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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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model-index:
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- name: outputs
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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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# outputs
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This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0837
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- Pearson: 0.6399
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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: 8e-05
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- train_batch_size: 256
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- eval_batch_size: 512
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 4
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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 | Pearson |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| No log | 1.0 | 6 | 0.0729 | 0.5899 |
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| No log | 2.0 | 12 | 0.0813 | 0.5655 |
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| No log | 3.0 | 18 | 0.0735 | 0.6686 |
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| No log | 4.0 | 24 | 0.0837 | 0.6399 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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