| license: mit | |
| base_model: microsoft/deberta-v3-small | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: output_v3 | |
| 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. --> | |
| # output_v3 | |
| 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: 0.8502 | |
| - Qwk: 0.8024 | |
| ## 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: 1e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Qwk | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| | |
| | 0.8896 | 1.0 | 1731 | 0.8665 | 0.7900 | | |
| | 0.8217 | 2.0 | 3462 | 0.9017 | 0.7786 | | |
| | 0.7622 | 3.0 | 5193 | 0.8461 | 0.8013 | | |
| | 0.6973 | 4.0 | 6924 | 0.8502 | 0.8024 | | |
| ### Framework versions | |
| - Transformers 4.39.3 | |
| - Pytorch 2.1.2 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |