End of training
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README.md
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---
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license: apache-2.0
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base_model: alex-miller/ODABert
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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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- precision
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- recall
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model-index:
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- name: cva-quant-weighted-classifier
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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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# cva-quant-weighted-classifier
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This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5278
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- Accuracy: 0.8214
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- F1: 0.8148
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- Precision: 0.7857
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- Recall: 0.8462
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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-06
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.6851 | 1.0 | 7 | 0.6688 | 0.5 | 0.5882 | 0.4762 | 0.7692 |
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| 0.6626 | 2.0 | 14 | 0.6466 | 0.6786 | 0.7097 | 0.6111 | 0.8462 |
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| 0.6353 | 3.0 | 21 | 0.6255 | 0.75 | 0.7586 | 0.6875 | 0.8462 |
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| 0.6157 | 4.0 | 28 | 0.6029 | 0.7857 | 0.7857 | 0.7333 | 0.8462 |
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| 0.5949 | 5.0 | 35 | 0.5822 | 0.8214 | 0.8148 | 0.7857 | 0.8462 |
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| 0.5808 | 6.0 | 42 | 0.5638 | 0.8214 | 0.8148 | 0.7857 | 0.8462 |
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| 0.5585 | 7.0 | 49 | 0.5493 | 0.8214 | 0.8148 | 0.7857 | 0.8462 |
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| 0.5464 | 8.0 | 56 | 0.5376 | 0.8214 | 0.8148 | 0.7857 | 0.8462 |
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| 0.5326 | 9.0 | 63 | 0.5304 | 0.8214 | 0.8148 | 0.7857 | 0.8462 |
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| 0.5236 | 10.0 | 70 | 0.5278 | 0.8214 | 0.8148 | 0.7857 | 0.8462 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Aug02_13-18-14_a0ae54856f2b/events.out.tfevents.1722604695.a0ae54856f2b.778.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa24f4302f4125e8a791ac0d681ff4dd206158849dcfb38a10c281f7c108ab7a
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size 12245
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