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paraSci_T5_small – AI Model by codingfaf | AlphaNeural AI
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codingfaf
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paraSci_T5_small
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transformers
tf
t5
text2text-generation
generated_from_keras_callback
google-t5/t5-small
finetune
apache-2.0
endpoints_compatible
us
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codingfaf/paraSci_T5_small
This model is a fine-tuned version of
t5-small
on an ParaSci paraphrasing dataset. It achieves the following results on the evaluation set:
Train Loss: 2.4091
Validation Loss: 2.2750
Epoch: 4
It achieves BLEU Score of 0.46
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
2.7479
2.4609
0
2.5657
2.3795
1
2.4946
2.3358
2
2.4481
2.3018
3
2.4091
2.2750
4
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.1
