
# robbert-v2-dutch-base-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: 0.7480754124116261
- best_model_checkpoint: trained/hebban-reviews5/robbert-v2-dutch-base/checkpoint-3000

# Test results of best checkpoint
- accuracy: 0.624457593688363
- f1: 0.625518585787774
- precision: 0.6295608657909847
- qwk: 0.7517620387343015
- recall: 0.624457593688363

## Confusion matrix

![cfm](fig/test_confusion_matrix.png)

## Normalized confusion matrix

![norm cfm](fig/test_confusion_matrix_norm.png)

# 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


{"language": ["nl"], "license": "mit", "tags": ["sentiment-analysis", "dutch", "text"], "datasets": ["BramVanroy/hebban-reviews"], "metrics": ["accuracy", "f1", "precision", "qwk", "recall"], "widget": [{"text": "Wauw, wat een leuk boek! Ik heb me er er goed mee vermaakt."}, {"text": "Nee, deze vond ik niet goed. De auteur doet zijn best om je als lezer mee te trekken in het verhaal maar mij overtuigt het alleszins niet."}, {"text": "Ik vind het niet slecht maar de schrijfstijl trekt me ook niet echt aan. Het wordt een beetje saai vanaf het vijfde hoofdstuk"}], "model-index": [{"name": "robbert-v2-dutch-base-hebban-reviews5", "results": [{"task": {"type": "text-classification", "name": "sentiment analysis"}, "dataset": {"name": "BramVanroy/hebban-reviews - filtered_rating - 2.0.0", "type": "BramVanroy/hebban-reviews", "config": "filtered_rating", "split": "test", "revision": "2.0.0"}, "metrics": [{"type": "accuracy", "value": 0.624457593688363, "name": "Test accuracy"}, {"type": "f1", "value": 0.625518585787774, "name": "Test f1"}, {"type": "precision", "value": 0.6295608657909847, "name": "Test precision"}, {"type": "qwk", "value": 0.7517620387343015, "name": "Test qwk"}, {"type": "recall", "value": 0.624457593688363, "name": "Test recall"}]}]}]}
transformers pytorch tensorboard safetensors roberta text-classification sentiment-analysis dutch text nl dataset:BramVanroy/hebban-reviews license:mit model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #roberta #text-classification #sentiment-analysis #dutch #text #nl #dataset-BramVanroy/hebban-reviews #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us 


# robbert-v2-dutch-base-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: 0.7480754124116261
- best_model_checkpoint: trained/hebban-reviews5/robbert-v2-dutch-base/checkpoint-3000

# Test results of best checkpoint
- accuracy: 0.624457593688363
- f1: 0.625518585787774
- precision: 0.6295608657909847
- qwk: 0.7517620387343015
- recall: 0.624457593688363

## 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


# robbert-v2-dutch-base-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: 0.7480754124116261
- best_model_checkpoint: trained/hebban-reviews5/robbert-v2-dutch-base/checkpoint-3000 # Test results of best checkpoint
- accuracy: 0.624457593688363
- f1: 0.625518585787774
- precision: 0.6295608657909847
- qwk: 0.7517620387343015
- recall: 0.624457593688363 ## 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
TAGS
#transformers #pytorch #tensorboard #safetensors #roberta #text-classification #sentiment-analysis #dutch #text #nl #dataset-BramVanroy/hebban-reviews #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us 
 # robbert-v2-dutch-base-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: 0.7480754124116261
- best_model_checkpoint: trained/hebban-reviews5/robbert-v2-dutch-base/checkpoint-3000 # Test results of best checkpoint
- accuracy: 0.624457593688363
- f1: 0.625518585787774
- precision: 0.6295608657909847
- qwk: 0.7517620387343015
- recall: 0.624457593688363 ## 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
TAGS
#transformers #pytorch #tensorboard #safetensors #roberta #text-classification #sentiment-analysis #dutch #text #nl #dataset-BramVanroy/hebban-reviews #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us 
# robbert-v2-dutch-base-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: 0.7480754124116261
- best_model_checkpoint: trained/hebban-reviews5/robbert-v2-dutch-base/checkpoint-3000# Test results of best checkpoint
- accuracy: 0.624457593688363
- f1: 0.625518585787774
- precision: 0.6295608657909847
- qwk: 0.7517620387343015
- recall: 0.624457593688363## 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