--- license: apache-2.0 base_model: JackFram/llama-68m tags: - generated_from_trainer metrics: - accuracy model-index: - name: ShareGPT_llama2_68M results: [] --- # ShareGPT_llama2_68M This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.3636 - Accuracy: 0.5808 ## 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: 0.0001 - train_batch_size: 24 - eval_batch_size: 48 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.05 - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:------:|:-----:|:---------------:|:--------:| | 3.406 | 0.2644 | 1000 | 3.2345 | 0.5035 | | 2.8119 | 0.5288 | 2000 | 2.8214 | 0.5365 | | 2.607 | 0.7932 | 3000 | 2.6572 | 0.5498 | | 2.4734 | 1.0576 | 4000 | 2.5736 | 0.5582 | | 2.4335 | 1.3221 | 5000 | 2.5336 | 0.5617 | | 2.3858 | 1.5865 | 6000 | 2.4896 | 0.5663 | | 2.374 | 1.8509 | 7000 | 2.4711 | 0.5681 | | 2.3044 | 2.1153 | 8000 | 2.4485 | 0.5702 | | 2.2873 | 2.3797 | 9000 | 2.4132 | 0.5747 | | 2.2669 | 2.6441 | 10000 | 2.3879 | 0.5778 | | 2.2463 | 2.9085 | 11000 | 2.3636 | 0.5808 | ### Framework versions - Transformers 4.41.0.dev0 - Pytorch 2.1.0+cu121 - Datasets 2.19.1 - Tokenizers 0.19.1