electra_combined_top
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: 1.4985
- Accuracy: 0.7115
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 |
|---|---|---|---|---|
| 1.0557 | 1.0 | 624 | 1.0444 | 0.5032 |
| 1.0119 | 2.0 | 1248 | 0.9122 | 0.6154 |
| 0.827 | 3.0 | 1872 | 1.0536 | 0.6410 |
| 0.7281 | 4.0 | 2496 | 1.1990 | 0.6667 |
| 0.5995 | 5.0 | 3120 | 1.0404 | 0.6795 |
| 0.5339 | 6.0 | 3744 | 1.3688 | 0.6955 |
| 0.4599 | 7.0 | 4368 | 1.4182 | 0.7083 |
| 0.388 | 8.0 | 4992 | 1.4727 | 0.7147 |
| 0.3418 | 9.0 | 5616 | 1.5407 | 0.7051 |
| 0.2794 | 10.0 | 6240 | 1.4985 | 0.7115 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
mrm8488/electra-small-finetuned-squadv2