BERT_Mod_7_Squad
This model is a fine-tuned version of bert-base-uncased on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0928
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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.189 | 1.0 | 4089 | 1.2196 |
| 1.0312 | 2.0 | 8178 | 1.0691 |
| 0.8954 | 3.0 | 12267 | 1.0928 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1
- Datasets 1.17.0
- Tokenizers 0.12.1
- Downloads last month
- 28
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.