---
library_name: transformers
license: apache-2.0
base_model: hyt1912/electra-small-discriminator-finetuned-squad
tags:
- generated_from_trainer
model-index:
- name: electra-small-discriminator-finetuned-squad-finetuned-post-squad-combined
  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-small-discriminator-finetuned-squad-finetuned-post-squad-combined

This model is a fine-tuned version of [hyt1912/electra-small-discriminator-finetuned-squad](https://huggingface.co./hyt1912/electra-small-discriminator-finetuned-squad) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4170

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7305        | 1.0   | 2595 | 0.5169          |
| 0.6389        | 2.0   | 5190 | 0.4406          |
| 0.6029        | 3.0   | 7785 | 0.4170          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.0
- Datasets 3.1.0
- Tokenizers 0.20.3