Model save
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README.md
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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: digidawfinal1
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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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# digidawfinal1
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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: 0.7436
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- Accuracy: 0.7997
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- Precision: 0.6770
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- Recall: 0.5562
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- F1: 0.5692
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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: 3
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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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| 0.9382 | 1.0 | 110 | 0.7230 | 0.7797 | 0.5441 | 0.4990 | 0.5122 |
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| 0.5261 | 2.0 | 220 | 0.7172 | 0.7850 | 0.5485 | 0.5116 | 0.5248 |
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| 0.2929 | 3.0 | 330 | 0.7436 | 0.7997 | 0.6770 | 0.5562 | 0.5692 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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model.safetensors
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