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akmalluthfi/
IndoBERTweet-Plutchik-Emotion-Classifier

Name: IndoBERTweet-Plutchik-Emotion-Classifier
Availability: InStock

generated_from_trainer

indolem/indobertweet-base-uncased

finetune

apache-2.0

text-embeddings-inference

endpoints_compatible

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IndoBERTweet-Plutchik-Emotion-Classifier

This model is a fine-tuned version of indolem/indobertweet-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9306
F1: 0.6540

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: 256
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.9122	1.0	1707	0.8542	0.6386
0.7600	2.0	3414	0.8320	0.6509
0.6177	3.0	5121	0.8593	0.6561
0.5155	4.0	6828	0.8975	0.6551
0.4573	5.0	8535	0.9306	0.6540

Framework versions

Transformers 5.12.1
Pytorch 2.13.0+cu132
Datasets 5.0.0
Tokenizers 0.22.2

akmalluthfi/IndoBERTweet-Plutchik-Emotion-Classifier

IndoBERTweet-Plutchik-Emotion-Classifier

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

akmalluthfi/
IndoBERTweet-Plutchik-Emotion-Classifier