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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- clupubhealth |
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metrics: |
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- rouge |
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model-index: |
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- name: clupubhealth-mini-test-3 |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: clupubhealth |
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type: clupubhealth |
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config: mini |
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split: test |
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args: mini |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 30.0438 |
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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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# clupubhealth-mini-test-3 |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the clupubhealth dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4191 |
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- Rouge1: 30.0438 |
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- Rouge2: 10.2364 |
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- Rougel: 20.066 |
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- Rougelsum: 20.1703 |
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- Gen Len: 19.6 |
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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: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 10 |
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- total_train_batch_size: 20 |
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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: 1 |
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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 | 0.5 | 5 | 2.5258 | 25.7171 | 6.7541 | 16.6375 | 17.2026 | 20.0 | |
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| 3.0394 | 1.0 | 10 | 2.4191 | 30.0438 | 10.2364 | 20.066 | 20.1703 | 19.6 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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