--- license: other base_model: stabilityai/stablelm-2-1_6b tags: - choo-choo - trl - sft - generated_from_trainer - trl - sft - generated_from_trainer datasets: - generator model-index: - name: stablelm-2-1.6-disticoder-v0.1 results: [] --- # stablelm-2-1.6-disticoder-v0.1 This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) on the argilla/DistiCoder-dpo-binarized dataset. It achieves the following results on the evaluation set: - Loss: 1.1315 ## 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: 8 - eval_batch_size: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 4 - total_train_batch_size: 128 - total_eval_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.7319 | 0.44 | 5 | 1.5441 | | 1.3425 | 0.89 | 10 | 1.2968 | | 1.1709 | 1.33 | 15 | 1.2151 | | 1.0994 | 1.78 | 20 | 1.1605 | | 1.0287 | 2.22 | 25 | 1.1382 | | 1.0303 | 2.67 | 30 | 1.1315 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.1+cu121 - Datasets 2.16.1 - Tokenizers 0.15.2