microsoft/deberta-v3-base-finetuned-t_shipping
Browse files- README.md +9 -9
- config.json +1 -1
- model.safetensors +1 -1
- runs/Jun25_22-27-15_8619c8f6a36e/events.out.tfevents.1719354436.8619c8f6a36e.841.5 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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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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- Tokenizers 0.19.1
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2258
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- Accuracy: 0.94
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- F1: 0.94
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.6587 | 1.0 | 26 | 0.5704 | 0.695 | 0.6813 |
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| 0.3813 | 2.0 | 52 | 0.2877 | 0.91 | 0.9100 |
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| 0.163 | 3.0 | 78 | 0.2055 | 0.945 | 0.9450 |
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| 0.1083 | 4.0 | 104 | 0.2040 | 0.945 | 0.9450 |
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| 0.0811 | 5.0 | 130 | 0.2258 | 0.94 | 0.94 |
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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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- Tokenizers 0.19.1
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config.json
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.41.
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.41.2",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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model.safetensors
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runs/Jun25_22-27-15_8619c8f6a36e/events.out.tfevents.1719354436.8619c8f6a36e.841.5
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training_args.bin
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