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--- |
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license: apache-2.0 |
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base_model: distilbert-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: qa_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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# qa_model |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2864 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 403 | 1.6619 | |
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| 2.4962 | 2.0 | 806 | 1.5064 | |
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| 1.3281 | 3.0 | 1209 | 1.5355 | |
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| 0.943 | 4.0 | 1612 | 1.6105 | |
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| 0.6258 | 5.0 | 2015 | 1.7803 | |
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| 0.6258 | 6.0 | 2418 | 1.8905 | |
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| 0.3992 | 7.0 | 2821 | 2.0605 | |
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| 0.2949 | 8.0 | 3224 | 2.2018 | |
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| 0.2103 | 9.0 | 3627 | 2.2359 | |
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| 0.1716 | 10.0 | 4030 | 2.2864 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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