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xlm-roberta-base-finetuned-emotion – AI Model by 24bean | AlphaNeural AI
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24bean
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xlm-roberta-base-finetuned-emotion
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transformers
pytorch
tensorboard
xlm-roberta
text-classification
generated_from_trainer
emotion
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: 0.1597
Accuracy: 0.93
F1: 0.9306
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
1.2299
1.0
250
0.6646
0.7735
0.7537
0.4722
2.0
500
0.2553
0.9105
0.9112
0.2207
3.0
750
0.1990
0.9215
0.9221
0.1559
4.0
1000
0.1537
0.931
0.9312
0.129
5.0
1250
0.1597
0.93
0.9306
Framework versions
Transformers 4.29.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
