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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Model tree for viswakimi/english-tamil-colloquial-20250221-093431
Base model
unsloth/tinyllama-chat-bnb-4bit