Upload 8 files
Browse files- config.json +44 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- preprocessor_config.json +22 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +471 -0
- training_args.bin +3 -0
config.json
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{
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"architectures": [
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"MobileNetV2ForImageClassification"
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],
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"classifier_dropout_prob": 0.8,
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"depth_divisible_by": 8,
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"depth_multiplier": 1.0,
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"expand_ratio": 6.0,
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"finegrained_output": true,
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"first_layer_is_expansion": true,
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"hidden_act": "relu6",
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"id2label": {
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"0": "Melanoma",
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"1": "Melanocytic nevus",
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"2": "Basal cell carcinoma",
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"3": "Actinic keratosis",
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"4": "Benign keratosis",
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"5": "Dermatofibroma",
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"6": "Vascular lesion",
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"7": "Squamous cell carcinoma"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"Actinic keratosis": "3",
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"Basal cell carcinoma": "2",
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"Benign keratosis": "4",
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"Dermatofibroma": "5",
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"Melanocytic nevus": "1",
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"Melanoma": "0",
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"Squamous cell carcinoma": "7",
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"Vascular lesion": "6"
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},
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"layer_norm_eps": 0.001,
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"min_depth": 8,
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"model_type": "mobilenet_v2",
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"num_channels": 3,
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"output_stride": 32,
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"problem_type": "single_label_classification",
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"semantic_loss_ignore_index": 255,
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"tf_padding": true,
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"torch_dtype": "float32",
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"transformers_version": "4.36.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d166196ee89b4c4e294e144e9411bf63187cde70e71c3084fca43130f033d687
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size 9110960
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:52738783f8fdd9fdba2396d23326d76310f78ebecce2230561509554048c8a9d
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size 18005242
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 224,
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"width": 224
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}
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}
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e79da67cddb223149ca5814493e58c2dfe9333b37179a472e255c6c1ea67f02f
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:795aae61e054f7c273a548f291a22c10185e466cd7af31fed7886b963079b475
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size 1064
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trainer_state.json
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{
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| 2 |
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"best_metric": 0.6672587329780936,
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| 3 |
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"best_model_checkpoint": "Distilled-Melanoma-Classification-MobileNetV2/checkpoint-60792",
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| 4 |
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"epoch": 30.0,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 75990,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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| 11 |
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{
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| 12 |
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"epoch": 1.0,
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| 13 |
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"learning_rate": 4.8333333333333334e-05,
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"loss": 1.9302,
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"step": 2533
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},
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{
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"epoch": 1.0,
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"eval_accuracy": 0.551805802249852,
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"eval_loss": 1.6089619398117065,
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"eval_runtime": 454.9672,
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"eval_samples_per_second": 11.137,
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"eval_steps_per_second": 1.394,
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"step": 2533
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},
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| 26 |
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{
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| 27 |
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"epoch": 2.0,
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| 28 |
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"learning_rate": 4.666666666666667e-05,
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| 29 |
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"loss": 1.6357,
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| 30 |
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"step": 5066
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},
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| 32 |
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{
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"epoch": 2.0,
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| 34 |
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"eval_accuracy": 0.5964081310440102,
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| 35 |
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"eval_loss": 1.3391807079315186,
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"eval_runtime": 461.1878,
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"eval_samples_per_second": 10.987,
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"eval_steps_per_second": 1.375,
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| 39 |
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"step": 5066
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| 40 |
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},
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| 41 |
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{
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| 42 |
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"epoch": 3.0,
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| 43 |
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"learning_rate": 4.5e-05,
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| 44 |
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"loss": 1.5009,
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"step": 7599
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},
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| 47 |
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{
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"epoch": 3.0,
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"eval_accuracy": 0.6208802052496546,
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"eval_loss": 1.2432700395584106,
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"eval_runtime": 461.7485,
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"eval_samples_per_second": 10.974,
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| 53 |
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+
"step": 73457
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
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"epoch": 30.0,
|
| 448 |
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"learning_rate": 0.0,
|
| 449 |
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"loss": 0.276,
|
| 450 |
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"step": 75990
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 30.0,
|
| 454 |
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"eval_accuracy": 0.6627195579238208,
|
| 455 |
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"eval_loss": 1.0914403200149536,
|
| 456 |
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"eval_runtime": 464.7038,
|
| 457 |
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"eval_samples_per_second": 10.904,
|
| 458 |
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"eval_steps_per_second": 1.364,
|
| 459 |
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"step": 75990
|
| 460 |
+
}
|
| 461 |
+
],
|
| 462 |
+
"logging_steps": 500,
|
| 463 |
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"max_steps": 75990,
|
| 464 |
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"num_input_tokens_seen": 0,
|
| 465 |
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"num_train_epochs": 30,
|
| 466 |
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"save_steps": 500,
|
| 467 |
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"total_flos": 1.2266522779779072e+18,
|
| 468 |
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"train_batch_size": 8,
|
| 469 |
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"trial_name": null,
|
| 470 |
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"trial_params": null
|
| 471 |
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}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:51e056e0ee2d9a6372cbb5a5e55de4e9cc18bfe76331118acdeb9b74dca9f4bc
|
| 3 |
+
size 4792
|