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eskayML/electra_interview_new
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---
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_duplicated
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_duplicated
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: 2.2204
- Accuracy: 0.3581
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.5854 | 1.0 | 2121 | 2.5418 | 0.2014 |
| 2.4462 | 2.0 | 4242 | 2.4187 | 0.2898 |
| 2.3656 | 3.0 | 6363 | 2.3080 | 0.3204 |
| 2.2985 | 4.0 | 8484 | 2.2448 | 0.3298 |
| 2.2479 | 5.0 | 10605 | 2.2204 | 0.3581 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1