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_interview_new
results: []
electra_interview_new
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: 1.4404
- Accuracy: 0.5658
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: 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 | Accuracy |
|---|---|---|---|---|
| 2.7407 | 1.0 | 759 | 2.4745 | 0.2270 |
| 2.4522 | 2.0 | 1518 | 2.4164 | 0.2270 |
| 2.4115 | 3.0 | 2277 | 2.3080 | 0.25 |
| 2.2666 | 4.0 | 3036 | 2.1030 | 0.3947 |
| 2.1421 | 5.0 | 3795 | 1.9180 | 0.4342 |
| 1.9628 | 6.0 | 4554 | 1.7503 | 0.4836 |
| 1.8452 | 7.0 | 5313 | 1.5931 | 0.5164 |
| 1.7014 | 8.0 | 6072 | 1.5194 | 0.5691 |
| 1.6226 | 9.0 | 6831 | 1.4557 | 0.5592 |
| 1.5557 | 10.0 | 7590 | 1.4404 | 0.5658 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1