File size: 1,455 Bytes
9b5f9ac a92997c 9b5f9ac |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
---
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 |