--- license: apache-2.0 base_model: Dhahlan2000/Chitti-Base-model-for-GPT-v6 tags: - generated_from_trainer metrics: - bleu model-index: - name: Chitti-Base-model-for-GPT-v7 results: [] --- # Chitti-Base-model-for-GPT-v7 This model is a fine-tuned version of [Dhahlan2000/Chitti-Base-model-for-GPT-v6](https://huggingface.co/Dhahlan2000/Chitti-Base-model-for-GPT-v6) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.9886 - Bleu: 3.9298 - Gen Len: 12.3167 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| | 3.2472 | 1.0 | 9282 | 3.0258 | 3.4033 | 12.52 | | 3.2282 | 2.0 | 18564 | 3.0057 | 3.6317 | 12.416 | | 3.2089 | 3.0 | 27846 | 2.9930 | 3.953 | 12.3507 | | 3.1887 | 4.0 | 37128 | 2.9886 | 3.9298 | 12.3167 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1