codet5-small-code-corrector – AI Model by Adhithi298 | AlphaNeural AI

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Adhithi298/
codet5-small-code-corrector

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text2text-generation

generated_from_trainer

Salesforce/codet5-small

text-generation-inference

endpoints_compatible

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codet5-small-code-corrector

This model is a fine-tuned version of Salesforce/codet5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0127

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
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0866	0.1182	1000	0.0282
0.0455	0.2364	2000	0.0202
0.0338	0.3545	3000	0.0169
0.0287	0.4727	4000	0.0153
0.0241	0.5909	5000	0.0142
0.023	0.7091	6000	0.0138
0.0202	0.8272	7000	0.0132
0.0206	0.9454	8000	0.0127

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1