| --- |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: bert-base-phia-test |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # bert-base-phia-test |
|
|
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0910 |
| - F1: 0.9900 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | No log | 1.0 | 50 | 1.4259 | 0.5356 | |
| | No log | 2.0 | 100 | 0.9857 | 0.6872 | |
| | No log | 3.0 | 150 | 0.6589 | 0.7432 | |
| | 1.2595 | 4.0 | 200 | 0.4964 | 0.7834 | |
| | 1.2595 | 5.0 | 250 | 0.3924 | 0.8645 | |
| | 1.2595 | 6.0 | 300 | 0.2486 | 0.9424 | |
| | 1.2595 | 7.0 | 350 | 0.1698 | 0.9673 | |
| | 0.3376 | 8.0 | 400 | 0.1360 | 0.9763 | |
| | 0.3376 | 9.0 | 450 | 0.1050 | 0.9763 | |
| | 0.3376 | 10.0 | 500 | 0.0910 | 0.9900 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.42.3 |
| - Pytorch 2.3.1 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
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|
