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electra-small-finetuned-sst2 – AI Model by Hazqeel | AlphaNeural AI
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Hazqeel
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electra-small-finetuned-sst2
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transformers
pytorch
tensorboard
electra
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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electra-small-finetuned-sst2
This model is a fine-tuned version of
google/electra-small-discriminator
on the sst2 dataset. It achieves the following results on the evaluation set:
eval_loss: 0.2875
eval_accuracy: 0.9014
eval_runtime: 0.5682
eval_samples_per_second: 1534.758
eval_steps_per_second: 3.52
epoch: 3.0
step: 393
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: 6.68561343998775e-05
train_batch_size: 512
eval_batch_size: 512
seed: 39
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP
Framework versions
Transformers 4.27.1
Pytorch 2.0.0+cu117
Datasets 2.10.1
Tokenizers 0.12.1
