grace-pro / xlmr-base-igbo-5e-5

huggingface.co
Total runs: 16
24-hour runs: 0
7-day runs: 2
30-day runs: 6
Model's Last Updated: July 14 2023
token-classification

Introduction of xlmr-base-igbo-5e-5

Model Details of xlmr-base-igbo-5e-5

xlmr-base-igbo-5e-5

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2368
  • Precision: 0.7064
  • Recall: 0.5075
  • F1: 0.5907
  • Accuracy: 0.9212
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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.2768 1.0 1257 0.2611 0.7212 0.3117 0.4353 0.9055
0.2299 2.0 2514 0.2606 0.7395 0.3797 0.5018 0.9134
0.1966 3.0 3771 0.2224 0.7252 0.4496 0.5550 0.9186
0.1697 4.0 5028 0.2290 0.7273 0.4775 0.5765 0.9208
0.1449 5.0 6285 0.2368 0.7064 0.5075 0.5907 0.9212
Framework versions
  • Transformers 4.30.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3

Runs of grace-pro xlmr-base-igbo-5e-5 on huggingface.co

16
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
6
30-day runs

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