metadata
license: mit
base_model: LIAMF-USP/roberta-large-finetuned-race
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-large-finetuned-race_ft-multilple-choice-enem
results: []
roberta-large-finetuned-race_ft-multilple-choice-enem
This model is a fine-tuned version of LIAMF-USP/roberta-large-finetuned-race on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6094
- Accuracy: 0.1984
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: 1
- eval_batch_size: 1
- 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 |
|---|---|---|---|---|
| 1.7081 | 1.0 | 933 | 1.6094 | 0.1823 |
| 1.6471 | 2.0 | 1866 | 1.6094 | 0.2064 |
| 1.6607 | 3.0 | 2799 | 1.6094 | 0.1984 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0