--- license: mit tags: - generated_from_trainer model-index: - name: codeparrot-ds results: [] --- # codeparrot-ds This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.0616 ## 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 | |:-------------:|:-----:|:-----:|:---------------:| | 2.5686 | 0.08 | 5000 | 1.7434 | | 1.6823 | 0.15 | 10000 | 1.5212 | | 1.5348 | 0.23 | 15000 | 1.4221 | | 1.4546 | 0.31 | 20000 | 1.3565 | | 1.3952 | 0.38 | 25000 | 1.3059 | | 1.344 | 0.46 | 30000 | 1.2581 | | 1.2978 | 0.54 | 35000 | 1.2138 | | 1.2525 | 0.61 | 40000 | 1.1716 | | 1.2109 | 0.69 | 45000 | 1.1324 | | 1.1737 | 0.77 | 50000 | 1.0998 | | 1.1441 | 0.84 | 55000 | 1.0769 | | 1.1234 | 0.92 | 60000 | 1.0644 | | 1.1155 | 1.0 | 65000 | 1.0616 | ### Framework versions - Transformers 4.29.2 - Pytorch 1.7.1 - Datasets 2.12.0 - Tokenizers 0.13.3