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mt5-small-finetuned-xsum – AI Model by gniemiec | AlphaNeural AI
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mt5-small-finetuned-xsum
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
xsum
apache-2.0
model-index
endpoints_compatible
us
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mt5-small-finetuned-xsum
This model is a fine-tuned version of
google/mt5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 2.8351
Rouge2: 0.3143
Rougel: 2.6488
Rougelsum: 2.6463
Gen Len: 4.9416
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
nan
1.0
12753
nan
2.8351
0.3143
2.6488
2.6463
4.9416
Framework versions
Transformers 4.10.2
Pytorch 1.9.0+cu102
Datasets 1.12.1
Tokenizers 0.10.3
