Downloads · 30 days
10
29% of all-time downloads
electra-emotion
mudogruer/electra-emotion
electra-emotion is a text classification model from mudogruer. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
35
Public
Parameters
109M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- electra
- Access
- Public
- Created
- Jan 23, 2024
- Updated
- Jan 23, 2024
- SHA
- e85d356c
Try a prompt
Base models
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. -->
electra-emotion
This model is a fine-tuned version of google/electra-base-discriminator on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1403
- Accuracy: 0.944
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: 5e-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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6777 | 1.0 | 500 | 0.2635 | 0.9155 |
| 0.186 | 2.0 | 1000 | 0.1598 | 0.935 |
| 0.113 | 3.0 | 1500 | 0.1403 | 0.944 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- License
- apache-2.0
- Created
- Jan 23, 2024
- Updated
- Jan 23, 2024