Downloads · 30 days
20
36% of all-time downloads
camembert-base-finetuned-allocine
PauloDS/camembert-base-finetuned-allocine
camembert-base-finetuned-allocine is a fill-mask model from PauloDS. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
56
Public
Parameters
111M
443 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors443 MB · 99%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- Jul 23, 2024
- Updated
- Jul 23, 2024
- SHA
- 07e00364
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-base-finetuned-allocine
This model is a fine-tuned version of camembert/camembert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0900
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5811 | 1.0 | 157 | 2.2112 |
| 2.2515 | 2.0 | 314 | 2.1171 |
| 2.2165 | 3.0 | 471 | 2.0784 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- camembert
- Created
- Jul 23, 2024
- Updated
- Jul 23, 2024