--- license: mit base_model: gpt2 tags: - generated_from_trainer model-index: - name: tn_bacem_gpt2 results: [] --- [Visualize in Weights & Biases](https://wandb.ai/bacemtayeb/huggingface/runs/k2tuk6mo) [Visualize in Weights & Biases](https://wandb.ai/bacemtayeb/huggingface/runs/k2tuk6mo) [Visualize in Weights & Biases](https://wandb.ai/bacemtayeb/huggingface/runs/k2tuk6mo) [Visualize in Weights & Biases](https://wandb.ai/bacemtayeb/huggingface/runs/k2tuk6mo) # tn_bacem_gpt2 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset. It achieves the following results on the evaluation set: - Loss: 5.7826 ## 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: 10 - eval_batch_size: 10 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 40 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 500 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 6.4315 | 2.5974 | 500 | 5.7826 | ### Framework versions - Transformers 4.42.3 - Pytorch 2.1.2 - Datasets 2.20.0 - Tokenizers 0.19.1