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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: deberta-v3-large__sst2__train-16-6
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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-v3-large__sst2__train-16-6
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6846
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- Accuracy: 0.5058
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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: 4
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- eval_batch_size: 4
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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: 50
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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 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6673 | 1.0 | 7 | 0.7580 | 0.2857 |
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| 0.5896 | 2.0 | 14 | 0.7885 | 0.5714 |
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| 0.5294 | 3.0 | 21 | 1.0040 | 0.4286 |
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| 0.3163 | 4.0 | 28 | 1.1761 | 0.5714 |
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| 0.1315 | 5.0 | 35 | 1.4315 | 0.4286 |
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| 0.0312 | 6.0 | 42 | 2.6115 | 0.2857 |
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| 0.1774 | 7.0 | 49 | 2.1631 | 0.5714 |
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| 0.0052 | 8.0 | 56 | 2.3838 | 0.4286 |
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| 0.0043 | 9.0 | 63 | 2.6553 | 0.4286 |
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| 0.0032 | 10.0 | 70 | 2.2774 | 0.4286 |
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| 0.0015 | 11.0 | 77 | 1.9467 | 0.7143 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.2
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- Tokenizers 0.10.3
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