metadata
license: cc-by-4.0
base_model: deepset/minilm-uncased-squad2
tags:
- generated_from_trainer
datasets:
- squad_kor_v1
model-index:
- name: qa_model
results: []
qa_model
This model is a fine-tuned version of deepset/minilm-uncased-squad2 on the squad_kor_v1 dataset. It achieves the following results on the evaluation set:
- Loss: 3.2803
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 25 | 3.8476 |
| No log | 2.0 | 50 | 3.3495 |
| No log | 3.0 | 75 | 3.2032 |
| No log | 4.0 | 100 | 3.3601 |
| No log | 5.0 | 125 | 3.2218 |
| No log | 6.0 | 150 | 3.3264 |
| No log | 7.0 | 175 | 3.3053 |
| No log | 8.0 | 200 | 3.2801 |
| No log | 9.0 | 225 | 3.4267 |
| No log | 10.0 | 250 | 3.2803 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3