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--- |
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base_model: cardiffnlp/twitter-roberta-base-sentiment |
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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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model-index: |
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- name: TweetRoberta_5epochs |
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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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# TweetRoberta_5epochs |
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3387 |
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- Accuracy: 0.9452 |
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- F1: 0.9454 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
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| 0.2755 | 1.0 | 2500 | 0.4153 | 0.9176 | 0.9129 | |
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| 0.2107 | 2.0 | 5000 | 0.3076 | 0.9312 | 0.9341 | |
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| 0.1421 | 3.0 | 7500 | 0.2812 | 0.9428 | 0.9424 | |
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| 0.081 | 4.0 | 10000 | 0.3304 | 0.9464 | 0.9466 | |
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| 0.0601 | 5.0 | 12500 | 0.3387 | 0.9452 | 0.9454 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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