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--- |
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library_name: peft |
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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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- base_model:adapter:bert-base-uncased |
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- lora |
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- transformers |
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model-index: |
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- name: bert-from-single-text-file |
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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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# bert-from-single-text-file |
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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: 0.0 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.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: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.0 | 0.0393 | 200 | 0.0 | |
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| 0.0 | 0.0786 | 400 | 0.0 | |
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| 0.0 | 0.1179 | 600 | 0.0 | |
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| 0.0 | 0.1573 | 800 | 0.0 | |
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| 0.0 | 0.1966 | 1000 | 0.0 | |
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| 0.0 | 0.2359 | 1200 | 0.0 | |
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| 0.0 | 0.2752 | 1400 | 0.0 | |
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| 0.0 | 0.3145 | 1600 | 0.0 | |
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| 0.0 | 0.3538 | 1800 | 0.0 | |
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| 0.0 | 0.3932 | 2000 | 0.0 | |
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| 0.0 | 0.4325 | 2200 | 0.0 | |
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| 0.0 | 0.4718 | 2400 | 0.0 | |
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| 0.0 | 0.5111 | 2600 | 0.0 | |
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| 0.0 | 0.5504 | 2800 | 0.0 | |
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| 0.0 | 0.5897 | 3000 | 0.0 | |
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| 0.0 | 0.6291 | 3200 | 0.0 | |
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| 0.0 | 0.6684 | 3400 | 0.0 | |
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| 0.0 | 0.7077 | 3600 | 0.0 | |
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| 0.0 | 0.7470 | 3800 | 0.0 | |
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| 0.0 | 0.7863 | 4000 | 0.0 | |
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| 0.0 | 0.8256 | 4200 | 0.0 | |
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| 0.0 | 0.8649 | 4400 | 0.0 | |
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| 0.0 | 0.9043 | 4600 | 0.0 | |
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| 0.0 | 0.9436 | 4800 | 0.0 | |
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| 0.0 | 0.9829 | 5000 | 0.0 | |
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### Framework versions |
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- PEFT 0.17.0 |
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- Transformers 4.55.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
