End of training
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- generation_config.json +1 -1
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) 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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## Model description
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### Training results
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| Training Loss | Epoch | Step
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| 0.0593 | 0.7319 | 3000 | 0.0397 |
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| 0.0506 | 0.9758 | 4000 | 0.0351 |
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| 0.0432 | 1.2198 | 5000 | 0.0308 |
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| 0.0397 | 1.4638 | 6000 | 0.0275 |
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| 0.0362 | 1.7077 | 7000 | 0.0253 |
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| 0.0347 | 1.9517 | 8000 | 0.0231 |
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| 0.0305 | 2.1957 | 9000 | 0.0222 |
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| 0.0288 | 2.4396 | 10000 | 0.0206 |
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| 0.0272 | 2.6836 | 11000 | 0.0196 |
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| 0.0264 | 2.9275 | 12000 | 0.0190 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets
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- Tokenizers 0.19.1
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library_name: transformers
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license: apache-2.0
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base_model: facebook/bart-base
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tags:
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- generated_from_trainer
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model-index:
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0659
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.4324 | 1.1641 | 1000 | 0.0876 |
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| 0.0963 | 2.3283 | 2000 | 0.0659 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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generation_config.json
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.
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}
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.44.2"
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}
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