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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: my_qa_model_1
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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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# my_qa_model_1
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5234
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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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 | 0.96 | 3 | 5.3360 |
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| No log | 1.96 | 6 | 4.6262 |
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| No log | 2.96 | 9 | 3.9189 |
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| No log | 3.96 | 12 | 3.2527 |
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| No log | 4.96 | 15 | 2.6568 |
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| No log | 5.96 | 18 | 2.2066 |
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| No log | 6.96 | 21 | 1.8996 |
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| No log | 7.96 | 24 | 1.6962 |
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| No log | 8.96 | 27 | 1.5727 |
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| No log | 9.96 | 30 | 1.5234 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.13.0
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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