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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- QNLI |
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- generated_from_trainer |
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base_model: google-bert/bert-base-uncased |
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metrics: |
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- accuracy |
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model-index: |
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- name: check |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thaisonatk/Fine-tune/runs/sibqe48b) |
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# check |
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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: 0.3991 |
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- Accuracy: 0.8258 |
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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: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.6863 | 1.0 | 613 | 0.6746 | 0.6165 | |
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| 0.5276 | 2.0 | 1226 | 0.4910 | 0.7723 | |
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| 0.4828 | 3.0 | 1839 | 0.4693 | 0.7847 | |
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| 0.4682 | 4.0 | 2452 | 0.4413 | 0.8038 | |
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| 0.4692 | 5.0 | 3065 | 0.4330 | 0.8071 | |
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| 0.4387 | 6.0 | 3678 | 0.4344 | 0.8055 | |
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| 0.428 | 7.0 | 4291 | 0.4109 | 0.8191 | |
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| 0.4266 | 8.0 | 4904 | 0.4069 | 0.8208 | |
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| 0.4191 | 9.0 | 5517 | 0.4031 | 0.8233 | |
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| 0.434 | 10.0 | 6130 | 0.3991 | 0.8258 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
