--- license: apache-2.0 base_model: Dhahlan2000/Chitti-Base-model-for-GPT-v11 tags: - generated_from_trainer metrics: - bleu model-index: - name: Chitti-Large-model-for-GPT-v12 results: [] --- # Chitti-Large-model-for-GPT-v12 This model is a fine-tuned version of [Dhahlan2000/Chitti-Base-model-for-GPT-v11](https://huggingface.co/Dhahlan2000/Chitti-Base-model-for-GPT-v11) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.6474 - Bleu: 0.0 - Gen Len: 2.9375 ## 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: 6 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:----:|:-------:| | No log | 1.0 | 98 | 2.8825 | 0.0 | 2.9375 | | No log | 2.0 | 196 | 2.7710 | 0.0 | 3.0 | | No log | 3.0 | 294 | 2.6990 | 0.0 | 2.875 | | No log | 4.0 | 392 | 2.6685 | 0.0 | 2.9375 | | No log | 5.0 | 490 | 2.6490 | 0.0 | 2.9375 | | 3.4263 | 6.0 | 588 | 2.6474 | 0.0 | 2.9375 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1