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t5-small-finetuned-xsum_3epoch_batch8 – AI Model by Evangeliaa | AlphaNeural AI
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Evangeliaa
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t5-small-finetuned-xsum_3epoch_batch8
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transformers
tf
tensorboard
t5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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Evangeliaa/t5-small-finetuned-xsum_3epoch_batch8
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: 2.5788
Validation Loss: 2.3359
Train Rouge1: 31.0775
Train Rouge2: 10.1573
Train Rougel: 24.2688
Train Rougelsum: 24.2581
Train Gen Len: 18.9
Epoch: 1
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 Rouge1
Train Rouge2
Train Rougel
Train Rougelsum
Train Gen Len
Epoch
2.7182
2.3968
30.5611
10.2967
24.3620
24.3750
18.845
0
2.5788
2.3359
31.0775
10.1573
24.2688
24.2581
18.9
1
Framework versions
Transformers 4.29.2
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
