--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ model-index: - name: robotics_finetuned_text_perception results: [] --- # robotics_finetuned_text_perception This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1330 ## 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: 0.0002 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.1284 | 0.98 | 11 | 0.7789 | | 0.6556 | 1.96 | 22 | 0.5358 | | 0.4906 | 2.93 | 33 | 0.4536 | | 0.3796 | 4.0 | 45 | 0.3670 | | 0.3298 | 4.98 | 56 | 0.2929 | | 0.2565 | 5.96 | 67 | 0.2295 | | 0.2017 | 6.93 | 78 | 0.1827 | | 0.1484 | 8.0 | 90 | 0.1500 | | 0.138 | 8.98 | 101 | 0.1367 | | 0.1226 | 9.78 | 110 | 0.1330 | ### Framework versions - PEFT 0.10.0 - Transformers 4.39.2 - Pytorch 2.1.0+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2