--- library_name: transformers tags: - trl - sft - generated_from_trainer model-index: - name: llama_1b_step2_batch_v6 results: [] --- # llama_1b_step2_batch_v6 This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3421 ## 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: 16 - eval_batch_size: 40 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 64 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.6666 | 0.2725 | 50 | 0.7040 | | 0.5175 | 0.5450 | 100 | 0.4999 | | 0.392 | 0.8174 | 150 | 0.4077 | | 0.2482 | 1.0899 | 200 | 0.3762 | | 0.2476 | 1.3624 | 250 | 0.3570 | | 0.2042 | 1.6349 | 300 | 0.3457 | | 0.2602 | 1.9074 | 350 | 0.3421 | ### Framework versions - Transformers 4.46.0 - Pytorch 2.1.0+cu118 - Datasets 3.0.2 - Tokenizers 0.20.1