End of training

README.md

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+---
+library_name: transformers
+base_model: citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Malay-Sentiment-4
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Malay-Sentiment-4
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.7536
+- Accuracy: 0.7543
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 246  | 0.6416          | 0.7188   |
+| No log        | 2.0   | 492  | 0.6939          | 0.7574   |
+| 0.6012        | 3.0   | 738  | 0.7536          | 0.7543   |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.2.2+cu118
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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