fine_tuned_model

This model is a fine-tuned version of openlm-research/open_llama_3b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7834

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: 3e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• 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: 200
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8094	0.9615	500	0.8477
0.767	1.9231	1000	0.8095
0.7521	2.8846	1500	0.7917
0.7529	3.8462	2000	0.7834

Framework versions

• PEFT 0.13.2
• Transformers 4.46.2
• Pytorch 2.0.1+cu117
• Datasets 3.1.0
• Tokenizers 0.20.3