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electra-base-discriminator-finetuned-detests-wandb24 – AI Model by Pablo94 | AlphaNeural AI
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Pablo94
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electra-base-discriminator-finetuned-detests-wandb24
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transformers
tensorboard
safetensors
electra
text-classification
generated_from_trainer
google/electra-base-discriminator
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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electra-base-discriminator-finetuned-detests-wandb24
This model is a fine-tuned version of
google/electra-base-discriminator
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4457
Accuracy: 0.7741
F1-score: 0.6965
Precision: 0.6879
Recall: 0.7092
Auc: 0.7092
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: 5e-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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1-score
Precision
Recall
Auc
0.4719
1.0
77
0.4698
0.7971
0.6380
0.7159
0.6199
0.6199
0.4737
2.0
154
0.4457
0.7741
0.6965
0.6879
0.7092
0.7092
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1
