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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: model_dir
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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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# model_dir
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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: 0.0380
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- Pearson: 0.9399
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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: 128
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- eval_batch_size: 256
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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: 10
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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 | 12 | 0.2773 | 0.7230 |
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| No log | 2.0 | 24 | 0.1120 | 0.7812 |
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| No log | 3.0 | 36 | 0.1090 | 0.8638 |
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| No log | 4.0 | 48 | 0.0613 | 0.9163 |
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| No log | 5.0 | 60 | 0.0447 | 0.9409 |
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| No log | 6.0 | 72 | 0.0356 | 0.9402 |
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| No log | 7.0 | 84 | 0.0368 | 0.9359 |
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| No log | 8.0 | 96 | 0.0408 | 0.9295 |
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| No log | 9.0 | 108 | 0.0397 | 0.9382 |
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| No log | 10.0 | 120 | 0.0380 | 0.9399 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.2
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