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--- |
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license: apache-2.0 |
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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: distilbert-base-uncased-finetuned-intro-verizon |
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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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# distilbert-base-uncased-finetuned-intro-verizon |
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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: 0.0400 |
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- Accuracy: 1.0 |
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- F1: 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: 64 |
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- eval_batch_size: 64 |
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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: 20 |
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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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| 0.3753 | 1.0 | 3 | 0.2877 | 1.0 | 1.0 | |
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| 0.278 | 2.0 | 6 | 0.2253 | 1.0 | 1.0 | |
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| 0.2366 | 3.0 | 9 | 0.1788 | 1.0 | 1.0 | |
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| 0.1721 | 4.0 | 12 | 0.1433 | 1.0 | 1.0 | |
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| 0.1531 | 5.0 | 15 | 0.1173 | 1.0 | 1.0 | |
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| 0.117 | 6.0 | 18 | 0.0980 | 1.0 | 1.0 | |
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| 0.108 | 7.0 | 21 | 0.0841 | 1.0 | 1.0 | |
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| 0.0916 | 8.0 | 24 | 0.0737 | 1.0 | 1.0 | |
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| 0.0843 | 9.0 | 27 | 0.0656 | 1.0 | 1.0 | |
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| 0.0701 | 10.0 | 30 | 0.0594 | 1.0 | 1.0 | |
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| 0.0683 | 11.0 | 33 | 0.0546 | 1.0 | 1.0 | |
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| 0.0599 | 12.0 | 36 | 0.0508 | 1.0 | 1.0 | |
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| 0.058 | 13.0 | 39 | 0.0478 | 1.0 | 1.0 | |
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| 0.0512 | 14.0 | 42 | 0.0454 | 1.0 | 1.0 | |
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| 0.0523 | 15.0 | 45 | 0.0437 | 1.0 | 1.0 | |
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| 0.0515 | 16.0 | 48 | 0.0423 | 1.0 | 1.0 | |
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| 0.0468 | 17.0 | 51 | 0.0413 | 1.0 | 1.0 | |
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| 0.0472 | 18.0 | 54 | 0.0406 | 1.0 | 1.0 | |
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| 0.0479 | 19.0 | 57 | 0.0401 | 1.0 | 1.0 | |
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| 0.0474 | 20.0 | 60 | 0.0400 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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