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End of training

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  1. README.md +72 -0
  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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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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+ model-index:
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+ - name: fashion-clothing-decade
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+ results: []
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+ ---
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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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+
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+ # fashion-clothing-decade
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+
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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: 0.8451
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+ - Accuracy: 0.7485
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.9496 | 0.98 | 31 | 1.1401 | 0.6766 |
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+ | 0.7981 | 2.0 | 63 | 1.0490 | 0.6926 |
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+ | 0.6665 | 2.98 | 94 | 1.0096 | 0.6766 |
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+ | 0.5422 | 4.0 | 126 | 0.9923 | 0.6886 |
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+ | 0.4987 | 4.98 | 157 | 0.9207 | 0.7285 |
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+ | 0.447 | 6.0 | 189 | 0.9480 | 0.6866 |
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+ | 0.3892 | 6.98 | 220 | 0.9274 | 0.7026 |
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+ | 0.3632 | 8.0 | 252 | 0.8786 | 0.7445 |
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+ | 0.3886 | 8.98 | 283 | 0.8331 | 0.7645 |
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+ | 0.3778 | 9.84 | 310 | 0.8451 | 0.7485 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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