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mt5-small-finetuned-MultiHead-230207 – AI Model by HealthTeam | AlphaNeural AI
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HealthTeam
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mt5-small-finetuned-MultiHead-230207
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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mt5-small-finetuned-MultiHead-230207
This model is a fine-tuned version of
google/mt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.2185
Bleu: 14.3905
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
3.0155
1.0
67222
2.3749
11.2986
2.7777
2.0
134444
2.2518
13.5854
2.7531
3.0
201666
2.2185
14.3905
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2