| library_name: transformers | |
| license: mit | |
| base_model: microsoft/mdeberta-v3-base | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: piiranha-gretelai-test | |
| 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. --> | |
| # piiranha-gretelai-test | |
| This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.1008 | |
| - Precision: 0.6935 | |
| - Recall: 0.7739 | |
| - F1: 0.7315 | |
| - Accuracy: 0.9695 | |
| ## 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: 5e-05 | |
| - train_batch_size: 64 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.05 | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.1561 | 0.3342 | 250 | 0.1173 | 0.6640 | 0.7056 | 0.6842 | 0.9655 | | |
| | 0.102 | 0.6684 | 500 | 0.1009 | 0.6870 | 0.7693 | 0.7258 | 0.9687 | | |
| ### Framework versions | |
| - Transformers 4.44.2 | |
| - Pytorch 2.4.1+cu121 | |
| - Datasets 3.0.1 | |
| - Tokenizers 0.19.1 | |