Commit
•
6d5aa3d
1
Parent(s):
4d56456
Upload 7 files
Browse filesupload ViT model fine-turning from NSCLC dataset
- all_results.json +8 -0
- config.json +36 -0
- preprocessor_config.json +22 -0
- pytorch_model.bin +3 -0
- train_results.json +8 -0
- trainer_state.json +3121 -0
- training_args.bin +3 -0
all_results.json
ADDED
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{
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"epoch": 30.0,
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"total_flos": 2.32480136060928e+19,
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"train_loss": 0.06245271290856119,
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"train_runtime": 9025.7434,
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"train_samples_per_second": 33.238,
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"train_steps_per_second": 0.522
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}
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config.json
ADDED
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{
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"_name_or_path": "google/vit-base-patch16-224",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "adenocarcinoma",
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"1": "large.cell",
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"2": "normal",
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"3": "squamous.cell"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"adenocarcinoma": 0,
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"large.cell": 1,
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"normal": 2,
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"squamous.cell": 3
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.28.1"
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}
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d37431e03a72d94770ff8e78671697b1bfbcf76333d1dbddb772d420d877efd1
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size 343274861
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train_results.json
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{
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"epoch": 30.0,
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"total_flos": 2.32480136060928e+19,
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"train_loss": 0.06245271290856119,
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"train_runtime": 9025.7434,
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"train_samples_per_second": 33.238,
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"train_steps_per_second": 0.522
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}
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trainer_state.json
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training_args.bin
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