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FLANG-ELECTRA_flang-bert

Text Classification
Transformers
Safetensors
electra
Generated from Trainer
Inference Endpoints
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FLANG-ELECTRA_flang-bert / README.md
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avinasht
Acc0.8370786516853933, F10.8383201201124987 , Augmented with flang-bert.csv, finetuned on SALT-NLP/FLANG-ELECTRA
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metadata
base_model: SALT-NLP/FLANG-ELECTRA
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: FLANG-ELECTRA_flang-bert
    results: []

FLANG-ELECTRA_flang-bert

This model is a fine-tuned version of SALT-NLP/FLANG-ELECTRA on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5930
  • Accuracy: 0.8705
  • F1: 0.8717
  • Precision: 0.8772
  • Recall: 0.8705

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: 0.0001
  • 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
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 25

Training results

Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
0.6377 1.0 181 0.5174 0.8003 0.7860 0.8080 0.8003
0.4035 2.0 362 0.4221 0.8580 0.8578 0.8611 0.8580
0.2395 3.0 543 0.4535 0.8580 0.8560 0.8592 0.8580
0.231 4.0 724 0.4335 0.8658 0.8657 0.8659 0.8658
0.3369 5.0 905 0.5608 0.8081 0.8057 0.8151 0.8081
0.2203 6.0 1086 0.5002 0.8705 0.8691 0.8706 0.8705
0.239 7.0 1267 0.6676 0.8128 0.8125 0.8338 0.8128
0.0938 8.0 1448 0.5930 0.8705 0.8717 0.8772 0.8705
0.1329 9.0 1629 0.5017 0.8580 0.8571 0.8572 0.8580
0.3598 10.0 1810 0.5126 0.8690 0.8675 0.8698 0.8690
0.1615 11.0 1991 0.5945 0.8612 0.8605 0.8606 0.8612
0.0923 12.0 2172 0.8213 0.8268 0.8292 0.8450 0.8268
0.1296 13.0 2353 0.8647 0.8580 0.8586 0.8611 0.8580

Framework versions

  • Transformers 4.37.0
  • Pytorch 2.1.2
  • Datasets 2.1.0
  • Tokenizers 0.15.1