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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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- accuracy |
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model-index: |
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- name: summerschool-bert-irony |
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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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# ssummerschool-bert-irony |
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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: 0.8767 |
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- Accuracy: 0.7015 |
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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: 2e-05 |
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- train_batch_size: 16 |
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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: 5 |
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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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| 0.6792 | 0.2793 | 50 | 0.6678 | 0.5759 | |
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| 0.6489 | 0.5587 | 100 | 0.6514 | 0.6147 | |
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| 0.6282 | 0.8380 | 150 | 0.6360 | 0.6461 | |
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| 0.5746 | 1.1173 | 200 | 0.6596 | 0.6492 | |
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| 0.5325 | 1.3966 | 250 | 0.6253 | 0.6785 | |
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| 0.5431 | 1.6760 | 300 | 0.6226 | 0.6712 | |
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| 0.5058 | 1.9553 | 350 | 0.5896 | 0.6869 | |
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| 0.3982 | 2.2346 | 400 | 0.6467 | 0.6859 | |
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| 0.3837 | 2.5140 | 450 | 0.7012 | 0.6785 | |
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| 0.3714 | 2.7933 | 500 | 0.7326 | 0.6586 | |
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| 0.347 | 3.0726 | 550 | 0.7592 | 0.6702 | |
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| 0.247 | 3.3520 | 600 | 0.7466 | 0.6942 | |
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| 0.2382 | 3.6313 | 650 | 0.7514 | 0.6953 | |
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| 0.2304 | 3.9106 | 700 | 0.8268 | 0.6838 | |
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| 0.1716 | 4.1899 | 750 | 0.8822 | 0.6806 | |
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| 0.1631 | 4.4693 | 800 | 0.8698 | 0.6932 | |
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| 0.1435 | 4.7486 | 850 | 0.9178 | 0.6838 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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