--- library_name: transformers tags: - generated_from_trainer model-index: - name: llama-fin results: [] --- # llama-fin 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: 1.2086 ## 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: 0.0003 - train_batch_size: 32 - eval_batch_size: 32 - 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 - lr_scheduler_warmup_steps: 1000 - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:-----:|:---------------:| | 3.0634 | 0.1593 | 5000 | 1.6380 | | 1.5345 | 0.3185 | 10000 | 1.4842 | | 1.4255 | 0.4778 | 15000 | 1.4151 | | 1.3929 | 0.6370 | 20000 | 1.3720 | | 1.3462 | 0.7963 | 25000 | 1.3367 | | 1.3094 | 0.9555 | 30000 | 1.3087 | | 1.2835 | 1.1148 | 35000 | 1.2838 | | 1.2534 | 1.2740 | 40000 | 1.2605 | | 1.2303 | 1.4333 | 45000 | 1.2407 | | 1.2187 | 1.5926 | 50000 | 1.2244 | | 1.2001 | 1.7518 | 55000 | 1.2133 | | 1.1937 | 1.9111 | 60000 | 1.2086 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.1.0+cu118 - Datasets 3.5.0 - Tokenizers 0.21.1