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--- |
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license: apache-2.0 |
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base_model: indolem/indobertweet-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: sentiment-tapera |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# sentiment-tapera |
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This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6966 |
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- Accuracy: 0.8455 |
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- Precision: 0.7812 |
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- Recall: 0.7567 |
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- F1: 0.7675 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.6236 | 1.0 | 90 | 0.5920 | 0.8049 | 0.5358 | 0.5904 | 0.5575 | |
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| 0.363 | 2.0 | 180 | 0.4065 | 0.8374 | 0.7515 | 0.7181 | 0.7322 | |
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| 0.1506 | 3.0 | 270 | 0.4414 | 0.8537 | 0.8191 | 0.7303 | 0.7606 | |
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| 0.0619 | 4.0 | 360 | 0.6592 | 0.8496 | 0.8036 | 0.7151 | 0.7420 | |
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| 0.0261 | 5.0 | 450 | 0.6966 | 0.8455 | 0.7812 | 0.7567 | 0.7675 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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