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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-e2-v4-e4-manual
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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-e2-v4-e4-manual
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This model is a fine-tuned version of [theojolliffe/bart-cnn-science-v3-e2](https://huggingface.co/theojolliffe/bart-cnn-science-v3-e2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1223
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- Rouge1: 50.8519
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- Rouge2: 30.3314
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- Rougel: 31.5149
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- Rougelsum: 48.4389
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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: 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 | 42 | 0.9420 | 53.5234 | 33.6131 | 35.8383 | 51.1499 | 142.0 |
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| No log | 2.0 | 84 | 0.9439 | 52.388 | 32.1451 | 35.2339 | 49.6554 | 142.0 |
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| No log | 3.0 | 126 | 1.0321 | 56.2765 | 37.671 | 39.2693 | 53.5596 | 142.0 |
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| No log | 4.0 | 168 | 1.1223 | 50.8519 | 30.3314 | 31.5149 | 48.4389 | 142.0 |
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### Framework versions
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- Transformers 4.20.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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