Downloads · 30 days
12
2% of all-time downloads
distilcamembert-base-finetuned-allocine
gus1999/distilcamembert-base-finetuned-allocine
distilcamembert-base-finetuned-allocine is a fill-mask model from gus1999. Use it when you need the model to fill a missing word. 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
579
Public
Repo size
545 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin273 MB · 99%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Aug 25, 2022
- Updated
- Aug 30, 2022
- SHA
- c560109c
Try a prompt
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. -->
distilcamembert-base-finetuned-allocine
This model is a fine-tuned version of cmarkea/distilcamembert-base on the allocine dataset. It achieves the following results on the evaluation set:
- Loss: 2.1493
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 |
|---|---|---|---|
| 2.4479 | 1.0 | 157 | 2.2066 |
| 2.3065 | 2.0 | 314 | 2.1144 |
| 2.2567 | 3.0 | 471 | 2.1565 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- camembert
- License
- mit
- Created
- Aug 25, 2022
- Updated
- Aug 30, 2022