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--- |
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license: apache-2.0 |
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base_model: Twitter/twhin-bert-large |
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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: financial-twhin-bert-large-3labels-pesudo |
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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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# financial-twhin-bert-large-3labels-pesudo |
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This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5193 |
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- Accuracy: 0.8646 |
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- F1: 0.8689 |
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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: 2.6487905492726217e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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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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| 0.2072 | 1.0 | 2908 | 0.5193 | 0.8646 | 0.8689 | |
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| 0.1429 | 2.0 | 5816 | 0.5204 | 0.8890 | 0.8903 | |
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| 0.1062 | 3.0 | 8724 | 0.5502 | 0.8862 | 0.8881 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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