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: xlm-roberta-base
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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: xlm-roberta-base-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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# xlm-roberta-base-reddit-indonesia-sarcastic
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6826
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- Accuracy: 0.8044
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- F1: 0.5818
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- Precision: 0.6254
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- Recall: 0.5439
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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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| 0.5174 | 1.0 | 309 | 0.4618 | 0.7725 | 0.4641 | 0.5650 | 0.3938 |
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| 0.4462 | 2.0 | 618 | 0.4407 | 0.7994 | 0.5428 | 0.6316 | 0.4759 |
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| 0.3952 | 3.0 | 927 | 0.4690 | 0.8037 | 0.4991 | 0.69 | 0.3909 |
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| 0.3525 | 4.0 | 1236 | 0.4905 | 0.8079 | 0.5152 | 0.6990 | 0.4079 |
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| 0.3102 | 5.0 | 1545 | 0.4741 | 0.8122 | 0.5917 | 0.6486 | 0.5439 |
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| 0.2645 | 6.0 | 1854 | 0.4964 | 0.8101 | 0.5976 | 0.6358 | 0.5637 |
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| 0.2168 | 7.0 | 2163 | 0.5216 | 0.8079 | 0.5824 | 0.6385 | 0.5354 |
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| 0.1759 | 8.0 | 2472 | 0.6826 | 0.8044 | 0.5818 | 0.6254 | 0.5439 |
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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 1112205008
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version https://git-lfs.github.com/spec/v1
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size 1112205008
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