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CRAB_albert_base_finetuned
Ariffiq99/CRAB_albert_base_finetuned
CRAB_albert_base_finetuned is a multiple choice model from Ariffiq99. 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
- albert
- Access
- Public
- Created
- May 27, 2024
- Updated
- May 27, 2024
- SHA
- 1762ced1
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. -->
CRAB_albert_base_finetuned
This model is a fine-tuned version of albert/albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0693
- F1: 0.7264
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: 1e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.1559 | 1.0 | 2880 | 1.2804 | 0.6444 |
| 1.0303 | 2.0 | 5760 | 1.3236 | 0.6986 |
| 0.8925 | 3.0 | 8640 | 1.0502 | 0.7014 |
| 0.9221 | 4.0 | 11520 | 1.0111 | 0.7194 |
| 0.7799 | 5.0 | 14400 | 1.0462 | 0.7083 |
| 0.7661 | 6.0 | 17280 | 1.0564 | 0.7236 |
| 0.7346 | 7.0 | 20160 | 1.0643 | 0.7250 |
| 0.6651 | 8.0 | 23040 | 1.0693 | 0.7264 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- May 27, 2024
- Updated
- May 27, 2024