End of training
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README.md
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---
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library_name: transformers
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license: mit
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base_model: indobenchmark/indobert-large-p1
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- f1
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model-index:
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- name: indobert-smsa_doc-finetuned
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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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# indobert-smsa_doc-finetuned
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This model is a fine-tuned version of [indobenchmark/indobert-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3324
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- Precision: 0.9413
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- F1: 0.9413
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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: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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 | Precision | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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| 0.0285 | 1.0 | 1238 | 0.2476 | 0.9357 | 0.9357 |
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| 0.0076 | 2.0 | 2476 | 0.2532 | 0.9397 | 0.9397 |
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| 0.001 | 3.0 | 3714 | 0.3324 | 0.9413 | 0.9413 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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model.safetensors
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runs/Oct05_00-39-00_7f18c65eac7c/events.out.tfevents.1728088741.7f18c65eac7c.5538.0
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