--- tags: - generated_from_trainer model-index: - name: LLAMA_2_chkpoint_workshop results: [] --- # LLAMA_2_chkpoint_workshop This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.2368 ## 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: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.243 | 0.08 | 200 | 1.2715 | | 1.2144 | 0.16 | 400 | 1.2597 | | 1.2262 | 0.24 | 600 | 1.2551 | | 1.2198 | 0.32 | 800 | 1.2511 | | 1.2053 | 0.41 | 1000 | 1.2482 | | 1.2206 | 0.49 | 1200 | 1.2466 | | 1.2078 | 0.57 | 1400 | 1.2427 | | 1.2077 | 0.65 | 1600 | 1.2415 | | 1.2359 | 0.73 | 1800 | 1.2403 | | 1.1679 | 0.81 | 2000 | 1.2389 | | 1.205 | 0.89 | 2200 | 1.2373 | | 1.1925 | 0.97 | 2400 | 1.2368 | ### Framework versions - Transformers 4.33.0.dev0 - Pytorch 2.0.0+cu118 - Datasets 2.14.4 - Tokenizers 0.13.3