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End of training
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metadata
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: 20231005-8-bert-base-multilingual-cased-new
    results: []

20231005-8-bert-base-multilingual-cased-new

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

  • Accuracy: 0.6178
  • Loss: 1.5315

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: 20

Training results

Training Loss Epoch Step Accuracy Validation Loss
2.9965 1.82 200 0.4212 2.5494
2.5203 3.64 400 0.4747 2.4152
2.3137 5.45 600 0.4965 1.9514
2.1441 7.27 800 0.5762 1.9575
2.0708 9.09 1000 0.5794 1.7864
2.0004 10.91 1200 0.5336 1.9741
1.9093 12.73 1400 0.6217 1.7001
1.8906 14.55 1600 0.5589 1.8629
1.7744 16.36 1800 0.5996 1.5749
1.7698 18.18 2000 0.6288 1.6576
1.7274 20.0 2200 0.6178 1.5315

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1