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--- |
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library_name: transformers |
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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: qa_en_ms_model_v4 |
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results: [] |
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datasets: |
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- yumiian/qa_en_ms_v1 |
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language: |
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- en |
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- ms |
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--- |
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# qa_en_ms_model_v4 |
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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 self collected [dataset](https://huggingface.co/datasets/yumiian/qa_en_ms_v1). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7732 |
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## Intended uses & limitations |
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This should only be used for question answering task. The model needs context to be able to answer user's question. |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8094 | 1.0 | 3139 | 0.7540 | |
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| 0.6089 | 2.0 | 6278 | 0.6963 | |
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| 0.5022 | 3.0 | 9417 | 0.7732 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
