--- license: other base_model: deepseek-ai/deepseek-coder-6.7b-instruct tags: - generated_from_trainer model-index: - name: deepseek-coder-6.7b-instruct_finetuned_manim_pile_context_1024 results: [] --- # deepseek-coder-6.7b-instruct_finetuned_manim_pile_context_1024 This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.4284 ## 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: 2e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 460 | 1.4809 | | 1.5304 | 2.0 | 921 | 1.4426 | | 1.4605 | 3.0 | 1380 | 1.4284 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.1.0+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2