Training completed!
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README.md
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---
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license: apache-2.0
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base_model: distilbert-base-uncased
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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: reporting-multiclass
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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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# reporting-multiclass
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1098
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- F1: 1.0
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- Roc Auc: 1.0
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- Accuracy: 1.0
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| 0.5931 | 1.0 | 33 | 0.4546 | 0.3988 | 0.6313 | 0.0 |
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| 0.4492 | 2.0 | 66 | 0.3765 | 0.4629 | 0.6625 | 0.0446 |
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| 0.3941 | 3.0 | 99 | 0.3113 | 0.6222 | 0.7403 | 0.0893 |
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| 0.3004 | 4.0 | 132 | 0.2589 | 0.7948 | 0.8383 | 0.375 |
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| 0.2581 | 5.0 | 165 | 0.2200 | 0.8741 | 0.8935 | 0.6071 |
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| 0.2375 | 6.0 | 198 | 0.1922 | 0.9129 | 0.9302 | 0.6875 |
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| 0.1881 | 7.0 | 231 | 0.1711 | 0.9333 | 0.9375 | 0.75 |
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| 0.1806 | 8.0 | 264 | 0.1546 | 0.9390 | 0.9456 | 0.7857 |
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| 0.164 | 9.0 | 297 | 0.1412 | 0.9654 | 0.9665 | 0.8661 |
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| 0.1466 | 10.0 | 330 | 0.1309 | 0.9654 | 0.9665 | 0.8661 |
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| 0.1318 | 11.0 | 363 | 0.1229 | 0.9772 | 0.9777 | 0.9107 |
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| 0.13 | 12.0 | 396 | 0.1169 | 0.9933 | 0.9933 | 0.9732 |
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| 0.1225 | 13.0 | 429 | 0.1129 | 1.0 | 1.0 | 1.0 |
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| 0.1165 | 14.0 | 462 | 0.1106 | 1.0 | 1.0 | 1.0 |
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| 0.1215 | 15.0 | 495 | 0.1098 | 1.0 | 1.0 | 1.0 |
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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/Aug11_11-46-24_ed30962da2e1/events.out.tfevents.1723376825.ed30962da2e1.1778.0
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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:f1496cd7410a6b87cc784ad2f47eebf1f8044619a6bbbb02c059d8919f279bfe
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size 16059
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