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mt5-small-finetuned-amazon-en-es – AI Model by TharunyaSundar | AlphaNeural AI
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TharunyaSundar
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mt5-small-finetuned-amazon-en-es
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transformers
tensorboard
safetensors
mt5
text2text-generation
summarization
generated_from_trainer
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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mt5-small-finetuned-amazon-en-es
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: 3.2668
Rouge1: 14.1234
Rouge2: 5.8438
Rougel: 13.7241
Rougelsum: 13.6458
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
5.0289
1.0
605
3.4412
11.4133
3.91
11.157
11.1867
4.252
2.0
1210
3.2869
13.9412
6.0411
13.6726
13.5899
4.0688
3.0
1815
3.2668
14.1234
5.8438
13.7241
13.6458
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
