english-tamil-colloquial-20250221-093431

This model is a fine-tuned version of unsloth/tinyllama-chat-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 13.1114

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: 0.0003
  • train_batch_size: 30
  • eval_batch_size: 30
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 60
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.5516 0.7463 50 13.7235
3.5545 1.4925 100 13.5101
3.5469 2.2388 150 13.0132
3.5493 2.9851 200 13.1999
3.5459 3.7313 250 13.1426
3.5455 4.4776 300 13.1114

Framework versions

  • PEFT 0.14.0
  • Transformers 4.48.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0
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