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--- |
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license: mit |
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base_model: facebook/bart-large-cnn |
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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: cdc_influenza_bart_large_cnn |
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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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# cdc_influenza_bart_large_cnn |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1632 |
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- Rouge1: 0.536 |
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- Rouge2: 0.408 |
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- Rougel: 0.4456 |
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- Rougelsum: 0.4456 |
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- Gen Len: 83.0 |
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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: 32 |
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- eval_batch_size: 32 |
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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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| No log | 1.0 | 1 | 0.2147 | 0.525 | 0.3844 | 0.4633 | 0.4633 | 77.5 | |
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| No log | 2.0 | 2 | 0.1895 | 0.5407 | 0.4076 | 0.4735 | 0.4735 | 79.25 | |
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| No log | 3.0 | 3 | 0.1725 | 0.5407 | 0.4037 | 0.4542 | 0.4542 | 80.25 | |
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| No log | 4.0 | 4 | 0.1632 | 0.536 | 0.408 | 0.4456 | 0.4456 | 83.0 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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