Model save
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: indobenchmark/indobert-base-p1
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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: indobert-finetuned-sentiment-happiness-index
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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-finetuned-sentiment-happiness-index
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This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4822
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- Accuracy: 0.7983
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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: 16
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- eval_batch_size: 16
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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: 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 | 270 | 0.5354 | 0.7835 |
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| 0.532 | 2.0 | 540 | 0.6245 | 0.7567 |
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| 0.532 | 3.0 | 810 | 0.7406 | 0.7826 |
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| 0.1836 | 4.0 | 1080 | 1.0813 | 0.7919 |
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| 0.1836 | 5.0 | 1350 | 1.2524 | 0.7891 |
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| 0.0446 | 6.0 | 1620 | 1.3158 | 0.8039 |
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| 0.0446 | 7.0 | 1890 | 1.4308 | 0.7965 |
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| 0.0152 | 8.0 | 2160 | 1.4485 | 0.7974 |
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| 0.0152 | 9.0 | 2430 | 1.4915 | 0.8030 |
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| 0.0054 | 10.0 | 2700 | 1.4822 | 0.7983 |
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 497842993
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version https://git-lfs.github.com/spec/v1
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size 497842993
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