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update model card README.md
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README.md
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---
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license: mit
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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-cnn-science-v3-e6
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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-cnn-science-v3-e6
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This model is a fine-tuned version of [theojolliffe/bart-cnn-science](https://huggingface.co/theojolliffe/bart-cnn-science) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8057
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- Rouge1: 53.7462
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- Rouge2: 34.9622
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- Rougel: 37.5676
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- Rougelsum: 51.0619
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- Gen Len: 142.0
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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: 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: 6
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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 | 398 | 0.9961 | 52.632 | 32.8104 | 35.0789 | 50.3747 | 142.0 |
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| 1.174 | 2.0 | 796 | 0.8565 | 52.8308 | 32.7064 | 34.6605 | 50.3348 | 142.0 |
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| 0.7073 | 3.0 | 1194 | 0.8322 | 52.2418 | 32.8677 | 36.1806 | 49.6297 | 141.5556 |
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| 0.4867 | 4.0 | 1592 | 0.8137 | 53.5537 | 34.5404 | 36.7194 | 50.8394 | 142.0 |
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| 0.4867 | 5.0 | 1990 | 0.7996 | 53.4959 | 35.1017 | 37.5143 | 50.9972 | 141.8704 |
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| 0.3529 | 6.0 | 2388 | 0.8057 | 53.7462 | 34.9622 | 37.5676 | 51.0619 | 142.0 |
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### Framework versions
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- Transformers 4.19.2
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.2
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- Tokenizers 0.12.1
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