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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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