metadata
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bert-finetuned-uncased-squad_v2
results: []
bert-finetuned-uncased-squad_v2
This model was trained from scratch on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2041
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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2307 | 0.2 | 100 | 1.8959 |
| 1.9581 | 0.39 | 200 | 1.4856 |
| 1.6358 | 0.59 | 300 | 1.3948 |
| 1.4964 | 0.78 | 400 | 1.2934 |
| 1.4169 | 0.98 | 500 | 1.2605 |
| 1.327 | 1.18 | 600 | 1.2218 |
| 1.2763 | 1.37 | 700 | 1.2539 |
| 1.2755 | 1.57 | 800 | 1.2090 |
| 1.251 | 1.76 | 900 | 1.2041 |
| 1.229 | 1.96 | 1000 | 1.2159 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1