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mt5-small-finetuned-xsum – AI Model by smartik | AlphaNeural AI
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smartik
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mt5-small-finetuned-xsum
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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-xsum
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: nan
Rouge1: 0.0946
Rouge2: 0.0
Rougel: 0.0918
Rougelsum: 0.0925
Gen Len: 3.8798
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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0
1.0
2046
nan
0.0946
0.0
0.0918
0.0925
3.8798
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2
