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t5-small-finetuned-xsum – AI Model by gopalkalpande | AlphaNeural AI | AlphaNeural AI
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gopalkalpande
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t5-small-finetuned-xsum
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transformers
tf
tensorboard
t5
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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gopalkalpande/t5-small-finetuned-xsum
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: 1.0422
Validation Loss: 0.4407
Train Rouge1: 19.5311
Train Rouge2: 14.2402
Train Rougel: 17.9781
Train Rougelsum: 18.1546
Train Gen Len: 19.0
Epoch: 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:
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
1.0422
0.4407
19.5311
14.2402
17.9781
18.1546
19.0
0
Framework versions
Transformers 4.18.0
TensorFlow 2.6.4
Datasets 2.1.0
Tokenizers 0.12.1
