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--- |
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license: cc-by-nc-nd-4.0 |
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base_model: google-bert/bert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: checkpoint |
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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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# checkpoint |
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6844 |
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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: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 0.942 | 0.4 | 14781 | 0.9276 | |
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| 0.7801 | 0.8 | 29562 | 0.7407 | |
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| 0.5825 | 1.2 | 44343 | 0.7030 | |
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| 0.5682 | 1.6 | 59124 | 0.6452 | |
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| 0.5286 | 2.0 | 73905 | 0.6214 | |
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| 0.387 | 2.4 | 88686 | 0.6819 | |
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| 0.3876 | 2.8 | 103467 | 0.6422 | |
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| 0.2882 | 3.2 | 118248 | 0.6901 | |
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| 0.271 | 3.6 | 133029 | 0.6844 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
