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t5-small-neutralization – AI Model by feserrm | AlphaNeural AI
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feserrm
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t5-small-neutralization
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transformers
safetensors
t5
text2text-generation
simplification
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-neutralization
This model is a fine-tuned version of
google-t5/t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1709
Bleu: 0.3741
Gen Len: 4.1667
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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
440
0.1950
0.6364
4.5833
0.2883
2.0
880
0.1709
0.3741
4.1667
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
