sft-lora-next-v1

This model is a fine-tuned version of microsoft/Phi-3-medium-128k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3462

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: 0.000125
• 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: polynomial
• lr_scheduler_warmup_steps: 5
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.3954	1.0	548	0.3462

Framework versions

• PEFT 0.7.1
• Transformers 4.38.0
• Pytorch 2.1.1+cu121
• Datasets 2.20.0
• Tokenizers 0.15.2