--- base_model: microsoft/Phi-3.5-mini-instruct library_name: peft license: mit tags: - trl - sft - generated_from_trainer model-index: - name: Phi-3.5-MultiCap-mt-3 results: [] --- # Phi-3.5-MultiCap-mt-3 This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.7230 ## 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: 16 - eval_batch_size: 16 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.9734 | 0.5109 | 50 | 0.9494 | | 0.7485 | 1.0217 | 100 | 0.7879 | | 0.7596 | 1.5326 | 150 | 0.7474 | | 0.7459 | 2.0434 | 200 | 0.7302 | | 0.7471 | 2.5543 | 250 | 0.7230 | ### Framework versions - PEFT 0.12.0 - Transformers 4.44.2 - Pytorch 2.4.0+cu124 - Datasets 2.21.0 - Tokenizers 0.19.1