Model save
Browse files- README.md +71 -0
- model.safetensors +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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- f1
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- precision
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- recall
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model-index:
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- name: indobert-base-p1-reddit-indonesia-sarcastic
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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-base-p1-reddit-indonesia-sarcastic
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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: 0.9796
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- Accuracy: 0.7881
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- F1: 0.5335
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- Precision: 0.5938
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- Recall: 0.4844
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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-05
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- train_batch_size: 32
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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: cosine
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- num_epochs: 100.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.4385 | 1.0 | 309 | 0.4258 | 0.7980 | 0.5675 | 0.6111 | 0.5297 |
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| 0.3451 | 2.0 | 618 | 0.4345 | 0.8030 | 0.6283 | 0.5949 | 0.6657 |
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| 0.2404 | 3.0 | 927 | 0.5054 | 0.8016 | 0.5318 | 0.6490 | 0.4504 |
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| 0.1326 | 4.0 | 1236 | 0.7033 | 0.7860 | 0.5452 | 0.5820 | 0.5127 |
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| 0.0787 | 5.0 | 1545 | 0.9796 | 0.7881 | 0.5335 | 0.5938 | 0.4844 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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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 497795072
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version https://git-lfs.github.com/spec/v1
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size 497795072
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