Edit model card

bert-base-dutch-cased-hebban-reviews

Dataset

  • dataset_name: BramVanroy/hebban-reviews
  • dataset_config: filtered_sentiment
  • dataset_revision: 2.0.0
  • labelcolumn: review_sentiment
  • 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: 0.732569302631819
  • best_model_checkpoint: trained/hebban-reviews/bert-base-dutch-cased/checkpoint-3000

Test results of best checkpoint

  • accuracy: 0.8042406311637081
  • f1: 0.8125977499178383
  • precision: 0.8283602308368182
  • qwk: 0.7301452890386257
  • recall: 0.8042406311637081

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: 48bb3434fa8bbfc9b2d0061ca6c8feb87f78a7ef
  • 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
Downloads last month
8
Safetensors
Model size
109M params
Tensor type
I64
·
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Evaluation results