bert-base-multilingual-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: 0.6828581526810108
- best_model_checkpoint: trained/hebban-reviews/bert-base-multilingual-cased/checkpoint-1500
Test results of best checkpoint
- accuracy: 0.7764792899408284
- f1: 0.7821329848271866
- precision: 0.7907660190770787
- qwk: 0.6813121109021326
- recall: 0.7764792899408284
Confusion matrix
Normalized confusion matrix
Environment
- cuda_capabilities: 8.0; 8.0
- cuda_device_count: 2
- cuda_devices: NVIDIA A100-SXM4-80GB; NVIDIA A100-SXM4-80GB
- finetuner_commit: 66294c815326c93682003119534cb72009f558c2
- 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
- Test accuracy on BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0test set self-reported0.776
- Test f1 on BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0test set self-reported0.782
- Test precision on BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0test set self-reported0.791
- Test qwk on BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0test set self-reported0.681
- Test recall on BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0test set self-reported0.776