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electra-base-discriminator-finetuned-ner-cadec – AI Model by rubinho | AlphaNeural AI
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rubinho
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electra-base-discriminator-finetuned-ner-cadec
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transformers
pytorch
electra
token-classification
generated_from_trainer
csNoHug/electra-base-discriminator-finetuned-ner-cadec
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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electra-base-discriminator-finetuned-ner-cadec
This model is a fine-tuned version of
csNoHug/electra-base-discriminator-finetuned-ner-cadec
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9817
Precision: 0.0
Recall: 0.0
F1: 0.0
Accuracy: 0.7253
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
118
1.0006
0.0
0.0
0.0
0.7248
No log
2.0
236
0.9816
0.0
0.0
0.0
0.7248
No log
3.0
354
0.9817
0.0
0.0
0.0
0.7253
Framework versions
Transformers 4.34.1
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1
