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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pegasus-base-qag-bg-finetuned-punctuation-bg |
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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-base-qag-bg-finetuned-punctuation-bg |
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This model is a fine-tuned version of [rmihaylov/pegasus-base-qag-bg](https://huggingface.co/rmihaylov/pegasus-base-qag-bg) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0318 |
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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: 5.6e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 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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| 0.0563 | 1.0 | 4063 | 0.0279 | |
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| 0.0301 | 2.0 | 8126 | 0.0260 | |
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| 0.0227 | 3.0 | 12189 | 0.0259 | |
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| 0.0178 | 4.0 | 16252 | 0.0281 | |
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| 0.0145 | 5.0 | 20315 | 0.0290 | |
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| 0.0122 | 6.0 | 24378 | 0.0300 | |
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| 0.0105 | 7.0 | 28441 | 0.0305 | |
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| 0.0095 | 8.0 | 32504 | 0.0318 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.0 |
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- Tokenizers 0.13.2 |
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