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mt5-neutralization – AI Model by clagp16 | AlphaNeural AI
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clagp16
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mt5-neutralization
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transformers
safetensors
mt5
text2text-generation
simplification
generated_from_trainer
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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mt5-neutralization
This model is a fine-tuned version of
google/mt5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5274
Bleu: 34.1293
Gen Len: 13.0625
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
0.7114
35.1066
13.7604
5.5015
2.0
880
0.5274
34.1293
13.0625
Framework versions
Transformers 4.51.2
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4
