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--- |
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license: mit |
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base_model: roberta-base |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: irony_en_Ireland |
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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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# irony_en_Ireland |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0047 |
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- Accuracy: 0.7114 |
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- Precision: 0.4444 |
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- Recall: 0.5049 |
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- F1: 0.4727 |
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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-06 |
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- train_batch_size: 16 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.0044 | 1.0 | 76 | 0.0042 | 0.7289 | 0.3636 | 0.0777 | 0.128 | |
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| 0.004 | 2.0 | 152 | 0.0035 | 0.5945 | 0.35 | 0.6796 | 0.4620 | |
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| 0.0033 | 3.0 | 228 | 0.0032 | 0.6318 | 0.3669 | 0.6019 | 0.4559 | |
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| 0.0028 | 4.0 | 304 | 0.0030 | 0.6766 | 0.4069 | 0.5728 | 0.4758 | |
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| 0.0023 | 5.0 | 380 | 0.0027 | 0.5771 | 0.3537 | 0.7864 | 0.4880 | |
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| 0.0015 | 6.0 | 456 | 0.0027 | 0.6194 | 0.375 | 0.7282 | 0.4950 | |
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| 0.0012 | 7.0 | 532 | 0.0041 | 0.7289 | 0.4717 | 0.4854 | 0.4785 | |
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| 0.0009 | 8.0 | 608 | 0.0047 | 0.7114 | 0.4444 | 0.5049 | 0.4727 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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