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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-500000-1e-06-128 |
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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-500000-1e-06-128 |
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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: 0.6631 |
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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: 512 |
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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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| 0.6859 | 1.0 | 977 | 0.6755 | |
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| 0.6792 | 2.0 | 1954 | 0.6704 | |
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| 0.6756 | 3.0 | 2931 | 0.6678 | |
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| 0.6741 | 4.0 | 3908 | 0.6658 | |
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| 0.6733 | 5.0 | 4885 | 0.6660 | |
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| 0.6721 | 6.0 | 5862 | 0.6645 | |
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| 0.6716 | 7.0 | 6839 | 0.6637 | |
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| 0.6707 | 8.0 | 7816 | 0.6635 | |
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| 0.6688 | 9.0 | 8793 | 0.6640 | |
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| 0.668 | 10.0 | 9770 | 0.6637 | |
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| 0.6669 | 11.0 | 10747 | 0.6630 | |
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| 0.6665 | 12.0 | 11724 | 0.6631 | |
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| 0.6654 | 13.0 | 12701 | 0.6628 | |
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| 0.6657 | 14.0 | 13678 | 0.6628 | |
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| 0.6643 | 15.0 | 14655 | 0.6633 | |
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| 0.6628 | 16.0 | 15632 | 0.6634 | |
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| 0.6637 | 17.0 | 16609 | 0.6631 | |
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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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