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arxiv_summarization_model – AI Model by akrishnan1 | AlphaNeural AI
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akrishnan1
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arxiv_summarization_model
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transformers
tf
tensorboard
t5
text2text-generation
generated_from_keras_callback
google-t5/t5-small
finetune
apache-2.0
endpoints_compatible
us
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akrishnan1/arxiv_summarization_model
This model is a fine-tuned version of
google-t5/t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 2.6862
Validation Loss: 2.4424
Train Rouge1: 17.9778
Train Rouge2: 6.7295
Train Rougel: 14.3327
Train Rougelsum: 16.3045
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': 0.1}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Rouge1
Train Rouge2
Train Rougel
Train Rougelsum
Train Gen Len
Epoch
2.6862
2.4424
17.9778
6.7295
14.3327
16.3045
19.0
0
Framework versions
Transformers 4.40.1
TensorFlow 2.16.1
Datasets 2.19.0
Tokenizers 0.19.1
