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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-1layer-distill-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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# summerschool-1layer-distill-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: 1.6811 |
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- Accuracy: 0.5226 |
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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: 0.0001 |
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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: 2 |
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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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| 0.5919 | 0.1776 | 100 | 0.5602 | 0.718 | |
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| 0.5094 | 0.3552 | 200 | 0.5458 | 0.722 | |
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| 0.458 | 0.5329 | 300 | 0.5431 | 0.758 | |
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| 0.4826 | 0.7105 | 400 | 0.5628 | 0.758 | |
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| 0.4127 | 0.8881 | 500 | 0.5009 | 0.751 | |
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| 0.3931 | 1.0657 | 600 | 0.5868 | 0.751 | |
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| 0.287 | 1.2433 | 700 | 0.6045 | 0.767 | |
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| 0.262 | 1.4210 | 800 | 0.5380 | 0.771 | |
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| 0.2592 | 1.5986 | 900 | 0.5837 | 0.779 | |
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| 0.2711 | 1.7762 | 1000 | 0.5107 | 0.782 | |
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| 0.276 | 1.9538 | 1100 | 0.4911 | 0.796 | |
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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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