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--- |
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library_name: transformers |
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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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model-index: |
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- name: twitter-roberta-base-sentiment-finetuned-emotionverse |
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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-finetuned-emotionverse |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.6309 |
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- Model Preparation Time: 0.0055 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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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 | Model Preparation Time | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:| |
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| 8.6965 | 1.0 | 49 | 5.9881 | 0.0055 | |
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| 5.4416 | 2.0 | 98 | 4.8394 | 0.0055 | |
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| 4.7976 | 3.0 | 147 | 4.5740 | 0.0055 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.1 |
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