| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: model_dir |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # model_dir |
| |
| This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0380 |
| - Pearson: 0.9399 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 8e-05 |
| - train_batch_size: 128 |
| - eval_batch_size: 256 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Pearson | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | No log | 1.0 | 12 | 0.2773 | 0.7230 | |
| | No log | 2.0 | 24 | 0.1120 | 0.7812 | |
| | No log | 3.0 | 36 | 0.1090 | 0.8638 | |
| | No log | 4.0 | 48 | 0.0613 | 0.9163 | |
| | No log | 5.0 | 60 | 0.0447 | 0.9409 | |
| | No log | 6.0 | 72 | 0.0356 | 0.9402 | |
| | No log | 7.0 | 84 | 0.0368 | 0.9359 | |
| | No log | 8.0 | 96 | 0.0408 | 0.9295 | |
| | No log | 9.0 | 108 | 0.0397 | 0.9382 | |
| | No log | 10.0 | 120 | 0.0380 | 0.9399 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.24.0 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.6.1 |
| - Tokenizers 0.13.2 |
|
|
