---
license: apache-2.0
base_model: google/electra-base-discriminator
tags:
- generated_from_trainer
model-index:
- name: imdb_42
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# imdb_42

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: 0.0027
- eval_accuracy: 0.9995
- eval_runtime: 40.0833
- eval_samples_per_second: 623.7
- eval_steps_per_second: 2.445
- step: 0

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2