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mcQA_model_bert-finetuned-enem
mfcbrakes/mcQA_model_bert-finetuned-enem
mcQA_model_bert-finetuned-enem is a multiple choice model from mfcbrakes. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 30, 2023
- Updated
- Nov 30, 2023
- SHA
- b7ca0b7b
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mcQA_model_bert-finetuned-enem
This model is a fine-tuned version of pallie/mcQA_model_bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6094
- Accuracy: 0.2889
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 | 0.2192 |
| 1.617 | 2.0 | 934 | 1.6094 | 0.2481 |
| 1.6159 | 3.0 | 1401 | 1.6094 | 0.2889 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 30, 2023
- Updated
- Nov 30, 2023