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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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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: results_bert_full |
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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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# results_bert_full |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4327 |
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- Accuracy: 0.8533 |
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- F1: 0.8517 |
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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: 5e-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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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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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| No log | 1.0 | 450 | 0.4571 | 0.8367 | 0.7623 | |
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| 0.4531 | 2.0 | 900 | 0.4590 | 0.8367 | 0.7623 | |
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| 0.4643 | 3.0 | 1350 | 0.4480 | 0.8367 | 0.7623 | |
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| 0.4537 | 4.0 | 1800 | 0.4498 | 0.8367 | 0.7623 | |
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| 0.4508 | 5.0 | 2250 | 0.4466 | 0.8367 | 0.7623 | |
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| 0.4531 | 6.0 | 2700 | 0.4467 | 0.8367 | 0.7623 | |
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| 0.4553 | 7.0 | 3150 | 0.4498 | 0.8367 | 0.7623 | |
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| 0.4388 | 8.0 | 3600 | 0.4473 | 0.8367 | 0.7623 | |
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| 0.3981 | 9.0 | 4050 | 0.3563 | 0.8722 | 0.8472 | |
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| 0.2981 | 10.0 | 4500 | 0.4327 | 0.8533 | 0.8517 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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