Training complete
Browse files- README.md +7 -7
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Bleu:
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- Gen Len:
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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 | 137 | 0.
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| No log | 2.0 | 274 | 0.
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### Framework versions
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- Transformers 4.40.
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.
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- Tokenizers 0.19.1
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This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6145
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- Bleu: 64.1523
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- Gen Len: 83.1479
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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 | 137 | 0.7661 | 61.6664 | 82.0521 |
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| No log | 2.0 | 274 | 0.6145 | 64.1523 | 83.1479 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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"static_position_embeddings": false,
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"tokenizer_class": "MBart50Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.40.
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"use_cache": true,
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"vocab_size": 250054
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}
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"static_position_embeddings": false,
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"tokenizer_class": "MBart50Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size": 250054
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}
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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": "4.40.
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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": "4.40.2"
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}
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model.safetensors
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training_args.bin
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