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--- |
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license: mit |
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base_model: microsoft/deberta-v3-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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model-index: |
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- name: unga-climate-classifier |
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results: [] |
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--- |
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# ECCA climate classifier |
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0936 |
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- Accuracy: 0.9798 |
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- F1 Macro: 0.9765 |
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- Accuracy Balanced: 0.9751 |
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- F1 Micro: 0.9798 |
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- Precision Macro: 0.9780 |
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- Recall Macro: 0.9751 |
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- Precision Micro: 0.9798 |
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- Recall Micro: 0.9798 |
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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: 80 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:| |
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| No log | 1.0 | 123 | 0.1778 | 0.9609 | 0.9543 | 0.9510 | 0.9609 | 0.9577 | 0.9510 | 0.9609 | 0.9609 | |
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| No log | 2.0 | 246 | 0.1614 | 0.9680 | 0.9626 | 0.9593 | 0.9680 | 0.9661 | 0.9593 | 0.9680 | 0.9680 | |
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| No log | 3.0 | 369 | 0.1598 | 0.9680 | 0.9626 | 0.9593 | 0.9680 | 0.9661 | 0.9593 | 0.9680 | 0.9680 | |
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| No log | 4.0 | 492 | 0.1191 | 0.9703 | 0.9653 | 0.9610 | 0.9703 | 0.9699 | 0.9610 | 0.9703 | 0.9703 | |
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| 0.1357 | 5.0 | 615 | 0.1400 | 0.9727 | 0.9681 | 0.9638 | 0.9727 | 0.9727 | 0.9638 | 0.9727 | 0.9727 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.6.0 |
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- Tokenizers 0.15.1 |
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