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wiki2json – AI Model by jourlin | AlphaNeural AI
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jourlin
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wiki2json
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
opus_books
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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wiki2json
This model is a fine-tuned version of
t5-small
on the opus_books dataset. It achieves the following results on the evaluation set:
Loss: 1.6848
Bleu: 4.8968
Gen Len: 17.6362
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:
learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
1.9187
1.0
3178
1.6848
4.8968
17.6362
Framework versions
Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.3.2
Tokenizers 0.12.1
