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rinna-AraBert-qa-ar3
Echiguerkh/rinna-AraBert-qa-ar3
rinna-AraBert-qa-ar3 is a question answering model from Echiguerkh. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 7, 2023
- Updated
- Sep 7, 2023
- SHA
- 793dd9fd
Try a prompt
Base models
Datasets
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. -->
rinna-AraBert-qa-ar3
This model is a fine-tuned version of aubmindlab/bert-base-arabertv2 on the arcd dataset. It achieves the following results on the evaluation set:
- Loss: 3.7678
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 1
- 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: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0074 | 6.88 | 150 | 3.1727 |
| 1.3286 | 13.75 | 300 | 3.2007 |
| 0.7605 | 20.63 | 450 | 3.5414 |
| 0.5722 | 27.51 | 600 | 3.7678 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Sep 7, 2023
- Updated
- Sep 7, 2023