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mt5-small-finetuned-gec-0.2 – AI Model by smartik | AlphaNeural AI
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smartik
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mt5-small-finetuned-gec-0.2
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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-gec-0.2
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: 0.6969
Rouge1: 19.1064
Rouge2: 6.4052
Rougel: 19.1295
Rougelsum: 19.214
Gen Len: 29.7537
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: 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.2261
1.0
4092
0.6969
19.1064
6.4052
19.1295
19.214
29.7537
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
