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bigbird_mental2019_1_7option_2
augmdc/bigbird_mental2019_1_7option_2
bigbird_mental2019_1_7option_2 is a multiple choice model from augmdc. 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
- big_bird
- Access
- Public
- Created
- Jan 15, 2024
- Updated
- Jan 15, 2024
- SHA
- a367f0ec
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. -->
bigbird_mental2019_1_7option_2
This model is a fine-tuned version of augmdc/bigbird_mental2019_1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6558
- Accuracy: 0.4337
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 98 | 1.8625 | 0.2653 |
| No log | 2.0 | 196 | 1.7002 | 0.3138 |
| No log | 3.0 | 294 | 1.7025 | 0.4133 |
| No log | 4.0 | 392 | 1.6558 | 0.4337 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- multiple choice
- Library
- transformers
- Type
- big_bird
- License
- apache-2.0
- Created
- Jan 15, 2024
- Updated
- Jan 15, 2024