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--- |
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base_model: lupobricco/irony_classification_single_label_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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- f1 |
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model-index: |
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- name: ironita_finetuned_singlelabel_no_correlations |
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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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# ironita_finetuned_singlelabel_no_correlations |
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This model is a fine-tuned version of [lupobricco/irony_classification_single_label_base](https://huggingface.co/lupobricco/irony_classification_single_label_base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0734 |
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- Accuracy: 0.8162 |
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- F1: 0.4358 |
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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: 8 |
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- eval_batch_size: 8 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.4699 | 1.0 | 715 | 0.6672 | 0.8316 | 0.4141 | |
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| 0.2082 | 2.0 | 1430 | 1.0734 | 0.8162 | 0.4358 | |
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| 0.0699 | 3.0 | 2145 | 1.2288 | 0.8179 | 0.4059 | |
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| 0.0356 | 4.0 | 2860 | 1.2345 | 0.8213 | 0.4194 | |
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| 0.0245 | 5.0 | 3575 | 1.3995 | 0.8265 | 0.4007 | |
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| 0.0137 | 6.0 | 4290 | 1.4029 | 0.8230 | 0.4222 | |
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| 0.0166 | 7.0 | 5005 | 1.4924 | 0.8213 | 0.4000 | |
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| 0.0079 | 8.0 | 5720 | 1.5032 | 0.8299 | 0.3961 | |
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| 0.0126 | 9.0 | 6435 | 1.5878 | 0.8213 | 0.4285 | |
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| 0.0046 | 10.0 | 7150 | 1.5537 | 0.8213 | 0.4050 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu118 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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