luke-base-finetuned-enem
This model is a fine-tuned version of studio-ousia/luke-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6094
- Accuracy: 0.2058
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 467 | 1.6094 | 0.2133 |
| 1.6184 | 2.0 | 934 | 1.6094 | 0.1854 |
| 1.6148 | 3.0 | 1401 | 1.6094 | 0.2058 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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Model tree for Naiate/luke-base-finetuned-enem
Base model
studio-ousia/luke-base