Upload folder using huggingface_hub
Browse files- README.md +42 -0
- checkpoint-494/config.json +35 -0
- checkpoint-494/model.safetensors +3 -0
- checkpoint-494/optimizer.pt +3 -0
- checkpoint-494/rng_state.pth +3 -0
- checkpoint-494/scheduler.pt +3 -0
- checkpoint-494/trainer_state.json +743 -0
- checkpoint-494/training_args.bin +3 -0
- config.json +35 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
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---
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tags:
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- autotrain
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- image-classification
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widget:
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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example_title: Tiger
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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example_title: Teapot
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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example_title: Palace
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datasets:
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- autotrain-3b9gd-7t9lc/autotrain-data
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---
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# Model Trained Using AutoTrain
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- Problem type: Image Classification
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## Validation Metrics
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loss: 0.0002666182699613273
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f1_macro: 1.0
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f1_micro: 1.0
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f1_weighted: 1.0
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precision_macro: 1.0
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precision_micro: 1.0
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precision_weighted: 1.0
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recall_macro: 1.0
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recall_micro: 1.0
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recall_weighted: 1.0
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accuracy: 1.0
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checkpoint-494/config.json
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{
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"_name_or_path": "google/vit-base-patch16-224",
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"_num_labels": 3,
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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": "paper",
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"1": "rock",
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"2": "scissors"
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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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"paper": 0,
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"rock": 1,
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"scissors": 2
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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": "4.39.0"
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}
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checkpoint-494/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:50e975fa2899815bd2b1c1592f380ccc9e57f2a202d1fa85037aac37928e8713
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size 343227052
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checkpoint-494/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8048094a4dd54565485f3b16a9c01c3f3d6af51987921a71542378c17c691127
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size 686569402
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checkpoint-494/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ffcc0ee1f2a3a1d1a059b0a191a439f10a99e759c216fed227f7e4522bec391e
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size 13990
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checkpoint-494/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:03b764c62e1310c6c04975d9ffd39413e945f85cc486b1586bfa13a2fc3005d9
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size 1064
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checkpoint-494/trainer_state.json
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{
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"best_metric": 0.0002666182699613273,
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"best_model_checkpoint": "autotrain-3b9gd-7t9lc/checkpoint-494",
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"epoch": 2.0,
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"eval_steps": 500,
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"global_step": 494,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.02,
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"grad_norm": 8.240466117858887,
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"learning_rate": 3.3333333333333333e-06,
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"loss": 1.1781,
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"step": 5
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},
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{
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"epoch": 0.04,
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"step": 10
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"epoch": 0.06,
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"learning_rate": 1e-05,
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"loss": 1.0057,
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"step": 15
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},
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{
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"epoch": 0.08,
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"learning_rate": 1.3333333333333333e-05,
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"loss": 0.909,
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"step": 20
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},
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{
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"epoch": 0.1,
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"grad_norm": 8.727118492126465,
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"learning_rate": 1.6666666666666667e-05,
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"loss": 0.8319,
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"step": 25
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},
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{
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"epoch": 0.12,
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6 |
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7 |
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8 |
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|
9 |
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10 |
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"optimizer": "adamw_torch",
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11 |
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"scheduler": "linear",
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12 |
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13 |
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14 |
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"seed": 42,
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15 |
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"train_split": "train",
|
16 |
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"valid_split": "validation",
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17 |
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"logging_steps": -1,
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18 |
+
"project_name": "autotrain-3b9gd-7t9lc",
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19 |
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"auto_find_batch_size": false,
|
20 |
+
"mixed_precision": null,
|
21 |
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"save_total_limit": 1,
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22 |
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"save_strategy": "epoch",
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23 |
+
"push_to_hub": true,
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24 |
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"repo_id": "alien2048/autotrain-3b9gd-7t9lc",
|
25 |
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"evaluation_strategy": "epoch",
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26 |
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"image_column": "autotrain_image",
|
27 |
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"target_column": "autotrain_label",
|
28 |
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"log": "none"
|
29 |
+
}
|