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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google-bert/bert-large-uncased |
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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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model-index: |
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- name: finrobberta |
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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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# finrobberta |
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This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4613 |
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- Accuracy: 0.84 |
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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: 1e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: linear |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.8156 | 1.0 | 52 | 0.8772 | 0.5 | |
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| 0.5711 | 2.0 | 104 | 0.7082 | 0.67 | |
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| 0.4828 | 3.0 | 156 | 0.5083 | 0.79 | |
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| 0.3927 | 4.0 | 208 | 0.4988 | 0.83 | |
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| 0.3866 | 5.0 | 260 | 0.4750 | 0.82 | |
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| 0.2902 | 6.0 | 312 | 0.4613 | 0.84 | |
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| 0.2616 | 7.0 | 364 | 0.4632 | 0.82 | |
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| 0.2209 | 8.0 | 416 | 0.4728 | 0.82 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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