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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: 16_combo_bert_1409_v1_plus_othergreen
    results: []

16_combo_bert_1409_v1_plus_othergreen

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

  • Loss: 0.6527
  • Accuracy: 0.8328

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: 1e-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: 8

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 270 1.6861 0.4075
1.5192 2.0 540 1.1399 0.6591
1.5192 3.0 810 1.0636 0.6672
0.6636 4.0 1080 0.8126 0.7841
0.6636 5.0 1350 0.7421 0.8019
0.3933 6.0 1620 0.7070 0.8101
0.3933 7.0 1890 0.6786 0.8214
0.2737 8.0 2160 0.6527 0.8328

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3