Chitti-Base-model-for-GPT-v11

This model is a fine-tuned version of Dhahlan2000/Chitti-Large-model-for-GPT-v11 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.4147
• Bleu: 34.6359
• Gen Len: 4.4545

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	65	1.6932	12.1428	5.0909
No log	2.0	130	1.5630	28.3754	4.6364
No log	3.0	195	1.4900	27.9945	4.6364
No log	4.0	260	1.4456	27.9945	4.6364
No log	5.0	325	1.4220	34.6359	4.4545
No log	6.0	390	1.4147	34.6359	4.4545

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1