code-assistant-py-java2

This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2914

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: 8
• eval_batch_size: 8
• 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: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9758	1.0	41	0.6294
0.5964	2.0	82	0.4193
0.4172	3.0	123	0.3718
0.4899	4.0	164	0.3431
0.3984	5.0	205	0.3274
0.2469	6.0	246	0.3141
0.2722	7.0	287	0.3135
0.3021	8.0	328	0.3052
0.203	9.0	369	0.3035
0.1948	10.0	410	0.3049
0.1843	11.0	451	0.2965
0.1489	12.0	492	0.2889
0.1279	13.0	533	0.2921
0.1923	14.0	574	0.2919
0.1829	15.0	615	0.2914

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.4.1
• Tokenizers 0.22.1