metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: fewshot-qa-001-20230614-001
results: []
fewshot-qa-001-20230614-001
This model is a fine-tuned version of intanm/mbert-squadv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.8876
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 | 208 | 2.8002 |
| No log | 2.0 | 416 | 2.8132 |
| 2.5875 | 3.0 | 624 | 3.1406 |
| 2.5875 | 4.0 | 832 | 3.4779 |
| 1.1736 | 5.0 | 1040 | 3.8496 |
| 1.1736 | 6.0 | 1248 | 4.1895 |
| 1.1736 | 7.0 | 1456 | 4.4204 |
| 0.531 | 8.0 | 1664 | 4.7848 |
| 0.531 | 9.0 | 1872 | 4.8564 |
| 0.2596 | 10.0 | 2080 | 4.8876 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3