--- license: other base_model: facebook/opt-350m tags: - trl - sft - generated_from_trainer model-index: - name: sft_op results: [] --- [Visualize in Weights & Biases](https://wandb.ai/orevaoghenne/huggingface/runs/a300iaya) # sft_op This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.0723 ## 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: 1.41e-05 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 256 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1.0 ### Training results ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1 - Datasets 2.20.0 - Tokenizers 0.19.1