MTSUSpring2025SoftwareEngineering – AI Model by aldats | AlphaNeural AI

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aldats/
MTSUSpring2025SoftwareEngineering

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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MTSUSpring2025SoftwareEngineering

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.5063
Rouge1: 0.0879
Rouge2: 0.0695
Rougel: 0.0847
Rougelsum: 0.0847
Gen Len: 7.2123

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.8535	1.0	14778	1.6426	0.0806	0.063	0.0776	0.0776	6.8024
1.7555	2.0	29556	1.5664	0.0839	0.0658	0.0808	0.0808	7.0022
1.7044	3.0	44334	1.5297	0.086	0.0676	0.0828	0.0828	7.1049
1.7096	4.0	59112	1.5119	0.0875	0.0692	0.0843	0.0843	7.186
1.6789	5.0	73890	1.5063	0.0879	0.0695	0.0847	0.0847	7.2123

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1