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--- |
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license: apache-2.0 |
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base_model: facebook/bart-large |
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tags: |
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- generated_from_trainer |
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datasets: |
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- eur-lex-sum |
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model-index: |
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- name: BART_no_extraction_V2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# BART_no_extraction_V2 |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the eur-lex-sum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0427 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 40 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.4492 | 1.0 | 69 | 2.2924 | |
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| 2.2834 | 2.0 | 138 | 2.1161 | |
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| 2.0586 | 3.0 | 207 | 2.0469 | |
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| 1.9241 | 4.0 | 276 | 2.0229 | |
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| 1.8083 | 5.0 | 345 | 2.0068 | |
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| 1.7006 | 6.0 | 414 | 1.9867 | |
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| 1.6168 | 7.0 | 483 | 1.9871 | |
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| 1.5344 | 8.0 | 552 | 2.0058 | |
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| 1.4678 | 9.0 | 621 | 2.0054 | |
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| 1.3988 | 10.0 | 690 | 2.0284 | |
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| 1.3369 | 11.0 | 759 | 2.0427 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.19.1 |
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