--- license: llama2 library_name: peft tags: - trl - sft - generated_from_trainer datasets: - generator base_model: sarvamai/OpenHathi-7B-Hi-v0.1-Base model-index: - name: OpenHathi-7B-v0.1-instruct results: [] --- # OpenHathi-7B-v0.1-instruct This model is a fine-tuned version of [sarvamai/OpenHathi-7B-Hi-v0.1-Base](https://huggingface.co./sarvamai/OpenHathi-7B-Hi-v0.1-Base) on the generator dataset. It achieves the following results on the evaluation set: - Loss: 1.0218 ## 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: 0.0005 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.1606 | 0.97 | 21 | 1.0843 | | 0.9479 | 1.93 | 42 | 1.0218 | ### Framework versions - PEFT 0.8.2.dev0 - Transformers 4.38.0.dev0 - Pytorch 2.1.1+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1