metadata
library_name: transformers
license: apache-2.0
base_model: mrm8488/electra-small-finetuned-squadv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra_combined_top_2
results: []
electra_combined_top_2
This model is a fine-tuned version of mrm8488/electra-small-finetuned-squadv2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2641
- Accuracy: 0.9583
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0454 | 1.0 | 780 | 0.8898 | 0.625 |
| 0.8348 | 2.0 | 1560 | 0.6872 | 0.7147 |
| 0.7606 | 3.0 | 2340 | 0.7110 | 0.7628 |
| 0.6726 | 4.0 | 3120 | 0.4644 | 0.8910 |
| 0.5222 | 5.0 | 3900 | 0.5211 | 0.8910 |
| 0.4424 | 6.0 | 4680 | 0.3023 | 0.9423 |
| 0.4497 | 7.0 | 5460 | 0.2728 | 0.9583 |
| 0.3085 | 8.0 | 6240 | 0.2765 | 0.9583 |
| 0.241 | 9.0 | 7020 | 0.2763 | 0.9583 |
| 0.236 | 10.0 | 7800 | 0.2641 | 0.9583 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0