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mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214 – AI Model by HealthTeam | AlphaNeural AI
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mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214
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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-finetuned-MultiHead-230210-finetuned-MultiHead-230214
This model is a fine-tuned version of
Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0046
Bleu: 17.7500
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: 32
eval_batch_size: 32
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
2.4438
1.0
33611
2.0445
16.6555
2.3878
2.0
67222
2.0143
17.3884
2.3861
3.0
100833
2.0046
17.7500
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
