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Hanisnabila
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Malay-Sentiment-3

Text Classification
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xlm-roberta
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Hanisnabila commited on
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Training in progress, epoch 1

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Files changed (24) hide show
  1. .gitattributes +1 -0
  2. README.md +60 -0
  3. config.json +40 -0
  4. model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
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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: Malay-Sentiment-3
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+ results: []
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+ ---
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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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+
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+ # Malay-Sentiment-3
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+
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+ This model is a fine-tuned version of [citizenlab/twitter-xlm-roberta-base-sentiment-finetunned](https://huggingface.co/citizenlab/twitter-xlm-roberta-base-sentiment-finetunned) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5918
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+ - Accuracy: 0.7516
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.7317 | 1.0 | 723 | 0.5918 | 0.7516 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.2
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+ - Pytorch 2.2.2+cu118
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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