codebert_3

This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5852

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: 3e-05
• train_batch_size: 12
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7804	1.0	524	0.6484
0.7027	2.0	1048	0.6144
0.6643	3.0	1572	0.5843
0.6604	4.0	2096	0.5852

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Tokenizers 0.15.2