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--- |
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library_name: transformers |
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language: |
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- en |
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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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model-index: |
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- name: twitter-roberta-base-sentiment-tweet-sentiment |
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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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# twitter-roberta-base-sentiment-tweet-sentiment |
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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 the Twitter Sentiment Datasets dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4612 |
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- Accuracy: 0.8139 |
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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: 1.5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 5 |
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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 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.5631 | 0.9985 | 332 | 0.4943 | 0.8013 | |
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| 0.4851 | 2.0 | 665 | 0.4745 | 0.8099 | |
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| 0.4166 | 2.9985 | 997 | 0.4612 | 0.8139 | |
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| 0.3621 | 4.0 | 1330 | 0.4830 | 0.8141 | |
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| 0.325 | 4.9925 | 1660 | 0.4989 | 0.8164 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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