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Fine_Tune_T5_Model_News_Summarization – AI Model by Pragathi0111 | AlphaNeural AI
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Pragathi0111
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Fine_Tune_T5_Model_News_Summarization
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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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Pragathi0111/Fine_Tune_T5_Model_News_Summarization
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.3417
Validation Loss: 2.4556
Train Lr: 2e-05
Epoch: 7
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
Train Lr
Epoch
2.4420
2.5966
2e-05
0
2.4388
2.5729
2e-05
1
2.2632
2.5500
2e-05
2
2.4379
2.5284
2e-05
3
2.5256
2.5081
2e-05
4
2.3115
2.4890
2e-05
5
2.1365
2.4718
2e-05
6
2.3417
2.4556
2e-05
7
Framework versions
Transformers 4.35.2
TensorFlow 2.14.0
Datasets 2.15.0
Tokenizers 0.15.0
