english-tamil-colloquial-translator

This model is a fine-tuned version of unsloth/meta-llama-3.1-8b-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 11.3973

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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: 50
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
11.3961	1.0	2	11.3973
11.3999	2.0	4	11.3973
11.3975	3.0	6	11.3973
11.3923	4.0	8	11.3973
11.3941	5.0	10	11.3973
11.4001	6.0	12	11.3973
11.3912	7.0	14	11.3973
11.3976	8.0	16	11.3973
11.3975	9.0	18	11.3973
11.399	10.0	20	11.3973

Framework versions

• PEFT 0.14.0
• Transformers 4.48.3
• Pytorch 2.6.0+cu124
• Datasets 3.3.1
• Tokenizers 0.21.0