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--- |
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base_model: UBC-NLP/MARBERTv2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: Model3_Marabertv2_T1_WS_A100 |
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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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# Model3_Marabertv2_T1_WS_A100 |
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This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2316 |
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- F1: 0.8336 |
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- F1 Macro: 0.7718 |
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- Roc Auc: 0.8974 |
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- Accuracy: 0.8066 |
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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-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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | F1 Macro | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:-------:|:--------:| |
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| 0.2253 | 1.0 | 507 | 0.1618 | 0.8162 | 0.7404 | 0.8787 | 0.7814 | |
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| 0.1159 | 2.0 | 1014 | 0.1652 | 0.8273 | 0.7545 | 0.8928 | 0.8017 | |
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| 0.073 | 3.0 | 1521 | 0.1883 | 0.8355 | 0.7645 | 0.8996 | 0.8045 | |
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| 0.0454 | 4.0 | 2028 | 0.2138 | 0.8408 | 0.7700 | 0.9026 | 0.8128 | |
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| 0.0301 | 5.0 | 2535 | 0.2316 | 0.8336 | 0.7718 | 0.8974 | 0.8066 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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