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--- |
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base_model: haesun/pegasus-samsum |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pegasus-ft |
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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-ft |
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This model is a fine-tuned version of [haesun/pegasus-samsum](https://huggingface.co/haesun/pegasus-samsum) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9779 |
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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: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.1074 | 0.19 | 100 | 2.0692 | |
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| 1.9296 | 0.37 | 200 | 2.0481 | |
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| 1.9456 | 0.56 | 300 | 2.0364 | |
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| 1.9674 | 0.74 | 400 | 2.0205 | |
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| 2.0887 | 0.93 | 500 | 2.0043 | |
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| 2.0733 | 1.11 | 600 | 2.0023 | |
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| 1.9111 | 1.3 | 700 | 1.9991 | |
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| 1.887 | 1.48 | 800 | 1.9917 | |
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| 2.0347 | 1.67 | 900 | 1.9855 | |
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| 1.8488 | 1.85 | 1000 | 1.9838 | |
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| 1.7699 | 2.04 | 1100 | 1.9800 | |
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| 1.7386 | 2.22 | 1200 | 1.9795 | |
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| 1.8828 | 2.41 | 1300 | 1.9804 | |
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| 1.8072 | 2.59 | 1400 | 1.9808 | |
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| 1.898 | 2.78 | 1500 | 1.9785 | |
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| 1.9452 | 2.96 | 1600 | 1.9779 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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