End of training
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README.md
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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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