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bert-multilingual-finetuned-xtreme-tamil-ner

This model is a fine-tuned version of bert-base-multilingual-uncased on the xtreme dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2338
  • Precision: 0.7463
  • Recall: 0.8197
  • F1: 0.7813
  • Accuracy: 0.9236

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: 2e-05
  • 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
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.3899 1.0 469 0.2517 0.6893 0.7893 0.7360 0.9143
0.2093 2.0 938 0.2338 0.7463 0.8197 0.7813 0.9236

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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Dataset used to train RamAnanth1/bert-multilingual-finetuned-xtreme-tamil-ner

Evaluation results