---
library_name: transformers
license: mit
base_model: timpal0l/mdeberta-v3-base-squad2
tags:
- generated_from_trainer
model-index:
- name: qa_en_ms_model_v4
  results: []
datasets:
- yumiian/qa_en_ms_v1
language:
- en
- ms
---

# qa_en_ms_model_v4

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).
It achieves the following results on the evaluation set:
- Loss: 0.7732

## Intended uses & limitations

This should only be used for question answering task. The model needs context to be able to answer user's question.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8094        | 1.0   | 3139 | 0.7540          |
| 0.6089        | 2.0   | 6278 | 0.6963          |
| 0.5022        | 3.0   | 9417 | 0.7732          |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1