": 7.737,
|
1022 |
+
"step": 4655
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 96.0,
|
1026 |
+
"eval_accuracy": 0.9270428015564203,
|
1027 |
+
"eval_loss": 0.5306681990623474,
|
1028 |
+
"eval_model_preparation_time": 0.0053,
|
1029 |
+
"eval_runtime": 16.4895,
|
1030 |
+
"eval_samples_per_second": 62.343,
|
1031 |
+
"eval_steps_per_second": 7.823,
|
1032 |
+
"step": 4704
|
1033 |
+
},
|
1034 |
+
{
|
1035 |
+
"epoch": 97.0,
|
1036 |
+
"eval_accuracy": 0.9280155642023347,
|
1037 |
+
"eval_loss": 0.5302944183349609,
|
1038 |
+
"eval_model_preparation_time": 0.0053,
|
1039 |
+
"eval_runtime": 16.5288,
|
1040 |
+
"eval_samples_per_second": 62.194,
|
1041 |
+
"eval_steps_per_second": 7.805,
|
1042 |
+
"step": 4753
|
1043 |
+
},
|
1044 |
+
{
|
1045 |
+
"epoch": 98.0,
|
1046 |
+
"eval_accuracy": 0.9270428015564203,
|
1047 |
+
"eval_loss": 0.5300623774528503,
|
1048 |
+
"eval_model_preparation_time": 0.0053,
|
1049 |
+
"eval_runtime": 16.4477,
|
1050 |
+
"eval_samples_per_second": 62.501,
|
1051 |
+
"eval_steps_per_second": 7.843,
|
1052 |
+
"step": 4802
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 99.0,
|
1056 |
+
"eval_accuracy": 0.9280155642023347,
|
1057 |
+
"eval_loss": 0.5299115180969238,
|
1058 |
+
"eval_model_preparation_time": 0.0053,
|
1059 |
+
"eval_runtime": 16.5643,
|
1060 |
+
"eval_samples_per_second": 62.061,
|
1061 |
+
"eval_steps_per_second": 7.788,
|
1062 |
+
"step": 4851
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 100.0,
|
1066 |
+
"eval_accuracy": 0.9280155642023347,
|
1067 |
+
"eval_loss": 0.5298713445663452,
|
1068 |
+
"eval_model_preparation_time": 0.0053,
|
1069 |
+
"eval_runtime": 16.9421,
|
1070 |
+
"eval_samples_per_second": 60.677,
|
1071 |
+
"eval_steps_per_second": 7.614,
|
1072 |
+
"step": 4900
|
1073 |
+
}
|
1074 |
+
],
|
1075 |
+
"logging_steps": 500,
|
1076 |
+
"max_steps": 4900,
|
1077 |
+
"num_input_tokens_seen": 0,
|
1078 |
+
"num_train_epochs": 100,
|
1079 |
+
"save_steps": 500,
|
1080 |
+
"stateful_callbacks": {
|
1081 |
+
"TrainerControl": {
|
1082 |
+
"args": {
|
1083 |
+
"should_epoch_stop": false,
|
1084 |
+
"should_evaluate": false,
|
1085 |
+
"should_log": false,
|
1086 |
+
"should_save": true,
|
1087 |
+
"should_training_stop": true
|
1088 |
+
},
|
1089 |
+
"attributes": {}
|
1090 |
+
}
|
1091 |
+
},
|
1092 |
+
"total_flos": 1.1949586091012506e+19,
|
1093 |
+
"train_batch_size": 32,
|
1094 |
+
"trial_name": null,
|
1095 |
+
"trial_params": null
|
1096 |
+
}
|
checkpoint-4900/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:858525d77a2aca146b3415e12c5a888e5f5b65064bb27a757b2697e4eabc4024
|
3 |
+
size 5176
|
config.json
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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": "curly",
|
13 |
+
"1": "dreadlocks",
|
14 |
+
"2": "kinky",
|
15 |
+
"3": "straight",
|
16 |
+
"4": "wavy"
|
17 |
+
},
|
18 |
+
"image_size": 224,
|
19 |
+
"initializer_range": 0.02,
|
20 |
+
"intermediate_size": 3072,
|
21 |
+
"label2id": {
|
22 |
+
"curly": 0,
|
23 |
+
"dreadlocks": 1,
|
24 |
+
"kinky": 2,
|
25 |
+
"straight": 3,
|
26 |
+
"wavy": 4
|
27 |
+
},
|
28 |
+
"layer_norm_eps": 1e-12,
|
29 |
+
"model_type": "vit",
|
30 |
+
"num_attention_heads": 12,
|
31 |
+
"num_channels": 3,
|
32 |
+
"num_hidden_layers": 12,
|
33 |
+
"patch_size": 16,
|
34 |
+
"problem_type": "single_label_classification",
|
35 |
+
"qkv_bias": true,
|
36 |
+
"torch_dtype": "float32",
|
37 |
+
"transformers_version": "4.45.2"
|
38 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:880839388dee970fc3c9a41a9ea13295c6093fea1653d77780af5a05743c9cf2
|
3 |
+
size 343233204
|
preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:858525d77a2aca146b3415e12c5a888e5f5b65064bb27a757b2697e4eabc4024
|
3 |
+
size 5176
|