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---
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library_name: transformers
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base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
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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: result5
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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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# result5
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5748
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- Accuracy: 0.6675
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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: 2e-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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.918 | 1.0 | 723 | 0.8138 | 0.5976 |
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| 0.8076 | 2.0 | 1446 | 0.7441 | 0.6526 |
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| 0.6241 | 3.0 | 2169 | 0.7686 | 0.6668 |
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| 0.5388 | 4.0 | 2892 | 0.8273 | 0.6619 |
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| 0.4128 | 5.0 | 3615 | 0.8671 | 0.6654 |
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| 0.3533 | 6.0 | 4338 | 1.0156 | 0.6678 |
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| 0.2767 | 7.0 | 5061 | 1.1771 | 0.6734 |
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| 0.2269 | 8.0 | 5784 | 1.3952 | 0.6671 |
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| 0.1886 | 9.0 | 6507 | 1.5021 | 0.6702 |
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| 0.1501 | 10.0 | 7230 | 1.5748 | 0.6675 |
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### Framework versions
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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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