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--- |
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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: twitter-roberta-base-sentiment-latest |
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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-latest |
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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: 0.3658 |
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- Accuracy: 0.8045 |
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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: 5e-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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 3 |
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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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| 0.6116 | 0.2 | 100 | 0.4453 | 0.6965 | |
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| 0.4047 | 0.4 | 200 | 0.3999 | 0.735 | |
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| 0.3979 | 0.6 | 300 | 0.3641 | 0.7655 | |
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| 0.3828 | 0.8 | 400 | 0.3512 | 0.7635 | |
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| 0.3805 | 1.0 | 500 | 0.3489 | 0.776 | |
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| 0.3454 | 1.2 | 600 | 0.3488 | 0.774 | |
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| 0.3135 | 1.4 | 700 | 0.3529 | 0.785 | |
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| 0.3216 | 1.6 | 800 | 0.3344 | 0.7845 | |
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| 0.3005 | 1.8 | 900 | 0.3793 | 0.789 | |
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| 0.3041 | 2.0 | 1000 | 0.3324 | 0.7925 | |
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| 0.2126 | 2.2 | 1100 | 0.3839 | 0.7895 | |
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| 0.2218 | 2.4 | 1200 | 0.3653 | 0.7955 | |
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| 0.1986 | 2.6 | 1300 | 0.3745 | 0.803 | |
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| 0.2049 | 2.8 | 1400 | 0.3586 | 0.802 | |
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| 0.1911 | 3.0 | 1500 | 0.3658 | 0.8045 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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