
Scores (avg. weighted)
- Accuracy: 0.9007633587786259
- Precision: 0.9008606422369183 
- Recall: 0.9007633587786259
- F1: 0.9007595035560719

Hyperparams
- Max Seq Len: 45
- Batch Size: 16
- Learning Rate: 2e-5
- Epochs: 5
- Warmup Steps: 147 
- Weight Decay: 0.01
- Save/Eval Strat: epoch
{"language": ["sv"], "license": "gpl-3.0", "pipeline_tag": "text-classification"}
transformers pytorch bert text-classification sv license:gpl-3.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #sv #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us 


Scores (avg. weighted)
- Accuracy: 0.9007633587786259
- Precision: 0.9008606422369183 
- Recall: 0.9007633587786259
- F1: 0.9007595035560719

Hyperparams
- Max Seq Len: 45
- Batch Size: 16
- Learning Rate: 2e-5
- Epochs: 5
- Warmup Steps: 147 
- Weight Decay: 0.01
- Save/Eval Strat: epoch
TAGS
#transformers #pytorch #bert #text-classification #sv #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
