DeepTrader
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Model save
Browse files- README.md +12 -12
- config.json +4 -4
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 1 | 0.
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| No log | 2.0 | 2 | 0.
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| No log | 3.0 | 3 | 0.
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| No log | 4.0 | 4 | 0.
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| No log | 5.0 | 5 | 0.
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| No log | 6.0 | 6 | 0.
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| No log | 7.0 | 7 |
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| No log | 8.0 | 8 |
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| No log | 9.0 | 9 |
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| No log | 10.0 | 10 |
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### Framework versions
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2750
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- Accuracy: 0.5
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 1 | 0.1575 | 1.0 |
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| No log | 2.0 | 2 | 0.1166 | 1.0 |
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| No log | 3.0 | 3 | 0.2496 | 1.0 |
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| No log | 4.0 | 4 | 0.4093 | 0.5 |
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| No log | 5.0 | 5 | 0.6732 | 0.5 |
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| No log | 6.0 | 6 | 0.9200 | 0.5 |
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| No log | 7.0 | 7 | 1.0925 | 0.5 |
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| No log | 8.0 | 8 | 1.1963 | 0.5 |
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| No log | 9.0 | 9 | 1.2521 | 0.5 |
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| No log | 10.0 | 10 | 1.2750 | 0.5 |
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### Framework versions
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config.json
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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": "
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"1": "
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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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"
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"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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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": "ironed_tshirts",
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"1": "not_ironed_tshirts"
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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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"ironed_tshirts": "0",
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"not_ironed_tshirts": "1"
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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model.safetensors
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training_args.bin
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