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xlm-roberta-base-finetuned-emotion – AI Model by florianehmann | AlphaNeural AI
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florianehmann
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xlm-roberta-base-finetuned-emotion
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
emotion
FacebookAI/xlm-roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-emotion
This model is a fine-tuned version of
xlm-roberta-base
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.1727
Accuracy: 0.929
F1: 0.9300
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 254
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.9321
1.0
500
0.3098
0.895
0.8961
0.2468
2.0
1000
0.1798
0.932
0.9326
0.1506
3.0
1500
0.1727
0.929
0.9300
Framework versions
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.0
