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--- |
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license: apache-2.0 |
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base_model: facebook/bart-large |
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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: model |
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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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# model |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9659 |
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- Rouge1: 0.6514 |
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- Rouge2: 0.5278 |
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- Rougel: 0.6214 |
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- Rougelsum: 0.6209 |
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- Gen Len: 19.9082 |
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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: 4 |
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- eval_batch_size: 4 |
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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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| 0.9746 | 1.0 | 3363 | 0.9969 | 0.6465 | 0.5254 | 0.6176 | 0.6175 | 19.9014 | |
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| 0.7439 | 2.0 | 6726 | 0.9272 | 0.6516 | 0.5291 | 0.6221 | 0.6216 | 19.8652 | |
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| 0.5953 | 3.0 | 10089 | 0.9432 | 0.6533 | 0.5293 | 0.6231 | 0.6228 | 19.8943 | |
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| 0.4824 | 4.0 | 13452 | 0.9659 | 0.6514 | 0.5278 | 0.6214 | 0.6209 | 19.9082 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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