tinyllama-lora-squad_16_5e-04_2_lora16_qkv

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0045

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: 0.0005
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• 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: 100
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.0285	0.1995	217	0.0079
0.0055	0.3990	434	0.0061
0.0047	0.5985	651	0.0053
0.0043	0.7980	868	0.0049
0.0043	0.9975	1085	0.0048
0.0034	1.1967	1302	0.0048
0.0033	1.3962	1519	0.0046
0.0031	1.5957	1736	0.0047
0.0031	1.7952	1953	0.0045
0.0032	1.9947	2170	0.0045

Framework versions

• PEFT 0.15.2
• Transformers 4.52.4
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.21.1