| --- |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - accuracy |
| - f1 |
| model-index: |
| - name: bert-base-phia-secondhandDescription-100 |
| 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-secondhandDescription-100 |
|
|
| 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: 2.2601 |
| - Precision: 0.3167 |
| - Recall: 0.3333 |
| - Accuracy: 0.3333 |
| - F1: 0.2933 |
|
|
| ## 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: 10 |
| - eval_batch_size: 10 |
| - 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 | Precision | Recall | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:| |
| | No log | 1.0 | 9 | 2.4405 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 2.0 | 18 | 2.3760 | 0.0833 | 0.2 | 0.2 | 0.1156 | |
| | No log | 3.0 | 27 | 2.3655 | 0.0148 | 0.0667 | 0.0667 | 0.0242 | |
| | No log | 4.0 | 36 | 2.4138 | 0.0467 | 0.1333 | 0.1333 | 0.0667 | |
| | No log | 5.0 | 45 | 2.3539 | 0.2833 | 0.3333 | 0.3333 | 0.2933 | |
| | No log | 6.0 | 54 | 2.3328 | 0.075 | 0.1333 | 0.1333 | 0.0815 | |
| | No log | 7.0 | 63 | 2.3062 | 0.1095 | 0.2 | 0.2 | 0.1278 | |
| | No log | 8.0 | 72 | 2.3072 | 0.3111 | 0.3333 | 0.3333 | 0.2857 | |
| | No log | 9.0 | 81 | 2.2739 | 0.2611 | 0.3333 | 0.3333 | 0.2800 | |
| | No log | 10.0 | 90 | 2.2601 | 0.3167 | 0.3333 | 0.3333 | 0.2933 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.42.3 |
| - Pytorch 2.3.1 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
|
|
