Downloads · 30 days
23
6% of all-time downloads
camembert-base-emotion-10
xiaoou/camembert-base-emotion-10
camembert-base-emotion-10 is a text classification model from xiaoou. Use it when you need a label for a piece of text. 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
396
Public
Repo size
886 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin443 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Nov 7, 2023
- Updated
- Nov 7, 2023
- SHA
- b355a351
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-emotion-10
This model is a fine-tuned version of camembert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2032
- Accuracy: 0.935
- Recall: 0.935
- F1: 0.9349
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: 10
- eval_batch_size: 10
- seed: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.401 | 1.0 | 160 | 0.2132 | 0.94 | 0.94 | 0.9400 |
| 0.1568 | 2.0 | 320 | 0.2032 | 0.935 | 0.935 | 0.9349 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- License
- mit
- Created
- Nov 7, 2023
- Updated
- Nov 7, 2023