faq_model
This model is a fine-tuned version of timpal0l/mdeberta-v3-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1331
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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 | 250 | 0.4844 |
| 0.4439 | 2.0 | 500 | 0.5077 |
| 0.4439 | 3.0 | 750 | 0.6605 |
| 0.1985 | 4.0 | 1000 | 0.8166 |
| 0.1985 | 5.0 | 1250 | 0.7628 |
| 0.1114 | 6.0 | 1500 | 0.9060 |
| 0.1114 | 7.0 | 1750 | 0.9887 |
| 0.0556 | 8.0 | 2000 | 1.0709 |
| 0.0556 | 9.0 | 2250 | 1.1016 |
| 0.0288 | 10.0 | 2500 | 1.1331 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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Model tree for Doter/faq_model
Base model
microsoft/mdeberta-v3-base
Finetuned
timpal0l/mdeberta-v3-base-squad2