metadata

license: apache-2.0
base_model: patrickxchong/bert-tiny-bahasa-cased-sentiment
tags:
  - generated_from_trainer
model-index:
  - name: emotion-analysis-nanot5-small-malaysian-cased
    results: []

emotion-analysis-nanot5-small-malaysian-cased

This model is a fine-tuned version of patrickxchong/bert-tiny-bahasa-cased-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.9733
eval_accuracy: {'accuracy': 0.7276688453159041}
eval_f1score: {'f1': 0.7182408591455907}
eval_runtime: 6.6242
eval_samples_per_second: 138.583
eval_steps_per_second: 17.361
step: 0

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 642
num_epochs: 7

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1