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Malay-Sentiment-3 – AI Model by Hanisnabila | AlphaNeural AI
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Hanisnabila
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Malay-Sentiment-3
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
finetune
autotrain_compatible
endpoints_compatible
us
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Malay-Sentiment-3
This model is a fine-tuned version of
citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5918
Accuracy: 0.7516
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7317
1.0
723
0.5918
0.7516
Framework versions
Transformers 4.45.2
Pytorch 2.2.2+cu118
Datasets 3.0.1
Tokenizers 0.20.0
