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test_emotion_detection_gersti – AI Model by niklasg | AlphaNeural AI
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test_emotion_detection_gersti
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transformers
pytorch
tensorboard
xlm-roberta
text-classification
generated_from_trainer
generator
FacebookAI/xlm-roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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test_emotion_detection_gersti
This model is a fine-tuned version of
xlm-roberta-base
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.6884
Accuracy: 0.5371
F1: 0.1427
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7
Training results
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3