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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pegasus-x-booksum-chapter |
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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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# pegasus-x-booksum-chapter |
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This model is a fine-tuned version of [google/pegasus-x-large](https://huggingface.co/google/pegasus-x-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5993 |
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{'rouge1': 0.23378525407555606, |
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'rouge2': 0.0362962105694859, |
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'rougeL': 0.13587636708639556, |
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'rougeLsum': 0.13593997471043634} |
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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: 32 |
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- total_train_batch_size: 32 |
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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: 200 |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.8377 | 0.67 | 200 | 2.7300 | |
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| 2.7462 | 1.33 | 400 | 2.6613 | |
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| 2.7148 | 2.0 | 600 | 2.6345 | |
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| 2.6242 | 2.67 | 800 | 2.6249 | |
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| 2.5971 | 3.33 | 1000 | 2.6150 | |
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| 2.6103 | 4.0 | 1200 | 2.6092 | |
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| 2.5763 | 4.67 | 1400 | 2.6083 | |
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| 2.5737 | 5.33 | 1600 | 2.6035 | |
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| 2.6252 | 6.0 | 1800 | 2.6007 | |
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| 2.5402 | 6.67 | 2000 | 2.6004 | |
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| 2.5278 | 7.33 | 2200 | 2.6007 | |
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| 2.5173 | 8.0 | 2400 | 2.5993 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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