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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-test1 |
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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-test1 |
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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: 0.3334 |
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- Accuracy: 0.8826 |
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- F1: 0.8823 |
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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: 9.656814753771254e-06 |
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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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| 0.9822 | 0.1550 | 100 | 0.7065 | 0.6772 | 0.5469 | |
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| 0.7307 | 0.3101 | 200 | 0.5716 | 0.7471 | 0.7179 | |
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| 0.6482 | 0.4651 | 300 | 0.5388 | 0.7716 | 0.7493 | |
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| 0.6008 | 0.6202 | 400 | 0.4300 | 0.8494 | 0.8446 | |
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| 0.5237 | 0.7752 | 500 | 0.4190 | 0.8343 | 0.8401 | |
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| 0.5106 | 0.9302 | 600 | 0.4114 | 0.8444 | 0.8404 | |
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| 0.4832 | 1.0853 | 700 | 0.3865 | 0.8545 | 0.8596 | |
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| 0.4031 | 1.2403 | 800 | 0.3741 | 0.8602 | 0.8653 | |
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| 0.3729 | 1.3953 | 900 | 0.3334 | 0.8826 | 0.8823 | |
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| 0.3661 | 1.5504 | 1000 | 0.3494 | 0.8725 | 0.8750 | |
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| 0.332 | 1.7054 | 1100 | 0.3390 | 0.8725 | 0.8753 | |
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| 0.3637 | 1.8605 | 1200 | 0.3386 | 0.8689 | 0.8724 | |
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### Framework versions |
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- Transformers 4.40.0 |
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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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