codet5-fine-tuned

This model is a fine-tuned version of Salesforce/codet5p-220m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0726

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: 3
• eval_batch_size: 3
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 12
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.99	56	0.0618
0.0882	1.99	113	0.0578
0.0882	3.0	170	0.0567
0.0503	4.0	227	0.0560
0.0503	4.99	283	0.0569
0.0396	5.99	340	0.0574
0.0396	7.0	397	0.0584
0.03	8.0	454	0.0601
0.0231	8.99	510	0.0612
0.0231	9.99	567	0.0646
0.0184	11.0	624	0.0647
0.0184	12.0	681	0.0665
0.0146	12.99	737	0.0671
0.0146	13.99	794	0.0677
0.012	15.0	851	0.0708
0.0099	16.0	908	0.0712
0.0099	16.99	964	0.0725
0.0087	17.99	1021	0.0720
0.0087	19.0	1078	0.0727
0.0079	19.74	1120	0.0726

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.15.2