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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: model2-bart-reverse
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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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# model2-bart-reverse
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This model is a fine-tuned version of [theojolliffe/model-2-bart-reverse-raw](https://huggingface.co/theojolliffe/model-2-bart-reverse-raw) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5768
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- Rouge1: 50.0024
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- Rouge2: 44.5149
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- Rougel: 50.408
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- Rougelsum: 50.0015
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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: 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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| No log | 1.0 | 160 | 0.5107 | 54.2246 | 50.7271 | 51.1954 | 54.4944 | 20.0 |
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| No log | 2.0 | 320 | 0.5895 | 48.1317 | 43.4207 | 48.6594 | 48.4308 | 20.0 |
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| No log | 3.0 | 480 | 0.5833 | 51.7747 | 46.8312 | 52.47 | 52.1239 | 20.0 |
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| 0.4286 | 4.0 | 640 | 0.5768 | 50.0024 | 44.5149 | 50.408 | 50.0015 | 20.0 |
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### Framework versions
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- Transformers 4.22.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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