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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-base-finetuned-kaggglenews-batch8-epochs3
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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-finetuned-kaggglenews-batch8-epochs3
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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: 1.5635
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- Rouge1: 28.2335
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- Rouge2: 16.0201
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- Rougel: 24.0315
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- Rougelsum: 25.647
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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: 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: 3
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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 | 495 | 1.6045 | 27.9354 | 15.7823 | 23.8031 | 25.4267 | 20.0 |
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| 1.9074 | 2.0 | 990 | 1.5744 | 28.3393 | 16.3579 | 24.3135 | 25.6813 | 20.0 |
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| 1.6686 | 3.0 | 1485 | 1.5635 | 28.2335 | 16.0201 | 24.0315 | 25.647 | 20.0 |
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### Framework versions
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- Transformers 4.12.5
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- Pytorch 1.10.0+cu102
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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