Training complete
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- generation_config.json +1 -1
- model.safetensors +1 -1
README.md
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# mbart-neutralization
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Bleu: 98.
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- Gen Len: 18.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 440 | 0.
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| 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.
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- Tokenizers 0.15.
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# mbart-neutralization
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0220
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- Bleu: 98.2132
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- Gen Len: 18.5417
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 440 | 0.0490 | 96.2659 | 19.0104 |
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| 0.2462 | 2.0 | 880 | 0.0220 | 98.2132 | 18.5417 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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generation_config.json
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"max_length": 200,
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"num_beams": 5,
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"pad_token_id": 1,
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"transformers_version": "4.
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}
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"max_length": 200,
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"num_beams": 5,
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"pad_token_id": 1,
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"transformers_version": "4.38.1"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 2444578688
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fcf37a910b0311b01f94b85ab2cb38ee289434f30d446d17932891b26406438
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size 2444578688
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