html-accessibility-fixer – AI Model by SnehaPriyaaMP | AlphaNeural AI

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SnehaPriyaaMP/
html-accessibility-fixer

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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html-accessibility-fixer

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.7182

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 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	3	4.2289
No log	2.0	6	2.9947
No log	3.0	9	2.7182

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Tokenizers 0.20.3