--- library_name: transformers tags: - generated_from_trainer model-index: - name: codeparrot-ds results: [] --- # codeparrot-ds This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 4.5904 ## 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: 0.0005 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 256 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 1000 - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:-----:|:---------------:| | 4.9189 | 0.0766 | 5000 | 4.7222 | | 4.6994 | 0.1533 | 10000 | 4.6899 | | 4.6724 | 0.2299 | 15000 | 4.6754 | | 4.6608 | 0.3065 | 20000 | 4.6618 | | 4.6498 | 0.3832 | 25000 | 4.6529 | | 4.6401 | 0.4598 | 30000 | 4.6463 | | 4.6328 | 0.5365 | 35000 | 4.6370 | | 4.6226 | 0.6131 | 40000 | 4.6300 | | 4.6128 | 0.6897 | 45000 | 4.6196 | | 4.6034 | 0.7664 | 50000 | 4.6116 | | 4.5965 | 0.8430 | 55000 | 4.6028 | | 4.5869 | 0.9196 | 60000 | 4.5959 | | 4.5813 | 0.9963 | 65000 | 4.5904 | ### Framework versions - Transformers 4.45.0.dev0 - Pytorch 2.2.0 - Datasets 3.0.0 - Tokenizers 0.19.1