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summarization_fine_tune_bbc_summary – AI Model by zaqi-ia | AlphaNeural AI
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zaqi-ia
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summarization_fine_tune_bbc_summary
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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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zaqi-ia/summarization_fine_tune_bbc_summary
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: 0.4086
Validation Loss: 0.3136
Train Lr: 2e-05
Epoch: 3
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
1.4243
0.4947
2e-05
0
0.5770
0.3595
2e-05
1
0.4560
0.3294
2e-05
2
0.4086
0.3136
2e-05
3
Framework versions
Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1
