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--- |
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license: mit |
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base_model: microsoft/deberta-base-mnli |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: deberta_base_all |
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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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# deberta_base_all |
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This model is a fine-tuned version of [microsoft/deberta-base-mnli](https://huggingface.co/microsoft/deberta-base-mnli) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4071 |
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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: 5e-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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- 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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| 0.5695 | 1.0 | 1949 | 0.4123 | |
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| 0.1587 | 2.0 | 3898 | 0.3700 | |
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| 0.0671 | 3.0 | 5847 | 0.3963 | |
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| 0.1556 | 4.0 | 7796 | 0.3373 | |
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| 0.103 | 5.0 | 9745 | 0.3485 | |
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| 0.1483 | 6.0 | 11694 | 0.4014 | |
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| 0.166 | 7.0 | 13643 | 0.3890 | |
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| 0.0515 | 8.0 | 15592 | 0.3875 | |
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| 0.0664 | 9.0 | 17541 | 0.4162 | |
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| 0.0321 | 10.0 | 19490 | 0.4071 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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