Commit
•
ffb5571
1
Parent(s):
df1eca2
Upload folder using huggingface_hub
Browse files- checkpoint-1450/config.json +46 -0
- checkpoint-1450/model.safetensors +3 -0
- checkpoint-1450/optimizer.pt +3 -0
- checkpoint-1450/preprocessor_config.json +22 -0
- checkpoint-1450/rng_state.pth +3 -0
- checkpoint-1450/scheduler.pt +3 -0
- checkpoint-1450/trainer_state.json +497 -0
- checkpoint-1450/training_args.bin +3 -0
- config.json +46 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- training_args.bin +3 -0
checkpoint-1450/config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "Bridge",
|
| 13 |
+
"1": "Child",
|
| 14 |
+
"2": "Cobra",
|
| 15 |
+
"3": "Downward-Dog",
|
| 16 |
+
"4": "Pigeon",
|
| 17 |
+
"5": "Standing-Mountain",
|
| 18 |
+
"6": "Tree",
|
| 19 |
+
"7": "Triangle",
|
| 20 |
+
"8": "Warrior"
|
| 21 |
+
},
|
| 22 |
+
"image_size": 224,
|
| 23 |
+
"initializer_range": 0.02,
|
| 24 |
+
"intermediate_size": 3072,
|
| 25 |
+
"label2id": {
|
| 26 |
+
"Bridge": 0,
|
| 27 |
+
"Child": 1,
|
| 28 |
+
"Cobra": 2,
|
| 29 |
+
"Downward-Dog": 3,
|
| 30 |
+
"Pigeon": 4,
|
| 31 |
+
"Standing-Mountain": 5,
|
| 32 |
+
"Tree": 6,
|
| 33 |
+
"Triangle": 7,
|
| 34 |
+
"Warrior": 8
|
| 35 |
+
},
|
| 36 |
+
"layer_norm_eps": 1e-12,
|
| 37 |
+
"model_type": "vit",
|
| 38 |
+
"num_attention_heads": 12,
|
| 39 |
+
"num_channels": 3,
|
| 40 |
+
"num_hidden_layers": 12,
|
| 41 |
+
"patch_size": 16,
|
| 42 |
+
"problem_type": "single_label_classification",
|
| 43 |
+
"qkv_bias": true,
|
| 44 |
+
"torch_dtype": "float32",
|
| 45 |
+
"transformers_version": "4.42.3"
|
| 46 |
+
}
|
checkpoint-1450/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a156f76db08cbad8caa9be8fe1bfd43847a4cff43e9996a234c6d91440490554
|
| 3 |
+
size 343245508
|
checkpoint-1450/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef698fbfc5286fb13e99dc78f2093853a69b48e4d9e4a98307839a397f90f5bd
|
| 3 |
+
size 686611461
|
checkpoint-1450/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-1450/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9660f69c06b6c23443a37d8fc2332393dfe0d2ea573ee4199aba36699f2307dc
|
| 3 |
+
size 14575
|
checkpoint-1450/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:509713abc1e5b951bdcdfebd13cac3dd7e309ec8b9d6a97c0703b585660be1bc
|
| 3 |
+
size 627
|
checkpoint-1450/trainer_state.json
ADDED
|
@@ -0,0 +1,497 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.555110216140747,
|
| 3 |
+
"best_model_checkpoint": "vit-base-patch16-224-in21k/checkpoint-1450",
|
| 4 |
+
"epoch": 50.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1450,
|
| 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": 0.14214463840399003,
|
| 14 |
+
"eval_loss": 2.1949472427368164,
|
| 15 |
+
"eval_runtime": 16.6682,
|
| 16 |
+
"eval_samples_per_second": 72.173,
|
| 17 |
+
"eval_steps_per_second": 2.28,
|
| 18 |
+
"step": 29
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 2.0,
|
| 22 |
+
"eval_accuracy": 0.16874480465502908,
|
| 23 |
+
"eval_loss": 2.186838388442993,
|
| 24 |
+
"eval_runtime": 16.7522,
|
| 25 |
+
"eval_samples_per_second": 71.811,
|
| 26 |
+
"eval_steps_per_second": 2.268,
|
| 27 |
+
"step": 58
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 3.0,
|
| 31 |
+
"eval_accuracy": 0.18952618453865336,
|
| 32 |
+
"eval_loss": 2.1766607761383057,
|
| 33 |
+
"eval_runtime": 16.8234,
|
| 34 |
+
"eval_samples_per_second": 71.508,
|
| 35 |
+
"eval_steps_per_second": 2.259,
|
| 36 |
+
"step": 87
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 4.0,
|
| 40 |
+
"eval_accuracy": 0.2144638403990025,
|
| 41 |
+
"eval_loss": 2.165771722793579,
|
| 42 |
+
"eval_runtime": 16.9209,
|
| 43 |
+
"eval_samples_per_second": 71.096,
|
| 44 |
+
"eval_steps_per_second": 2.246,
|
| 45 |
+
"step": 116
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 5.0,
|
| 49 |
+
"eval_accuracy": 0.2427265170407315,
|
| 50 |
+
"eval_loss": 2.153604030609131,
|
| 51 |
+
"eval_runtime": 16.8242,
|
| 52 |
+
"eval_samples_per_second": 71.504,
|
| 53 |
+
"eval_steps_per_second": 2.259,
|
| 54 |
+
"step": 145
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 6.0,
|
| 58 |
+
"eval_accuracy": 0.2809642560266002,
|
| 59 |
+
"eval_loss": 2.1398112773895264,
|
| 60 |
+
"eval_runtime": 16.8785,
|
| 61 |
+
"eval_samples_per_second": 71.274,
|
| 62 |
+
"eval_steps_per_second": 2.251,
|
| 63 |
+
"step": 174
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 7.0,
|
| 67 |
+
"eval_accuracy": 0.31504571903574397,
|
| 68 |
+
"eval_loss": 2.1249942779541016,
|
| 69 |
+
"eval_runtime": 16.7869,
|
| 70 |
+
"eval_samples_per_second": 71.663,
|
| 71 |
+
"eval_steps_per_second": 2.264,
|
| 72 |
+
"step": 203
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 8.0,
|
| 76 |
+
"eval_accuracy": 0.3516209476309227,
|
| 77 |
+
"eval_loss": 2.1092069149017334,
|
| 78 |
+
"eval_runtime": 16.6708,
|
| 79 |
+
"eval_samples_per_second": 72.162,
|
| 80 |
+
"eval_steps_per_second": 2.279,
|
| 81 |
+
"step": 232
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 9.0,
|
| 85 |
+
"eval_accuracy": 0.3865336658354115,
|
| 86 |
+
"eval_loss": 2.0922772884368896,
|
| 87 |
+
"eval_runtime": 16.7596,
|
| 88 |
+
"eval_samples_per_second": 71.78,
|
| 89 |
+
"eval_steps_per_second": 2.267,
|
| 90 |
+
"step": 261
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 10.0,
|
| 94 |
+
"eval_accuracy": 0.4172901080631754,
|
| 95 |
+
"eval_loss": 2.0741829872131348,
|
| 96 |
+
"eval_runtime": 17.2756,
|
| 97 |
+
"eval_samples_per_second": 69.636,
|
| 98 |
+
"eval_steps_per_second": 2.2,
|
| 99 |
+
"step": 290
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 11.0,
|
| 103 |
+
"eval_accuracy": 0.45054031587697424,
|
| 104 |
+
"eval_loss": 2.0549581050872803,
|
| 105 |
+
"eval_runtime": 16.8587,
|
| 106 |
+
"eval_samples_per_second": 71.358,
|
| 107 |
+
"eval_steps_per_second": 2.254,
|
| 108 |
+
"step": 319
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 12.0,
|
| 112 |
+
"eval_accuracy": 0.4746467165419784,
|
| 113 |
+
"eval_loss": 2.0356059074401855,
|
| 114 |
+
"eval_runtime": 16.8686,
|
| 115 |
+
"eval_samples_per_second": 71.316,
|
| 116 |
+
"eval_steps_per_second": 2.253,
|
| 117 |
+
"step": 348
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 13.0,
|
| 121 |
+
"eval_accuracy": 0.5103906899418121,
|
| 122 |
+
"eval_loss": 2.0160348415374756,
|
| 123 |
+
"eval_runtime": 16.8138,
|
| 124 |
+
"eval_samples_per_second": 71.548,
|
| 125 |
+
"eval_steps_per_second": 2.26,
|
| 126 |
+
"step": 377
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 14.0,
|
| 130 |
+
"eval_accuracy": 0.5278470490440565,
|
| 131 |
+
"eval_loss": 1.996354341506958,
|
| 132 |
+
"eval_runtime": 16.8252,
|
| 133 |
+
"eval_samples_per_second": 71.5,
|
| 134 |
+
"eval_steps_per_second": 2.259,
|
| 135 |
+
"step": 406
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 15.0,
|
| 139 |
+
"eval_accuracy": 0.5411471321695761,
|
| 140 |
+
"eval_loss": 1.9763015508651733,
|
| 141 |
+
"eval_runtime": 16.7531,
|
| 142 |
+
"eval_samples_per_second": 71.808,
|
| 143 |
+
"eval_steps_per_second": 2.268,
|
| 144 |
+
"step": 435
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 16.0,
|
| 148 |
+
"eval_accuracy": 0.5627597672485453,
|
| 149 |
+
"eval_loss": 1.9563554525375366,
|
| 150 |
+
"eval_runtime": 16.7782,
|
| 151 |
+
"eval_samples_per_second": 71.7,
|
| 152 |
+
"eval_steps_per_second": 2.265,
|
| 153 |
+
"step": 464
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 17.0,
|
| 157 |
+
"eval_accuracy": 0.5935162094763092,
|
| 158 |
+
"eval_loss": 1.9363466501235962,
|
| 159 |
+
"eval_runtime": 16.8283,
|
| 160 |
+
"eval_samples_per_second": 71.487,
|
| 161 |
+
"eval_steps_per_second": 2.258,
|
| 162 |
+
"step": 493
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 17.24137931034483,
|
| 166 |
+
"grad_norm": 1.170919418334961,
|
| 167 |
+
"learning_rate": 1.3571428571428572e-06,
|
| 168 |
+
"loss": 2.0616,
|
| 169 |
+
"step": 500
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 18.0,
|
| 173 |
+
"eval_accuracy": 0.6059850374064838,
|
| 174 |
+
"eval_loss": 1.9157662391662598,
|
| 175 |
+
"eval_runtime": 16.8442,
|
| 176 |
+
"eval_samples_per_second": 71.419,
|
| 177 |
+
"eval_steps_per_second": 2.256,
|
| 178 |
+
"step": 522
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 19.0,
|
| 182 |
+
"eval_accuracy": 0.6184538653366584,
|
| 183 |
+
"eval_loss": 1.8954347372055054,
|
| 184 |
+
"eval_runtime": 16.8002,
|
| 185 |
+
"eval_samples_per_second": 71.606,
|
| 186 |
+
"eval_steps_per_second": 2.262,
|
| 187 |
+
"step": 551
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 20.0,
|
| 191 |
+
"eval_accuracy": 0.6275976724854531,
|
| 192 |
+
"eval_loss": 1.87549889087677,
|
| 193 |
+
"eval_runtime": 16.9097,
|
| 194 |
+
"eval_samples_per_second": 71.143,
|
| 195 |
+
"eval_steps_per_second": 2.247,
|
| 196 |
+
"step": 580
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 21.0,
|
| 200 |
+
"eval_accuracy": 0.6433915211970075,
|
| 201 |
+
"eval_loss": 1.856285572052002,
|
| 202 |
+
"eval_runtime": 16.8322,
|
| 203 |
+
"eval_samples_per_second": 71.47,
|
| 204 |
+
"eval_steps_per_second": 2.258,
|
| 205 |
+
"step": 609
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 22.0,
|
| 209 |
+
"eval_accuracy": 0.6525353283458022,
|
| 210 |
+
"eval_loss": 1.8366234302520752,
|
| 211 |
+
"eval_runtime": 16.8751,
|
| 212 |
+
"eval_samples_per_second": 71.289,
|
| 213 |
+
"eval_steps_per_second": 2.252,
|
| 214 |
+
"step": 638
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 23.0,
|
| 218 |
+
"eval_accuracy": 0.6600166251039069,
|
| 219 |
+
"eval_loss": 1.8174903392791748,
|
| 220 |
+
"eval_runtime": 16.8399,
|
| 221 |
+
"eval_samples_per_second": 71.437,
|
| 222 |
+
"eval_steps_per_second": 2.257,
|
| 223 |
+
"step": 667
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 24.0,
|
| 227 |
+
"eval_accuracy": 0.6699916874480466,
|
| 228 |
+
"eval_loss": 1.799251914024353,
|
| 229 |
+
"eval_runtime": 16.95,
|
| 230 |
+
"eval_samples_per_second": 70.973,
|
| 231 |
+
"eval_steps_per_second": 2.242,
|
| 232 |
+
"step": 696
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 25.0,
|
| 236 |
+
"eval_accuracy": 0.684123025768911,
|
| 237 |
+
"eval_loss": 1.7816163301467896,
|
| 238 |
+
"eval_runtime": 17.3768,
|
| 239 |
+
"eval_samples_per_second": 69.23,
|
| 240 |
+
"eval_steps_per_second": 2.187,
|
| 241 |
+
"step": 725
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 26.0,
|
| 245 |
+
"eval_accuracy": 0.6965918536990856,
|
| 246 |
+
"eval_loss": 1.7638013362884521,
|
| 247 |
+
"eval_runtime": 16.8626,
|
| 248 |
+
"eval_samples_per_second": 71.341,
|
| 249 |
+
"eval_steps_per_second": 2.254,
|
| 250 |
+
"step": 754
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 27.0,
|
| 254 |
+
"eval_accuracy": 0.6982543640897756,
|
| 255 |
+
"eval_loss": 1.7467155456542969,
|
| 256 |
+
"eval_runtime": 16.6815,
|
| 257 |
+
"eval_samples_per_second": 72.116,
|
| 258 |
+
"eval_steps_per_second": 2.278,
|
| 259 |
+
"step": 783
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"epoch": 28.0,
|
| 263 |
+
"eval_accuracy": 0.7024106400665004,
|
| 264 |
+
"eval_loss": 1.730850100517273,
|
| 265 |
+
"eval_runtime": 16.731,
|
| 266 |
+
"eval_samples_per_second": 71.902,
|
| 267 |
+
"eval_steps_per_second": 2.271,
|
| 268 |
+
"step": 812
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 29.0,
|
| 272 |
+
"eval_accuracy": 0.7090606816292602,
|
| 273 |
+
"eval_loss": 1.714859127998352,
|
| 274 |
+
"eval_runtime": 16.8823,
|
| 275 |
+
"eval_samples_per_second": 71.258,
|
| 276 |
+
"eval_steps_per_second": 2.251,
|
| 277 |
+
"step": 841
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 30.0,
|
| 281 |
+
"eval_accuracy": 0.7182044887780549,
|
| 282 |
+
"eval_loss": 1.6998004913330078,
|
| 283 |
+
"eval_runtime": 16.9754,
|
| 284 |
+
"eval_samples_per_second": 70.867,
|
| 285 |
+
"eval_steps_per_second": 2.239,
|
| 286 |
+
"step": 870
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 31.0,
|
| 290 |
+
"eval_accuracy": 0.7240232751454697,
|
| 291 |
+
"eval_loss": 1.6857184171676636,
|
| 292 |
+
"eval_runtime": 16.864,
|
| 293 |
+
"eval_samples_per_second": 71.335,
|
| 294 |
+
"eval_steps_per_second": 2.253,
|
| 295 |
+
"step": 899
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 32.0,
|
| 299 |
+
"eval_accuracy": 0.7339983374896093,
|
| 300 |
+
"eval_loss": 1.6722785234451294,
|
| 301 |
+
"eval_runtime": 17.0525,
|
| 302 |
+
"eval_samples_per_second": 70.547,
|
| 303 |
+
"eval_steps_per_second": 2.228,
|
| 304 |
+
"step": 928
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 33.0,
|
| 308 |
+
"eval_accuracy": 0.7348295926849543,
|
| 309 |
+
"eval_loss": 1.6595127582550049,
|
| 310 |
+
"eval_runtime": 17.129,
|
| 311 |
+
"eval_samples_per_second": 70.232,
|
| 312 |
+
"eval_steps_per_second": 2.218,
|
| 313 |
+
"step": 957
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 34.0,
|
| 317 |
+
"eval_accuracy": 0.7389858686616791,
|
| 318 |
+
"eval_loss": 1.6473374366760254,
|
| 319 |
+
"eval_runtime": 16.9347,
|
| 320 |
+
"eval_samples_per_second": 71.037,
|
| 321 |
+
"eval_steps_per_second": 2.244,
|
| 322 |
+
"step": 986
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 34.48275862068966,
|
| 326 |
+
"grad_norm": 1.199028491973877,
|
| 327 |
+
"learning_rate": 6.428571428571429e-07,
|
| 328 |
+
"loss": 1.7089,
|
| 329 |
+
"step": 1000
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 35.0,
|
| 333 |
+
"eval_accuracy": 0.741479634247714,
|
| 334 |
+
"eval_loss": 1.6358741521835327,
|
| 335 |
+
"eval_runtime": 16.7459,
|
| 336 |
+
"eval_samples_per_second": 71.839,
|
| 337 |
+
"eval_steps_per_second": 2.269,
|
| 338 |
+
"step": 1015
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 36.0,
|
| 342 |
+
"eval_accuracy": 0.744804655029094,
|
| 343 |
+
"eval_loss": 1.6255922317504883,
|
| 344 |
+
"eval_runtime": 16.7298,
|
| 345 |
+
"eval_samples_per_second": 71.907,
|
| 346 |
+
"eval_steps_per_second": 2.271,
|
| 347 |
+
"step": 1044
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 37.0,
|
| 351 |
+
"eval_accuracy": 0.7506234413965087,
|
| 352 |
+
"eval_loss": 1.6154671907424927,
|
| 353 |
+
"eval_runtime": 16.6855,
|
| 354 |
+
"eval_samples_per_second": 72.098,
|
| 355 |
+
"eval_steps_per_second": 2.277,
|
| 356 |
+
"step": 1073
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 38.0,
|
| 360 |
+
"eval_accuracy": 0.7522859517871987,
|
| 361 |
+
"eval_loss": 1.6062015295028687,
|
| 362 |
+
"eval_runtime": 16.7723,
|
| 363 |
+
"eval_samples_per_second": 71.725,
|
| 364 |
+
"eval_steps_per_second": 2.266,
|
| 365 |
+
"step": 1102
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 39.0,
|
| 369 |
+
"eval_accuracy": 0.7531172069825436,
|
| 370 |
+
"eval_loss": 1.5981698036193848,
|
| 371 |
+
"eval_runtime": 16.7879,
|
| 372 |
+
"eval_samples_per_second": 71.659,
|
| 373 |
+
"eval_steps_per_second": 2.264,
|
| 374 |
+
"step": 1131
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 40.0,
|
| 378 |
+
"eval_accuracy": 0.7564422277639236,
|
| 379 |
+
"eval_loss": 1.5905556678771973,
|
| 380 |
+
"eval_runtime": 16.7358,
|
| 381 |
+
"eval_samples_per_second": 71.882,
|
| 382 |
+
"eval_steps_per_second": 2.271,
|
| 383 |
+
"step": 1160
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 41.0,
|
| 387 |
+
"eval_accuracy": 0.7581047381546134,
|
| 388 |
+
"eval_loss": 1.5838948488235474,
|
| 389 |
+
"eval_runtime": 16.7294,
|
| 390 |
+
"eval_samples_per_second": 71.909,
|
| 391 |
+
"eval_steps_per_second": 2.271,
|
| 392 |
+
"step": 1189
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 42.0,
|
| 396 |
+
"eval_accuracy": 0.7622610141313383,
|
| 397 |
+
"eval_loss": 1.5777734518051147,
|
| 398 |
+
"eval_runtime": 16.7829,
|
| 399 |
+
"eval_samples_per_second": 71.68,
|
| 400 |
+
"eval_steps_per_second": 2.264,
|
| 401 |
+
"step": 1218
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 43.0,
|
| 405 |
+
"eval_accuracy": 0.7605985037406484,
|
| 406 |
+
"eval_loss": 1.5723505020141602,
|
| 407 |
+
"eval_runtime": 16.8898,
|
| 408 |
+
"eval_samples_per_second": 71.226,
|
| 409 |
+
"eval_steps_per_second": 2.25,
|
| 410 |
+
"step": 1247
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 44.0,
|
| 414 |
+
"eval_accuracy": 0.7622610141313383,
|
| 415 |
+
"eval_loss": 1.5677645206451416,
|
| 416 |
+
"eval_runtime": 16.9782,
|
| 417 |
+
"eval_samples_per_second": 70.856,
|
| 418 |
+
"eval_steps_per_second": 2.238,
|
| 419 |
+
"step": 1276
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 45.0,
|
| 423 |
+
"eval_accuracy": 0.7630922693266833,
|
| 424 |
+
"eval_loss": 1.5637906789779663,
|
| 425 |
+
"eval_runtime": 16.962,
|
| 426 |
+
"eval_samples_per_second": 70.923,
|
| 427 |
+
"eval_steps_per_second": 2.24,
|
| 428 |
+
"step": 1305
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 46.0,
|
| 432 |
+
"eval_accuracy": 0.7672485453034081,
|
| 433 |
+
"eval_loss": 1.560693383216858,
|
| 434 |
+
"eval_runtime": 16.8368,
|
| 435 |
+
"eval_samples_per_second": 71.451,
|
| 436 |
+
"eval_steps_per_second": 2.257,
|
| 437 |
+
"step": 1334
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 47.0,
|
| 441 |
+
"eval_accuracy": 0.7672485453034081,
|
| 442 |
+
"eval_loss": 1.558199405670166,
|
| 443 |
+
"eval_runtime": 16.8053,
|
| 444 |
+
"eval_samples_per_second": 71.585,
|
| 445 |
+
"eval_steps_per_second": 2.261,
|
| 446 |
+
"step": 1363
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 48.0,
|
| 450 |
+
"eval_accuracy": 0.7689110556940981,
|
| 451 |
+
"eval_loss": 1.5564790964126587,
|
| 452 |
+
"eval_runtime": 16.8812,
|
| 453 |
+
"eval_samples_per_second": 71.263,
|
| 454 |
+
"eval_steps_per_second": 2.251,
|
| 455 |
+
"step": 1392
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 49.0,
|
| 459 |
+
"eval_accuracy": 0.7689110556940981,
|
| 460 |
+
"eval_loss": 1.5554701089859009,
|
| 461 |
+
"eval_runtime": 16.7556,
|
| 462 |
+
"eval_samples_per_second": 71.797,
|
| 463 |
+
"eval_steps_per_second": 2.268,
|
| 464 |
+
"step": 1421
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 50.0,
|
| 468 |
+
"eval_accuracy": 0.7689110556940981,
|
| 469 |
+
"eval_loss": 1.555110216140747,
|
| 470 |
+
"eval_runtime": 16.8736,
|
| 471 |
+
"eval_samples_per_second": 71.295,
|
| 472 |
+
"eval_steps_per_second": 2.252,
|
| 473 |
+
"step": 1450
|
| 474 |
+
}
|
| 475 |
+
],
|
| 476 |
+
"logging_steps": 500,
|
| 477 |
+
"max_steps": 1450,
|
| 478 |
+
"num_input_tokens_seen": 0,
|
| 479 |
+
"num_train_epochs": 50,
|
| 480 |
+
"save_steps": 500,
|
| 481 |
+
"stateful_callbacks": {
|
| 482 |
+
"TrainerControl": {
|
| 483 |
+
"args": {
|
| 484 |
+
"should_epoch_stop": false,
|
| 485 |
+
"should_evaluate": false,
|
| 486 |
+
"should_log": false,
|
| 487 |
+
"should_save": true,
|
| 488 |
+
"should_training_stop": true
|
| 489 |
+
},
|
| 490 |
+
"attributes": {}
|
| 491 |
+
}
|
| 492 |
+
},
|
| 493 |
+
"total_flos": 6.98634115081943e+18,
|
| 494 |
+
"train_batch_size": 64,
|
| 495 |
+
"trial_name": null,
|
| 496 |
+
"trial_params": null
|
| 497 |
+
}
|
checkpoint-1450/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91555a243d19d8c99f25042374350800d7a87e58e3e327fdcf67c44ce4c333fd
|
| 3 |
+
size 4603
|
config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "Bridge",
|
| 13 |
+
"1": "Child",
|
| 14 |
+
"2": "Cobra",
|
| 15 |
+
"3": "Downward-Dog",
|
| 16 |
+
"4": "Pigeon",
|
| 17 |
+
"5": "Standing-Mountain",
|
| 18 |
+
"6": "Tree",
|
| 19 |
+
"7": "Triangle",
|
| 20 |
+
"8": "Warrior"
|
| 21 |
+
},
|
| 22 |
+
"image_size": 224,
|
| 23 |
+
"initializer_range": 0.02,
|
| 24 |
+
"intermediate_size": 3072,
|
| 25 |
+
"label2id": {
|
| 26 |
+
"Bridge": 0,
|
| 27 |
+
"Child": 1,
|
| 28 |
+
"Cobra": 2,
|
| 29 |
+
"Downward-Dog": 3,
|
| 30 |
+
"Pigeon": 4,
|
| 31 |
+
"Standing-Mountain": 5,
|
| 32 |
+
"Tree": 6,
|
| 33 |
+
"Triangle": 7,
|
| 34 |
+
"Warrior": 8
|
| 35 |
+
},
|
| 36 |
+
"layer_norm_eps": 1e-12,
|
| 37 |
+
"model_type": "vit",
|
| 38 |
+
"num_attention_heads": 12,
|
| 39 |
+
"num_channels": 3,
|
| 40 |
+
"num_hidden_layers": 12,
|
| 41 |
+
"patch_size": 16,
|
| 42 |
+
"problem_type": "single_label_classification",
|
| 43 |
+
"qkv_bias": true,
|
| 44 |
+
"torch_dtype": "float32",
|
| 45 |
+
"transformers_version": "4.42.3"
|
| 46 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a156f76db08cbad8caa9be8fe1bfd43847a4cff43e9996a234c6d91440490554
|
| 3 |
+
size 343245508
|
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 sha256:91555a243d19d8c99f25042374350800d7a87e58e3e327fdcf67c44ce4c333fd
|
| 3 |
+
size 4603
|