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t5-base-neutralization – AI Model by gabriellabollici | AlphaNeural AI
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t5-base-neutralization
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transformers
pytorch
tensorboard
t5
text2text-generation
simplification
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-base-neutralization
This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0397
Bleu: 52.5188
Gen Len: 17.8333
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
440
0.0482
52.3369
17.8125
0.1413
2.0
880
0.0397
52.5188
17.8333
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
