--- library_name: transformers base_model: fahadqazi/testts1234 tags: - generated_from_trainer model-index: - name: testts1234 results: [] --- # testts1234 This model is a fine-tuned version of [fahadqazi/testts1234](https://huggingface.co/fahadqazi/testts1234) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.3092 ## 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-06 - train_batch_size: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - training_steps: 1500 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-------:|:----:|:---------------:| | 0.3565 | 0.6803 | 100 | 0.3094 | | 0.3532 | 1.3605 | 200 | 0.3091 | | 0.3528 | 2.0408 | 300 | 0.3084 | | 0.3619 | 2.7211 | 400 | 0.3092 | | 0.3574 | 3.4014 | 500 | 0.3088 | | 0.3584 | 4.0816 | 600 | 0.3090 | | 0.3526 | 4.7619 | 700 | 0.3090 | | 0.356 | 5.4422 | 800 | 0.3087 | | 0.3528 | 6.1224 | 900 | 0.3085 | | 0.353 | 6.8027 | 1000 | 0.3091 | | 0.3606 | 7.4830 | 1100 | 0.3087 | | 0.3531 | 8.1633 | 1200 | 0.3088 | | 0.3581 | 8.8435 | 1300 | 0.3088 | | 0.3503 | 9.5238 | 1400 | 0.3086 | | 0.3458 | 10.2041 | 1500 | 0.3092 | ### Framework versions - Transformers 4.47.1 - Pytorch 2.5.1+cu121 - Datasets 3.2.0 - Tokenizers 0.21.0