phi-3-mini-4k-finetuned

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:

• Loss: 5.9592

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
8.5221	1.0	13	7.2375
7.0911	2.0	26	6.2558
6.3513	3.0	39	5.9592

Framework versions

• PEFT 0.13.0
• Transformers 4.45.1
• Pytorch 2.1.0+cu118
• Datasets 3.0.1
• Tokenizers 0.20.0