Chitti-Base-model-for-GPT-v7

This model is a fine-tuned version of 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