phi-3-mini-QLoRA

This model is a fine-tuned version of microsoft/phi-1_5 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0	0.6329	100	nan
0.0	1.2658	200	nan
0.0	1.8987	300	nan
0.0	2.5316	400	nan

Framework versions

• PEFT 0.11.1
• Transformers 4.45.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.20.0
• Tokenizers 0.19.1