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Malay-Sentiment2 – AI Model by afiqlol | AlphaNeural AI
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afiqlol
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Malay-Sentiment2
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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-Sentiment2
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: 0.5757
Accuracy: 0.7578
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: 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
0.7066
1.0
723
0.5757
0.7578
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cpu
Datasets 2.14.5
Tokenizers 0.15.0
