Model save
Browse files- README.md +74 -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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- f1
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- precision
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- recall
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model-index:
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- name: indobert-base-uncased-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-uncased-reddit-indonesia-sarcastic
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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: 0.6153
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- Accuracy: 0.7817
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- F1: 0.5523
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- Precision: 0.5672
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- Recall: 0.5382
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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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| 0.5121 | 1.0 | 309 | 0.4942 | 0.7378 | 0.4774 | 0.4761 | 0.4788 |
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| 0.4513 | 2.0 | 618 | 0.4422 | 0.7952 | 0.4956 | 0.6455 | 0.4023 |
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| 0.4078 | 3.0 | 927 | 0.4771 | 0.7980 | 0.4075 | 0.7656 | 0.2776 |
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| 0.3686 | 4.0 | 1236 | 0.4755 | 0.8051 | 0.4898 | 0.7097 | 0.3739 |
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| 0.3358 | 5.0 | 1545 | 0.4864 | 0.7753 | 0.5768 | 0.5455 | 0.6119 |
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| 0.299 | 6.0 | 1854 | 0.5038 | 0.7633 | 0.5729 | 0.5221 | 0.6346 |
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| 0.2602 | 7.0 | 2163 | 0.5242 | 0.7888 | 0.5387 | 0.5939 | 0.4929 |
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| 0.2184 | 8.0 | 2472 | 0.6153 | 0.7817 | 0.5523 | 0.5672 | 0.5382 |
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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 442262520
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version https://git-lfs.github.com/spec/v1
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size 442262520
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