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bert-sentiment-indotwitter – AI Model by Elytra1st | AlphaNeural AI
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Elytra1st
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bert-sentiment-indotwitter
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
indolem/indobertweet-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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bert-sentiment-indotwitter
This model is a fine-tuned version of
indolem/indobertweet-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1783
Accuracy: 0.9727
F1 Macro: 0.8586
Precision: 0.9722
Recall: 0.9727
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
Precision
Recall
0.0336
1.0
1061
0.1646
0.9693
0.8524
0.9696
0.9693
0.001
2.0
2122
0.1684
0.9718
0.8555
0.9706
0.9718
0.0073
3.0
3183
0.1783
0.9727
0.8586
0.9722
0.9727
Framework versions
Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
