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--- |
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license: mit |
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base_model: roberta-large |
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tags: |
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- generated_from_trainer |
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datasets: |
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- clinc_oos |
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model-index: |
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- name: output |
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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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# output |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the clinc_oos dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1692 |
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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: 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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3719 | 1.0 | 954 | 0.3159 | |
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| 0.0131 | 2.0 | 1908 | 0.1692 | |
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| 0.0149 | 3.0 | 2862 | 0.1947 | |
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| 0.0179 | 4.0 | 3816 | 0.1907 | |
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| 0.04 | 5.0 | 4770 | 0.1877 | |
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| 0.001 | 6.0 | 5724 | 0.1908 | |
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| 0.0473 | 7.0 | 6678 | 0.1961 | |
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| 0.0007 | 8.0 | 7632 | 0.1960 | |
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| 0.0415 | 9.0 | 8586 | 0.1945 | |
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| 0.0005 | 10.0 | 9540 | 0.1971 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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