|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# electra_interview_new |
|
|
|
This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/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 |
|
|
