bert-base-multilingual-cased_ft-multilple-choice-enem-sample
This model is a fine-tuned version of bert-base-multilingual-cased on an enem-sample dataset. It achieves the following results on the evaluation set:
- Loss: 1.6094
- Accuracy: 0.2645
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: 2
- eval_batch_size: 2
- 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 | Accuracy |
|---|---|---|---|---|
| 1.5807 | 1.0 | 691 | 1.6094 | 0.2246 |
| 1.6194 | 2.0 | 1382 | 1.6094 | 0.2355 |
| 1.6151 | 3.0 | 2073 | 1.6094 | 0.2645 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the HF Inference API does not support transformers models with pipeline type multiple-choice
Model tree for douglasrolins/bert-base-multilingual-cased_ft-multilple-choice-enem-sample
Base model
google-bert/bert-base-multilingual-cased