english-telugu-colloquial-translator

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: 8.5598

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• 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: 2
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
13.2884	0.5	2	8.9285
13.9435	1.0	4	8.9285
13.7391	1.5	6	8.9285
13.7398	2.0	8	8.9285
13.7733	2.5	10	8.9285
13.5076	3.0	12	8.9285
13.5924	3.5	14	8.9285
13.7615	4.0	16	8.9419
11.0456	4.5	18	8.9187
11.3598	5.0	20	8.9014
9.2327	5.5	22	8.8438
5.8707	6.0	24	8.7756
4.1892	6.5	26	8.6635
4.3158	7.0	28	8.6019
3.4738	7.5	30	8.5882
3.3612	8.0	32	8.5561
2.9808	8.5	34	8.5350
2.4487	9.0	36	8.5093
2.6978	9.5	38	8.5264
2.3509	10.0	40	8.5598

Framework versions

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