End of training
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README.md
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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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model-index:
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- name: asl_classification
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results: []
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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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## 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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- gradient_accumulation_steps:
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type:
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- lr_scheduler_warmup_ratio: 0.1
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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 | 0.9231 | 6 | 3.1928 | 0.1058 |
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| 2.9337 | 2.0 | 13 | 3.2067 | 0.0865 |
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| 2.9337 | 2.9231 | 19 | 3.1925 | 0.1154 |
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| 2.9273 | 4.0 | 26 | 3.1791 | 0.0769 |
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| 2.9166 | 4.9231 | 32 | 3.1959 | 0.0962 |
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| 2.9166 | 6.0 | 39 | 3.1797 | 0.0962 |
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| 2.9078 | 6.9231 | 45 | 3.1835 | 0.1058 |
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| 2.9157 | 8.0 | 52 | 3.1814 | 0.1154 |
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| 2.9157 | 8.9231 | 58 | 3.1744 | 0.1058 |
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| 2.9313 | 9.2308 | 60 | 3.1843 | 0.0962 |
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### Framework versions
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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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model-index:
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- name: asl_classification
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results: []
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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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- eval_loss: 3.0043
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- eval_accuracy: 0.2019
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- eval_runtime: 1.4504
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- eval_samples_per_second: 71.703
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- eval_steps_per_second: 2.758
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- epoch: 21.5385
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- step: 35
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 100
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### Framework versions
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model.safetensors
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