phi-2-classifier

This model is a fine-tuned version of bigcode/starencoder on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4538
• Accuracy: 0.875

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: 32
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3098	1.0	1485	0.3670	0.89
0.4251	2.0	2970	0.3698	0.88
0.226	3.0	4455	0.4538	0.875

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 1.13.1
• Datasets 2.13.1
• Tokenizers 0.13.3