--- license: other base_model: 01-ai/Yi-34B-200K tags: - trl - sft - generated_from_trainer datasets: - generator model-index: - name: zephyr-34b-sft-full_epoch1 results: [] --- # zephyr-34b-sft-full_epoch1 This model is a fine-tuned version of [01-ai/Yi-34B-200K](https://huggingface.co/01-ai/Yi-34B-200K) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 0.9533 ## 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: 2e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - total_eval_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.9435 | 1.0 | 1026 | 0.9533 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.1.2+cu121 - Datasets 2.14.6 - Tokenizers 0.15.1