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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: headline_geneartor
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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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# headline_geneartor
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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: 1.8033
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- Rouge1: 0.4798
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- Rouge2: 0.2432
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- Rougel: 0.4377
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- Rougelsum: 0.4375
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- Gen Len: 17.7487
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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: 4
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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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| 2.1366 | 1.0 | 3557 | 1.8742 | 0.4718 | 0.2344 | 0.4309 | 0.4308 | 17.7863 |
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| 1.8889 | 2.0 | 7114 | 1.8210 | 0.4741 | 0.2392 | 0.433 | 0.4329 | 17.7028 |
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| 1.7281 | 3.0 | 10671 | 1.8087 | 0.4797 | 0.2417 | 0.4374 | 0.4372 | 17.7501 |
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| 1.6333 | 4.0 | 14228 | 1.8033 | 0.4798 | 0.2432 | 0.4377 | 0.4375 | 17.7487 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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