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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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metrics: |
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- rouge |
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model-index: |
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- name: bart-large_readme_summarization |
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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-large_readme_summarization |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8286 |
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- Rouge1: 0.5485 |
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- Rouge2: 0.4096 |
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- Rougel: 0.5242 |
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- Rougelsum: 0.524 |
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- Gen Len: 15.1271 |
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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: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 2.1578 | 1.0 | 2916 | 1.9917 | 0.489 | 0.3382 | 0.4619 | 0.4618 | 15.9544 | |
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| 1.5841 | 2.0 | 5832 | 1.8486 | 0.5197 | 0.3778 | 0.4948 | 0.4942 | 15.0384 | |
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| 1.2896 | 3.0 | 8748 | 1.8169 | 0.5445 | 0.3982 | 0.5188 | 0.5192 | 13.994 | |
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| 1.0315 | 4.0 | 11664 | 1.8286 | 0.5485 | 0.4096 | 0.5242 | 0.524 | 15.1271 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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