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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: plbart-base-finetuned-src_fm_fc_ms_ff-to-test |
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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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# plbart-base-finetuned-src_fm_fc_ms_ff-to-test |
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This model is a fine-tuned version of [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2093 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3796 | 1.0 | 1125 | 0.2741 | |
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| 0.2482 | 2.0 | 2250 | 0.2372 | |
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| 0.2077 | 3.0 | 3375 | 0.2200 | |
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| 0.1841 | 4.0 | 4500 | 0.2121 | |
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| 0.1704 | 5.0 | 5625 | 0.2093 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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