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--- |
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base_model: ccdv/lsg-bart-base-16384-mediasum |
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tags: |
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- generated_from_trainer |
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datasets: |
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- pubmed-summarization |
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model-index: |
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- name: bart-fine-tuned-on-summarization |
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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-fine-tuned-on-summarization |
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This model is a fine-tuned version of [ccdv/lsg-bart-base-16384-mediasum](https://huggingface.co/ccdv/lsg-bart-base-16384-mediasum) on the pubmed-summarization dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7293 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.4477 | 0.2 | 100 | 3.1109 | |
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| 3.0893 | 0.4 | 200 | 2.8719 | |
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| 2.8441 | 0.6 | 300 | 2.7832 | |
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| 2.9203 | 0.8 | 400 | 2.7402 | |
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| 2.9796 | 1.0 | 500 | 2.7293 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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