Chitti-Base-model-for-GPT-v8

This model is a fine-tuned version of Dhahlan2000/Chitti-Base-model-for-GPT-v7 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.9673
• Bleu: 3.6022
• Gen Len: 12.524

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: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
3.1567	1.0	9282	2.9746	3.6582	12.4893
3.1552	2.0	18564	2.9673	3.6022	12.524

Framework versions

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