Chitti-Base-model-for-GPT-v9

This model is a fine-tuned version of Dhahlan2000/Chitti-Base-model-for-GPT-v8 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.8886
• Bleu: 4.3804
• Gen Len: 12.624

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
3.1399	1.0	9282	2.9151	3.8681	12.7067
3.1171	2.0	18564	2.9030	4.1487	12.6253
3.0915	3.0	27846	2.8906	4.1716	12.722
3.0923	4.0	37128	2.8886	4.3804	12.624

Framework versions

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