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README.md
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: bart-large-cnn-finetuned-xsum
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results: []
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# bart-large-cnn-finetuned-xsum
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-
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- train_batch_size: 3
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- eval_batch_size: 3
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel
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| No log | 1.0 |
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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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-large-cnn-finetuned-xsum
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results: []
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# bart-large-cnn-finetuned-xsum
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7973
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- Rouge1: 24.5661
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- Rouge2: 8.6188
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- Rougel: 17.1387
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- Rougelsum: 18.869
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- Gen Len: 73.1667
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-08
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- train_batch_size: 3
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- eval_batch_size: 3
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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: 2
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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 | 24 | 3.7983 | 24.5842 | 8.6062 | 17.0846 | 18.8412 | 73.3472 |
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| No log | 2.0 | 48 | 3.7973 | 24.5661 | 8.6188 | 17.1387 | 18.869 | 73.1667 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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