--- license: other library_name: peft tags: - llama-factory - lora - generated_from_trainer base_model: /data1/model/llama2/meta-llama/Llama2-13b model-index: - name: play_dialog_same_or_different_no_sys results: [] --- # play_dialog_same_or_different_no_sys This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the play_dialog_same_or_different_no_sys dataset. It achieves the following results on the evaluation set: - Loss: 0.3175 ## 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: 5e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - distributed_type: multi-GPU - num_devices: 2 - total_train_batch_size: 8 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 20 - num_epochs: 5.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.3588 | 0.3215 | 100 | 0.3202 | | 0.321 | 0.6431 | 200 | 0.3241 | | 0.3268 | 0.9646 | 300 | 0.3193 | | 0.34 | 1.2862 | 400 | 0.3250 | | 0.3221 | 1.6077 | 500 | 0.3175 | | 0.3193 | 1.9293 | 600 | 0.3194 | | 0.339 | 2.2508 | 700 | 0.3211 | | 0.3347 | 2.5723 | 800 | 0.3262 | ### Framework versions - PEFT 0.10.0 - Transformers 4.40.0 - Pytorch 2.2.1 - Datasets 2.18.0 - Tokenizers 0.19.1