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--- |
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base_model: google/pegasus-x-base |
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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: pegasus-x-base_readme_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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# pegasus-x-base_readme_summarization |
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This model is a fine-tuned version of [google/pegasus-x-base](https://huggingface.co/google/pegasus-x-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1283 |
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- Rouge1: 0.4524 |
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- Rouge2: 0.3245 |
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- Rougel: 0.4254 |
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- Rougelsum: 0.4258 |
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- Gen Len: 52.0983 |
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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: 1 |
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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: 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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| 2.4802 | 1.0 | 5831 | 2.2968 | 0.4311 | 0.302 | 0.4037 | 0.4031 | 57.5564 | |
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| 2.245 | 2.0 | 11662 | 2.1924 | 0.455 | 0.3252 | 0.4263 | 0.4261 | 52.2794 | |
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| 2.0892 | 3.0 | 17493 | 2.1347 | 0.4578 | 0.3294 | 0.4306 | 0.4305 | 53.9041 | |
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| 1.9962 | 4.0 | 23324 | 2.1283 | 0.4524 | 0.3245 | 0.4254 | 0.4258 | 52.0983 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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