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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-model2-3110-e4
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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-model2-3110-e4
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This model is a fine-tuned version of [theojolliffe/bart-paraphrase-v4-e1-feedback](https://huggingface.co/theojolliffe/bart-paraphrase-v4-e1-feedback) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0700
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- Rouge1: 70.0692
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- Rouge2: 68.1457
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- Rougel: 69.8943
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- Rougelsum: 70.0389
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- Gen Len: 19.8966
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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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| 0.5951 | 1.0 | 553 | 0.3089 | 62.5675 | 54.7411 | 61.2646 | 61.3675 | 19.7241 |
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| 0.2541 | 2.0 | 1106 | 0.1432 | 66.113 | 61.964 | 64.6141 | 64.9187 | 19.8966 |
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| 0.1547 | 3.0 | 1659 | 0.0964 | 68.6902 | 64.938 | 67.6197 | 67.9181 | 19.8966 |
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| 0.1141 | 4.0 | 2212 | 0.1015 | 68.9122 | 66.4279 | 68.4906 | 68.5758 | 19.8966 |
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| 0.0728 | 5.0 | 2765 | 0.0819 | 69.2271 | 66.8276 | 68.6915 | 68.849 | 19.8966 |
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| 0.0563 | 6.0 | 3318 | 0.0700 | 70.0692 | 68.1457 | 69.8943 | 70.0389 | 19.8966 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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