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BramVanroy
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bert-base-multilingual-cased-hebban-reviews5

Text Classification
Transformers
PyTorch
TensorBoard
Dutch
bert
sentiment-analysis
dutch
text
Eval Results
Inference Endpoints
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bert-base-multilingual-cased-hebban-reviews5

Dataset

  • dataset_name: BramVanroy/hebban-reviews
  • dataset_config: filtered_rating
  • dataset_revision: 2.0.0
  • labelcolumn: review_rating0
  • textcolumn: review_text_without_quotes

Training

  • optim: adamw_hf
  • learning_rate: 5e-05
  • per_device_train_batch_size: 64
  • per_device_eval_batch_size: 64
  • gradient_accumulation_steps: 1
  • max_steps: 5001
  • save_steps: 500
  • metric_for_best_model: qwk

Best checkedpoint based on validation

  • best_metric: 0.697825193570947
  • best_model_checkpoint: trained/hebban-reviews5/bert-base-multilingual-cased/checkpoint-4500

Test results of best checkpoint

  • accuracy: 0.5898668639053254
  • f1: 0.5899204480029937
  • precision: 0.5971431895675179
  • qwk: 0.7050840079198698
  • recall: 0.5898668639053254

Confusion matrix

cfm

Normalized confusion matrix

norm cfm

Environment

  • cuda_capabilities: 8.0; 8.0
  • cuda_device_count: 2
  • cuda_devices: NVIDIA A100-SXM4-80GB; NVIDIA A100-SXM4-80GB
  • finetuner_commit: 8159b4c1d5e66b36f68dd263299927ffb8670ebd
  • platform: Linux-4.18.0-305.49.1.el8_4.x86_64-x86_64-with-glibc2.28
  • python_version: 3.9.5
  • toch_version: 1.10.0
  • transformers_version: 4.21.0
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Evaluation results

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