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--- |
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license: mit |
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base_model: timpal0l/mdeberta-v3-base-squad2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: faq_model |
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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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# faq_model |
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This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1331 |
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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: 8 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 250 | 0.4844 | |
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| 0.4439 | 2.0 | 500 | 0.5077 | |
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| 0.4439 | 3.0 | 750 | 0.6605 | |
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| 0.1985 | 4.0 | 1000 | 0.8166 | |
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| 0.1985 | 5.0 | 1250 | 0.7628 | |
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| 0.1114 | 6.0 | 1500 | 0.9060 | |
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| 0.1114 | 7.0 | 1750 | 0.9887 | |
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| 0.0556 | 8.0 | 2000 | 1.0709 | |
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| 0.0556 | 9.0 | 2250 | 1.1016 | |
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| 0.0288 | 10.0 | 2500 | 1.1331 | |
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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 2.19.0 |
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- Tokenizers 0.15.2 |
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