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--- |
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license: cc-by-nc-nd-4.0 |
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base_model: google-bert/bert-large-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-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5713 |
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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: 16 |
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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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| 0.9089 | 0.4 | 7373 | 0.8463 | |
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| 0.6975 | 0.8 | 14746 | 0.6603 | |
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| 0.5207 | 1.2 | 22119 | 0.6005 | |
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| 0.4985 | 1.6 | 29492 | 0.5558 | |
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| 0.4572 | 2.0 | 36865 | 0.5206 | |
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| 0.3228 | 2.4 | 44238 | 0.5485 | |
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| 0.305 | 2.8 | 51611 | 0.5243 | |
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| 0.2171 | 3.2 | 58984 | 0.5674 | |
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| 0.2057 | 3.6 | 66357 | 0.5713 | |
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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 |
