Fine-tuned ViT on Tom & Jerry dataset
Browse files- README.md +78 -0
- all_results.json +8 -0
- config.json +37 -0
- model.safetensors +3 -0
- train_results.json +8 -0
- trainer_state.json +406 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: tom_and_jerry_vit_model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# tom_and_jerry_vit_model
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1530
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- Accuracy: 0.9562
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- Precision: 0.9526
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- Recall: 0.9587
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- F1: 0.9553
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.8223 | 0.4167 | 25 | 0.4506 | 0.8893 | 0.8939 | 0.8653 | 0.8742 |
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| 0.2676 | 0.8333 | 50 | 0.2195 | 0.9392 | 0.9343 | 0.9376 | 0.9356 |
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| 0.1896 | 1.25 | 75 | 0.1816 | 0.9526 | 0.9490 | 0.9504 | 0.9493 |
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| 0.1085 | 1.6667 | 100 | 0.1940 | 0.9380 | 0.9316 | 0.9381 | 0.9344 |
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| 0.1618 | 2.0833 | 125 | 0.1806 | 0.9477 | 0.9390 | 0.9493 | 0.9434 |
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| 0.0784 | 2.5 | 150 | 0.1582 | 0.9574 | 0.9524 | 0.9570 | 0.9546 |
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| 0.071 | 2.9167 | 175 | 0.1803 | 0.9416 | 0.9364 | 0.9413 | 0.9386 |
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| 0.0533 | 3.3333 | 200 | 0.1539 | 0.9611 | 0.9623 | 0.9600 | 0.9605 |
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| 0.0383 | 3.75 | 225 | 0.1446 | 0.9647 | 0.9654 | 0.9642 | 0.9646 |
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| 0.0264 | 4.1667 | 250 | 0.1619 | 0.9513 | 0.9447 | 0.9546 | 0.9488 |
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| 0.0227 | 4.5833 | 275 | 0.1524 | 0.9550 | 0.9498 | 0.9579 | 0.9531 |
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| 0.0343 | 5.0 | 300 | 0.1530 | 0.9562 | 0.9526 | 0.9587 | 0.9553 |
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### Framework versions
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- Transformers 4.55.2
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- Pytorch 2.8.0+cu129
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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all_results.json
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{
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"epoch": 5.0,
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"total_flos": 1.48554806942933e+18,
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"train_loss": 0.17210483262936274,
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"train_runtime": 149.2973,
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"train_samples_per_second": 128.402,
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"train_steps_per_second": 2.009
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}
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config.json
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{
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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": "Jerry",
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"1": "None",
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"2": "Tom",
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"3": "Tom_and_Jerry"
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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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"Jerry": "0",
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"None": "1",
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"Tom": "2",
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"Tom_and_Jerry": "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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"pooler_act": "tanh",
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"pooler_output_size": 768,
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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": "4.55.2"
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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 sha256:9861c7090b1151ebb471f9af44c36f7bc41515e3f27877c2865f8c4358cf9c63
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size 343230128
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train_results.json
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{
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"epoch": 5.0,
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"total_flos": 1.48554806942933e+18,
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"train_loss": 0.17210483262936274,
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"train_runtime": 149.2973,
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"train_samples_per_second": 128.402,
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"train_steps_per_second": 2.009
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}
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trainer_state.json
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"step": 300,
|
| 369 |
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|
| 370 |
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"train_loss": 0.17210483262936274,
|
| 371 |
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"train_runtime": 149.2973,
|
| 372 |
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"train_samples_per_second": 128.402,
|
| 373 |
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"train_steps_per_second": 2.009
|
| 374 |
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}
|
| 375 |
+
],
|
| 376 |
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"logging_steps": 10,
|
| 377 |
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"max_steps": 300,
|
| 378 |
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"num_input_tokens_seen": 0,
|
| 379 |
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"num_train_epochs": 5,
|
| 380 |
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"save_steps": 100,
|
| 381 |
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"stateful_callbacks": {
|
| 382 |
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"EarlyStoppingCallback": {
|
| 383 |
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"args": {
|
| 384 |
+
"early_stopping_patience": 3,
|
| 385 |
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"early_stopping_threshold": 0.0
|
| 386 |
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},
|
| 387 |
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"attributes": {
|
| 388 |
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"early_stopping_patience_counter": 3
|
| 389 |
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}
|
| 390 |
+
},
|
| 391 |
+
"TrainerControl": {
|
| 392 |
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"args": {
|
| 393 |
+
"should_epoch_stop": false,
|
| 394 |
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"should_evaluate": false,
|
| 395 |
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"should_log": false,
|
| 396 |
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"should_save": true,
|
| 397 |
+
"should_training_stop": true
|
| 398 |
+
},
|
| 399 |
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"attributes": {}
|
| 400 |
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}
|
| 401 |
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},
|
| 402 |
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"total_flos": 1.48554806942933e+18,
|
| 403 |
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"train_batch_size": 64,
|
| 404 |
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"trial_name": null,
|
| 405 |
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|
| 406 |
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}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:30afe6103a86791f9b1677c356bee415a0089cb6bc837bedacf8d86bb6bceb26
|
| 3 |
+
size 5713
|