--- base_model: mistralai/Mistral-7B-v0.3 datasets: - llama-duo/synth_coding_dataset_dedup library_name: peft license: apache-2.0 tags: - alignment-handbook - trl - sft - generated_from_trainer model-index: - name: mistral_7b_0_3-coding-gpt4o-100k2 results: [] --- # mistral_7b_0_3-coding-gpt4o-100k2 This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the llama-duo/synth_coding_dataset_dedup dataset. It achieves the following results on the evaluation set: - Loss: 1.1573 ## 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: 4 - eval_batch_size: 2 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 2 - total_train_batch_size: 32 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 0.419 | 0.9992 | 640 | 1.0503 | | 0.3829 | 2.0 | 1281 | 1.0418 | | 0.3774 | 2.9992 | 1921 | 1.0361 | | 0.355 | 4.0 | 2562 | 1.0419 | | 0.3413 | 4.9992 | 3202 | 1.0548 | | 0.318 | 6.0 | 3843 | 1.0761 | | 0.3056 | 6.9992 | 4483 | 1.1023 | | 0.2857 | 8.0 | 5124 | 1.1256 | | 0.2732 | 8.9992 | 5764 | 1.1472 | | 0.2714 | 9.9922 | 6400 | 1.1573 | ### Framework versions - PEFT 0.12.0 - Transformers 4.44.0 - Pytorch 2.4.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1