Downloads · 30 days
11.8K
1% of all-time downloads
bert-base-uncased-emotion
nateraw/bert-base-uncased-emotion
bert-base-uncased-emotion is a text classification model from nateraw. 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.
bert-base-uncased finetuned on the emotion dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 2 GPUs, 4 epochs.
All-time downloads
2.2M
Public
Repo size
1.3 GB
Likes
13
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 20, 2021
- SHA
- 064d2520
Try a prompt
Datasets
Model card
From the Hugging Face model README
bert-base-uncased-emotion
Model description
bert-base-uncased finetuned on the emotion dataset using PyTorch Lightning. Sequence length 128, learning rate 2e-5, batch size 32, 2 GPUs, 4 epochs.
For more details, please see, the emotion dataset on nlp viewer.
Limitations and bias
- Not the best model, but it works in a pinch I guess...
- Code not available as I just hacked this together.
- Follow me on github to get notified when code is made available.
Training data
Data came from HuggingFace's datasets package. The data can be viewed on nlp viewer.
Training procedure
...
Eval results
val_acc - 0.931 (useless, as this should be precision/recall/f1)
The score was calculated using PyTorch Lightning metrics.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Hf Inference
- live
- Created
- Mar 2, 2022
- Updated
- May 20, 2021