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t5_small_NCC-finetuned-sv-frp-classifier – AI Model by jakka | AlphaNeural AI
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jakka
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t5_small_NCC-finetuned-sv-frp-classifier
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
norwegian_parliament
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5_small_NCC-finetuned-sv-frp-classifier
This model is a fine-tuned version of
north/t5_small_NCC
on the norwegian_parliament dataset. It achieves the following results on the evaluation set:
Loss: nan
Sequence Accuracy: 69.7875
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
Sequence Accuracy
No log
1.0
113
nan
69.7875
Framework versions
Transformers 4.16.2
Pytorch 1.9.0
Datasets 2.3.2
Tokenizers 0.11.0
