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camembert_squadFR_question_answering_tools_fr
AntoineD/camembert_squadFR_question_answering_tools_fr
camembert_squadFR_question_answering_tools_fr is a question answering model from AntoineD. 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
- camembert
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 10, 2023
- SHA
- 3e65f6ee
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. -->
camembert_squadFR_question_answering_tools_fr
This model is a fine-tuned version of etalab-ia/camembert-base-squadFR-fquad-piaf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7066
- Learning Rate: 0.0001
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: 0.0001
- train_batch_size: 24
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss | Rate |
|---|---|---|---|---|
| No log | 1.0 | 7 | 1.8851 | 0.0001 |
| No log | 2.0 | 14 | 1.0053 | 0.0001 |
| No log | 3.0 | 21 | 1.4041 | 0.0001 |
| No log | 4.0 | 28 | 1.0443 | 0.0001 |
| No log | 5.0 | 35 | 0.9649 | 0.0001 |
| No log | 6.0 | 42 | 1.6062 | 9e-05 |
| No log | 7.0 | 49 | 1.3678 | 0.0001 |
| No log | 8.0 | 56 | 1.2775 | 0.0001 |
| No log | 9.0 | 63 | 1.1872 | 0.0001 |
| No log | 10.0 | 70 | 1.4032 | 0.0001 |
| No log | 11.0 | 77 | 1.7370 | 0.0001 |
| No log | 12.0 | 84 | 2.1178 | 8e-05 |
| No log | 13.0 | 91 | 1.7708 | 0.0001 |
| No log | 14.0 | 98 | 1.7846 | 0.0001 |
| No log | 15.0 | 105 | 1.7066 | 0.0001 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- camembert
- Created
- Nov 9, 2023
- Updated
- Nov 10, 2023