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