| <!-- --- | |
| base_model: /teamspace/studios/this_studio/output/sft_merge | |
| library_name: peft | |
| license: other | |
| tags: | |
| - llama-factory | |
| - lora | |
| - unsloth | |
| - generated_from_trainer | |
| model-index: | |
| - name: Mistral_End | |
| results: [] | |
| --- --> | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # Mistral_End | |
| This model is a fine-tuned version of [/teamspace/studios/this_studio/output/sft_merge](https://huggingface.co//teamspace/studios/this_studio/output/sft_merge) on the WordProblems_SFT_LLama_End dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0767 | |
| ## 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 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 2.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:------:|:----:|:---------------:| | |
| | 0.0893 | 0.2339 | 500 | 0.0972 | | |
| | 0.0753 | 0.4679 | 1000 | 0.0879 | | |
| | 0.071 | 0.7018 | 1500 | 0.0841 | | |
| | 0.0678 | 0.9358 | 2000 | 0.0813 | | |
| | 0.0697 | 1.1697 | 2500 | 0.0799 | | |
| | 0.0553 | 1.4037 | 3000 | 0.0783 | | |
| | 0.057 | 1.6376 | 3500 | 0.0772 | | |
| | 0.0599 | 1.8716 | 4000 | 0.0767 | | |
| ### Framework versions | |
| - PEFT 0.12.0 | |
| - Transformers 4.43.4 | |
| - Pytorch 2.3.0 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 |