| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: bert_Pfinal_2e-5_16_10 |
| 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_Pfinal_2e-5_16_10 |
|
|
| This model is a fine-tuned version of [fredymad/bert_Pfinal_2e-5_16_2](https://huggingface.co/fredymad/bert_Pfinal_2e-5_16_2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6295 |
| - F1: 0.7355 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
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|
| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.101 | 1.0 | 669 | 0.3000 | 0.7169 | |
| | 0.1282 | 2.0 | 1338 | 0.2993 | 0.7361 | |
| | 0.0548 | 3.0 | 2007 | 0.3924 | 0.7308 | |
| | 0.0278 | 4.0 | 2676 | 0.4989 | 0.7221 | |
| | 0.0229 | 5.0 | 3345 | 0.6089 | 0.6940 | |
| | 0.0168 | 6.0 | 4014 | 0.5561 | 0.7361 | |
| | 0.0082 | 7.0 | 4683 | 0.6112 | 0.7297 | |
| | 0.008 | 8.0 | 5352 | 0.6101 | 0.7343 | |
| | 0.0052 | 9.0 | 6021 | 0.6253 | 0.7400 | |
| | 0.003 | 10.0 | 6690 | 0.6295 | 0.7355 | |
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| ### Framework versions |
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|
| - Transformers 4.28.0 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
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|
