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--- |
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license: apache-2.0 |
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base_model: distilbert/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: my_awesome_qa_model |
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results: [] |
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--- |
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This is real link of this model: |
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https://huggingface.co/docs/transformers/tasks/question_answering |
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I wrote it to understand the basic logic. |
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# my_awesome_qa_model |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6236 |
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## Model description |
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This model was written using the Hugging Face question_answering site. |
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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: 3 |
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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 | 2.1966 | |
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| 2.6617 | 2.0 | 500 | 1.6980 | |
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| 2.6617 | 3.0 | 750 | 1.6236 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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