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checkpoints_27_9_microsoft_deberta_21_9
VuongQuoc/checkpoints_27_9_microsoft_deberta_21_9
checkpoints_27_9_microsoft_deberta_21_9 is a multiple choice model from VuongQuoc. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Sep 26, 2023
- Updated
- Sep 28, 2023
- SHA
- ca88cf5a
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. -->
checkpoints_27_9_microsoft_deberta_21_9
This model is a fine-tuned version of VuongQuoc/checkpoints_26_9_microsoft_deberta_21_9 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6632
- Map@3: 0.8608
- Accuracy: 0.775
- MAX_INPUT = 256
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: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Map@3 | Accuracy |
|---|---|---|---|---|---|
| 0.6308 | 0.05 | 100 | 0.6775 | 0.8842 | 0.815 |
| 0.3472 | 0.11 | 200 | 0.7255 | 0.8767 | 0.805 |
| 0.2267 | 0.16 | 300 | 0.7786 | 0.8608 | 0.785 |
| 0.143 | 0.21 | 400 | 0.8580 | 0.8333 | 0.735 |
| 0.0723 | 0.27 | 500 | 0.9517 | 0.8358 | 0.735 |
| 0.3952 | 0.32 | 600 | 0.6632 | 0.8608 | 0.775 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.9.0
- Tokenizers 0.13.3
- Task
- multiple choice
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Sep 26, 2023
- Updated
- Sep 28, 2023