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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: bert-base-banking77-pt2 |
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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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# bert-base-banking77-pt2 |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3089 |
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- F1: 0.9362 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 3.261 | 1.0 | 313 | 1.0894 | 0.7969 | |
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| 0.5499 | 2.0 | 626 | 0.4196 | 0.9103 | |
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| 0.305 | 3.0 | 939 | 0.3403 | 0.9157 | |
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| 0.1277 | 4.0 | 1252 | 0.3020 | 0.9251 | |
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| 0.0857 | 5.0 | 1565 | 0.2911 | 0.9306 | |
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| 0.0347 | 6.0 | 1878 | 0.2865 | 0.9333 | |
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| 0.0251 | 7.0 | 2191 | 0.2994 | 0.9362 | |
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| 0.0111 | 8.0 | 2504 | 0.2970 | 0.9365 | |
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| 0.0075 | 9.0 | 2817 | 0.3102 | 0.9364 | |
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| 0.0058 | 10.0 | 3130 | 0.3089 | 0.9362 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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