--- base_model: deepseek-ai/deepseek-coder-1.3b-base tags: - trl - kto - generated_from_trainer model-index: - name: jk3 results: [] --- [Visualize in Weights & Biases](https://wandb.ai/stojchets/huggingface/runs/jk3) # jk3 This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co./deepseek-ai/deepseek-coder-1.3b-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4190 - Eval/rewards/chosen: -2.2928 - Eval/logps/chosen: -126.0955 - Eval/rewards/rejected: -11.3457 - Eval/logps/rejected: -244.2852 - Eval/rewards/margins: 9.0528 - Eval/kl: 0.0 ## 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: 1e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 16 - 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: 0.1 - lr_scheduler_warmup_steps: 200 - num_epochs: 4 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | | |:-------------:|:------:|:----:|:---------------:|:---:| | 0.195 | 0.8533 | 100 | 0.2847 | 0.0 | | 0.0789 | 1.7067 | 200 | 0.3600 | 0.0 | | 0.0461 | 2.56 | 300 | 0.3991 | 0.0 | | 0.0301 | 3.4133 | 400 | 0.4190 | 0.0 | ### Framework versions - Transformers 4.43.0.dev0 - Pytorch 2.2.2+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1