matscibert-QA
This is a just a soft demo and it aint working as intended yet This model is a fine-tuned version of m3rg-iitd/matscibert on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.1091
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1571 | 1.0 | 5564 | 1.1091 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cpu
- Datasets 2.14.5
- Tokenizers 0.14.1
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Inference Providers
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the model is not deployed on the HF Inference API.
Model tree for vrx2/matscibert-QA
Base model
m3rg-iitd/matscibert