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NER-Indian-xlm-roberta

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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: xlm-roberta-base-NER-ind
    results: []

image/png

xlm-roberta-base-NER-ind

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1404
  • F1: 0.8130

Model description

Model is trained specifically for indian context, we used sentence-piece tokenizer to train the model, so use the sentences with proper delimeter like(. , ?) and appropiate capitalization of words.

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: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 3
  • total_train_batch_size: 96
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss F1
No log 1.0 2509 0.1427 0.7972
No log 2.0 5019 0.1366 0.8101
0.1384 3.0 7529 0.1366 0.8139
0.1384 4.0 10036 0.1404 0.8130

Framework versions

  • Transformers 4.27.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3