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--- |
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license: apache-2.0 |
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base_model: MeetK/bart_summarisation |
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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_summarisation |
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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_summarisation |
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This model is a fine-tuned version of [MeetK/bart_summarisation](https://huggingface.co/MeetK/bart_summarisation) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7168 |
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- Rouge1: 0.3288 |
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- Rouge2: 0.1335 |
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- Rougel: 0.2493 |
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- Rougelsum: 0.2495 |
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- Gen Len: 61.398 |
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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: 16 |
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- eval_batch_size: 1 |
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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 | 313 | 1.6942 | 0.3296 | 0.1385 | 0.2507 | 0.2507 | 60.888 | |
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| 1.4988 | 2.0 | 626 | 1.7168 | 0.3288 | 0.1335 | 0.2493 | 0.2495 | 61.398 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cpu |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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