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--- |
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base_model: finiteautomata/bertweet-base-sentiment-analysis |
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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: bertweet-olid |
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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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# bertweet-olid |
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This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-analysis](https://huggingface.co./finiteautomata/bertweet-base-sentiment-analysis) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0303 |
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- Accuracy: 0.8104 |
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- F1: 0.8082 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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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| 0.3675 | 1.0 | 774 | 0.4257 | 0.8233 | 0.8217 | |
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| 0.3006 | 2.0 | 1548 | 0.3651 | 0.8385 | 0.8383 | |
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| 0.2461 | 3.0 | 2322 | 0.4812 | 0.8301 | 0.8298 | |
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| 0.202 | 4.0 | 3096 | 0.6835 | 0.8324 | 0.8324 | |
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| 0.1533 | 5.0 | 3870 | 1.0303 | 0.8104 | 0.8082 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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