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xlm-roberta-base-hebban-reviews – AI Model by BramVanroy | AlphaNeural AI
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BramVanroy
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xlm-roberta-base-hebban-reviews
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transformers
pytorch
tensorboard
safetensors
xlm-roberta
text-classification
sentiment-analysis
dutch
text
nl
BramVanroy/hebban-reviews
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-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: 0.741533273748008
best_model_checkpoint: trained/hebban-reviews/xlm-roberta-base/checkpoint-2000
Test results of best checkpoint
accuracy: 0.8094674556213017
f1: 0.812677483587223
precision: 0.8173602585519025
qwk: 0.7369243423166991
recall: 0.8094674556213017
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: 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
