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Chitti-Base-model-for-GPT-v10

This model is a fine-tuned version of Dhahlan2000/Chitti-Base-model-for-GPT-v9 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9366
  • Bleu: 3.8252
  • Gen Len: 12.4727

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
3.1655 1.0 9282 2.9457 3.7112 12.4933
3.1308 2.0 18564 2.9366 3.8252 12.4727

Framework versions

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