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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: cardiffnlp_twitter_roberta_base_sentiment_latest_Nov2023 |
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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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# cardiffnlp_twitter_roberta_base_sentiment_latest_Nov2023 |
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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: 0.3189 |
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- Accuracy: 0.805 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 2 |
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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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| 0.6619 | 0.2 | 100 | 0.5226 | 0.6285 | |
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| 0.4526 | 0.4 | 200 | 0.4150 | 0.716 | |
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| 0.4092 | 0.6 | 300 | 0.3898 | 0.728 | |
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| 0.3886 | 0.8 | 400 | 0.3441 | 0.773 | |
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| 0.3822 | 1.0 | 500 | 0.3494 | 0.767 | |
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| 0.3396 | 1.2 | 600 | 0.3470 | 0.7865 | |
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| 0.3156 | 1.4 | 700 | 0.3418 | 0.7875 | |
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| 0.3099 | 1.6 | 800 | 0.3231 | 0.794 | |
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| 0.2994 | 1.8 | 900 | 0.3371 | 0.7885 | |
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| 0.2907 | 2.0 | 1000 | 0.3189 | 0.805 | |
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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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