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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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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-base-carvia_nlc2cmd_BART
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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-base-carvia_nlc2cmd_BART
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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: 0.0000
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- Rouge1: 88.8889
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- Rouge2: 85.7143
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- Rougel: 88.8889
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- Rougelsum: 88.8889
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 5
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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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| 0.004 | 1.0 | 1625 | 0.0000 | 88.8889 | 85.7143 | 88.8889 | 88.8889 | 20.0 |
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| 0.0028 | 2.0 | 3250 | 0.0000 | 98.0519 | 97.4952 | 98.0519 | 98.0444 | 20.0 |
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| 0.0014 | 3.0 | 4875 | 0.0000 | 88.8889 | 85.7143 | 88.8889 | 88.8889 | 20.0 |
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| 0.0 | 4.0 | 6500 | 0.0000 | 88.8889 | 85.7143 | 88.8889 | 88.8889 | 20.0 |
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| 0.0 | 5.0 | 8125 | 0.0000 | 88.8889 | 85.7143 | 88.8889 | 88.8889 | 20.0 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.3
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- Tokenizers 0.13.3
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