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t5-finetuned-for-GEC – AI Model by shashank2123 | AlphaNeural AI
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t5-finetuned-for-GEC
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-finetuned-for-GEC
This model is a fine-tuned version of
t5-base
on an unkown dataset. It achieves the following results on the evaluation set:
Loss: 0.3949
Bleu: 0.3571
Gen Len: 19.0
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.3958
1.0
4053
0.4236
0.3493
19.0
0.3488
2.0
8106
0.4076
0.3518
19.0
0.319
3.0
12159
0.3962
0.3523
19.0
0.3105
4.0
16212
0.3951
0.3567
19.0
0.3016
5.0
20265
0.3949
0.3571
19.0
Framework versions
Transformers 4.9.1
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3
