End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: indolem/indobert-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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model-index:
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- name: Zidan_model_output_v3
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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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# Zidan_model_output_v3
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8558
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- Accuracy: 0.6364
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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: 1e-06
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- train_batch_size: 4
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- eval_batch_size: 8
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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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- lr_scheduler_warmup_steps: 100
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 193 | 1.0399 | 0.5114 |
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| No log | 2.0 | 386 | 0.9771 | 0.5758 |
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| 1.0347 | 3.0 | 579 | 0.9387 | 0.5947 |
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| 1.0347 | 4.0 | 772 | 0.8982 | 0.6136 |
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| 1.0347 | 5.0 | 965 | 0.8807 | 0.625 |
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| 0.848 | 6.0 | 1158 | 0.8706 | 0.6288 |
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| 0.848 | 7.0 | 1351 | 0.8641 | 0.6515 |
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| 0.7481 | 8.0 | 1544 | 0.8558 | 0.6364 |
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| 0.7481 | 9.0 | 1737 | 0.8595 | 0.6326 |
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| 0.7481 | 10.0 | 1930 | 0.8559 | 0.6439 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 442265596
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version https://git-lfs.github.com/spec/v1
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size 442265596
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