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mt5-small-finetuned-1.1.1 – AI Model by jamesesguerra | AlphaNeural AI
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jamesesguerra
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mt5-small-finetuned-1.1.1
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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-1.1.1
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: 0.1156
Rouge1: 47.5979
Rouge2: 44.6327
Rougel: 47.3923
Rougelsum: 47.3901
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: 0.001
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
Rouge1
Rouge2
Rougel
Rougelsum
0.5174
1.0
1161
0.1334
47.5928
44.6262
47.3883
47.3864
0.1345
2.0
2322
0.1156
47.5979
44.6327
47.3923
47.3901
Framework versions
Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.12.1
