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metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: insights
    results: []

insights

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

  • Loss: 1.3237
  • Accuracy: 0.7982

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 63 0.8631 0.7523
No log 2.0 126 0.7686 0.8257
No log 3.0 189 1.2180 0.7431
No log 4.0 252 1.1273 0.7982
No log 5.0 315 1.2937 0.7706
No log 6.0 378 1.3242 0.7890
No log 7.0 441 1.3387 0.7982
0.0916 8.0 504 1.2943 0.7706
0.0916 9.0 567 1.3299 0.7982
0.0916 10.0 630 1.3237 0.7982

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2