| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: SetFit/subj | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: microsoft-deberta-v3-large_cls_subj | |
| 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. --> | |
| # microsoft-deberta-v3-large_cls_subj | |
| This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co./microsoft/deberta-v3-large) on [subj](https://huggingface.co./datasets/SetFit/subj) dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1525 | |
| - Accuracy: 0.976 | |
| ## 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: 2e-05 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.2 | |
| - num_epochs: 5 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.2629 | 1.0 | 500 | 0.1519 | 0.955 | | |
| | 0.1232 | 2.0 | 1000 | 0.1121 | 0.974 | | |
| | 0.0535 | 3.0 | 1500 | 0.1341 | 0.974 | | |
| | 0.0152 | 4.0 | 2000 | 0.1794 | 0.969 | | |
| | 0.0043 | 5.0 | 2500 | 0.1525 | 0.976 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cu116 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |