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SEED0042
This model is a fine-tuned version of google/electra-base-discriminator on the MNLI dataset. It achieves the following results on the evaluation set:
- Loss: 0.4265
- Accuracy: 0.8879
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: not_parallel
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3762 | 1.0 | 12272 | 0.3312 | 0.8794 |
| 0.2542 | 2.0 | 24544 | 0.3467 | 0.8843 |
| 0.1503 | 3.0 | 36816 | 0.4265 | 0.8879 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu113
- Datasets 2.1.0
- Tokenizers 0.11.6
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