--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: results results: [] --- # results This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.7225 - Accuracy: 0.6416 ## 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: 0.0001 - 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: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:----:|:---------------:|:--------:| | 3.6926 | 0.5587 | 100 | 2.4932 | 0.5508 | | 3.4971 | 1.1173 | 200 | 2.1649 | 0.5738 | | 2.7013 | 1.6760 | 300 | 2.1019 | 0.5801 | | 2.0768 | 2.2346 | 400 | 2.4828 | 0.6241 | | 1.4108 | 2.7933 | 500 | 2.3521 | 0.6471 | | 1.0545 | 3.3520 | 600 | 2.5568 | 0.6115 | | 0.707 | 3.9106 | 700 | 2.5198 | 0.6304 | | 0.4998 | 4.4693 | 800 | 2.8322 | 0.6314 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1