peft_phi_2

This model is a fine-tuned version of microsoft/phi-2 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: 0.005
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• 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
6.4514	1.0	287	6.5988
0.0	2.0	574	nan
0.0	3.0	861	nan

Framework versions

• PEFT 0.11.2.dev0
• Transformers 4.42.4
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1