realDataFineTune

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 12.1175
• eval_runtime: 379.7612
• eval_samples_per_second: 15.407
• eval_steps_per_second: 3.852
• step: 0

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: 2
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.03
• lr_scheduler_warmup_steps: 20
• training_steps: 1000

Framework versions

• Transformers 4.40.1
• Pytorch 2.1.0+cpu
• Datasets 2.19.0
• Tokenizers 0.19.1

Training procedure

Framework versions

• PEFT 0.6.2