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--- |
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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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metrics: |
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- rouge |
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model-index: |
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- name: bart_booksum_1 |
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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_booksum_1 |
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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: 3.0264 |
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- Rouge1: 0.1795 |
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- Rouge2: 0.0368 |
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- Rougel: 0.1337 |
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- Rougelsum: 0.1334 |
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- Gen Len: 20.0 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 1515 |
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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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| 3.8176 | 1.0 | 80 | 3.0712 | 0.1765 | 0.0372 | 0.1298 | 0.1299 | 20.0 | |
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| 3.3835 | 2.0 | 160 | 3.0365 | 0.1871 | 0.0444 | 0.1382 | 0.1382 | 20.0 | |
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| 3.2162 | 3.0 | 240 | 3.0281 | 0.1892 | 0.0426 | 0.1385 | 0.1383 | 20.0 | |
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| 3.1147 | 4.0 | 320 | 3.0264 | 0.1795 | 0.0368 | 0.1337 | 0.1334 | 20.0 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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