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update model card README.md
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README.md
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---
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license: apache-2.0
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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-ingredients-extract
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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-ingredients-extract
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This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-6](https://huggingface.co/sshleifer/distilbart-xsum-12-6) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3434
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- Rouge1: 44.3464
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- Rouge2: 25.67
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- Rougel: 44.3032
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- Rougelsum: 44.3007
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- Gen Len: 16.2697
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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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| 0.7151 | 1.0 | 1552 | 0.5275 | 53.7819 | 31.247 | 53.7202 | 53.7078 | 12.9069 |
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| 0.5151 | 2.0 | 3104 | 0.4429 | 49.9951 | 28.9098 | 49.9357 | 49.9016 | 13.4797 |
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| 0.4237 | 3.0 | 4656 | 0.3622 | 52.4925 | 31.4498 | 52.4645 | 52.4606 | 13.5396 |
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| 0.3644 | 4.0 | 6208 | 0.3434 | 44.3464 | 25.67 | 44.3032 | 44.3007 | 16.2697 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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