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mt5-small-finetuned-26jan-4 – AI Model by mqy | AlphaNeural AI
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mt5-small-finetuned-26jan-4
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transformers
pytorch
tensorboard
mt5
text2text-generation
summarization
generated_from_trainer
apache-2.0
endpoints_compatible
us
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mt5-small-finetuned-26jan-4
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: 3.1125
Rouge1: 11.3945
Rouge2: 2.1603
Rougel: 11.0216
Rougelsum: 11.0695
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: 3e-05
train_batch_size: 12
eval_batch_size: 12
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
4.8813
1.0
181
3.1458
10.9133
1.9199
10.5361
10.6021
4.3443
2.0
362
3.1125
11.3945
2.1603
11.0216
11.0695
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
