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--- |
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license: mit |
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base_model: roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-base-ppaverb-5000-1e-06-8 |
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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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# roberta-base-ppaverb-5000-1e-06-8 |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6899 |
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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: 1e-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 1024 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 157 | 0.6937 | |
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| 0.6962 | 2.0 | 314 | 0.6931 | |
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| 0.6934 | 3.0 | 471 | 0.6931 | |
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| 0.6934 | 4.0 | 628 | 0.6929 | |
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| 0.6934 | 5.0 | 785 | 0.6927 | |
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| 0.693 | 6.0 | 942 | 0.6926 | |
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| 0.6933 | 7.0 | 1099 | 0.6924 | |
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| 0.692 | 8.0 | 1256 | 0.6920 | |
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| 0.6911 | 9.0 | 1413 | 0.6918 | |
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| 0.6911 | 10.0 | 1570 | 0.6914 | |
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| 0.6907 | 11.0 | 1727 | 0.6909 | |
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| 0.6888 | 12.0 | 1884 | 0.6902 | |
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| 0.6858 | 13.0 | 2041 | 0.6896 | |
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| 0.6858 | 14.0 | 2198 | 0.6891 | |
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| 0.685 | 15.0 | 2355 | 0.6892 | |
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| 0.6794 | 16.0 | 2512 | 0.6892 | |
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| 0.6779 | 17.0 | 2669 | 0.6899 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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