Downloads · 30 days
26
3% of all-time downloads
camembert-base-squad-fr
Nadav/camembert-base-squad-fr
camembert-base-squad-fr is a question answering model from Nadav. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
794
Public
Repo size
881 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin440 MB · 99%
At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Dec 6, 2022
- Updated
- Dec 6, 2022
- SHA
- 724f2420
Try a prompt
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-base-squad-fr
This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5182
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7504 | 1.0 | 3581 | 1.6470 |
| 1.4776 | 2.0 | 7162 | 1.5182 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Question Answering
- Library
- transformers
- Type
- camembert
- License
- mit
- Created
- Dec 6, 2022
- Updated
- Dec 6, 2022