End of training
Browse files- README.md +20 -12
- config.json +1 -1
- model.safetensors +1 -1
- runs/Jun03_10-25-30_3641319fd633/events.out.tfevents.1717410330.3641319fd633.2377.0 +3 -0
- runs/Jun03_10-28-06_3641319fd633/events.out.tfevents.1717410487.3641319fd633.3280.0 +3 -0
- runs/Jun03_10-30-13_3641319fd633/events.out.tfevents.1717410614.3641319fd633.3280.1 +3 -0
- runs/Jun03_10-30-13_3641319fd633/events.out.tfevents.1717411710.3641319fd633.3280.2 +3 -0
- training_args.bin +1 -1
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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### Framework versions
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- Transformers 4.41.
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.
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- Tokenizers 0.19.1
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.475
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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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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4479
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- Accuracy: 0.475
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 80 | 1.7877 | 0.3 |
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| No log | 2.0 | 160 | 1.5989 | 0.4062 |
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| No log | 3.0 | 240 | 1.4993 | 0.4313 |
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| No log | 4.0 | 320 | 1.4446 | 0.4437 |
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| No log | 5.0 | 400 | 1.4479 | 0.475 |
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| No log | 6.0 | 480 | 1.4549 | 0.4437 |
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| 0.6433 | 7.0 | 560 | 1.4635 | 0.45 |
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| 0.6433 | 8.0 | 640 | 1.4767 | 0.4562 |
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| 0.6433 | 9.0 | 720 | 1.4850 | 0.4437 |
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| 0.6433 | 10.0 | 800 | 1.4864 | 0.4437 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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config.json
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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": "4.41.
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}
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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": "4.41.2"
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}
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model.safetensors
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