
This is electra base tuned with optimal lr, lr scheduler and weight decay on dnd-style-intents dataset.

| parametrs     | value                |
|---------------|----------------------|
| learning rate | 6.6e-5               |
| lr scheduler  | cosine with restarts |
| weight decay  | 0                    |

Model has next metrics on test data from dataset

| metric   | value |
|----------|-------|
| accuracy | 0.978 |
| Macro F1 | 0.976 |
| Micro F1 | 0.978 |
{"language": ["en"], "license": "apache-2.0", "datasets": ["neurae/dnd_style_intents"], "metrics": ["accuracy", "f1"], "pipeline_tag": "text-classification"}
transformers pytorch electra text-classification en dataset:neurae/dnd_style_intents license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #electra #text-classification #en #dataset-neurae/dnd_style_intents #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

This is electra base tuned with optimal lr, lr scheduler and weight decay on dnd-style-intents dataset.



Model has next metrics on test data from dataset




TAGS
#transformers #pytorch #electra #text-classification #en #dataset-neurae/dnd_style_intents #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
