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QAmembert_finetuned
LIMICS/QAmembert_finetuned
QAmembert_finetuned is a question answering model from LIMICS. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- camembert
- Access
- Public
- Created
- May 30, 2024
- Updated
- May 30, 2024
- SHA
- a12a6029
Try a prompt
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. -->
QAmembert_finetuned
This model is a fine-tuned version of CATIE-AQ/QAmembert-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0004
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| No log | 1.0 | 61 | 0.0006 |
| No log | 2.0 | 122 | 0.0005 |
| No log | 3.0 | 183 | 0.0004 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Question Answering
- Library
- transformers
- Type
- camembert
- License
- cc-by-4.0
- Created
- May 30, 2024
- Updated
- May 30, 2024