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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-7labels |
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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-7labels |
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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: 0.3040 |
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- Accuracy: 0.8968 |
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- F1: 0.8916 |
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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: 2.1732582582331977e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 1203 |
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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_ratio: 0.1 |
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- num_epochs: 2 |
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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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| 0.9592 | 0.3272 | 1500 | 0.6466 | 0.7665 | 0.7503 | |
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| 0.4705 | 0.6545 | 3000 | 0.3785 | 0.8674 | 0.8528 | |
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| 0.4196 | 0.9817 | 4500 | 0.5830 | 0.7892 | 0.7775 | |
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| 0.3403 | 1.3089 | 6000 | 0.3683 | 0.8767 | 0.8728 | |
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| 0.2962 | 1.6361 | 7500 | 0.3288 | 0.8889 | 0.8904 | |
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| 0.272 | 1.9634 | 9000 | 0.3040 | 0.8968 | 0.8916 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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