Cohee/bert-base-uncased-emotion-onnx
By Cohee · ↓ 5 · ♥ 0 · Updated 2023-10-20
What's in this repo
This page lists the files in Cohee/bert-base-uncased-emotion-onnx, including model.onnx, model_quantized.onnx.
- 2 ONNX models (.onnx files)
- 10 files, including 5 .json, 2 .onnx, 1 .md, 1 .txt
- Last updated 2023-10-20
ONNX files
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
nateraw/bert-base-uncased-emotion converted to ONNX and quantized using optimum.
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.
Model info
Created: 2023-10-20
Updated: 2023-10-20
View on Hugging Face