---
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
model-index:
- name: cropwiz_qa_model_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cropwiz_qa_model_2

This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.6542
- eval_runtime: 24.211
- eval_samples_per_second: 41.304
- eval_steps_per_second: 6.898
- epoch: 2.0
- step: 1334

## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1