---
license: apache-2.0
base_model: google/electra-base-generator
tags:
- generated_from_trainer
model-index:
- name: electra-base-generator-large-peft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# electra-base-generator-large-peft

This model is a fine-tuned version of [google/electra-base-generator](https://huggingface.co/google/electra-base-generator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0406

## 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: 0.005
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0677        | 1.0   | 565  | 0.0436          |
| 0.064         | 2.0   | 1130 | 0.0415          |
| 0.048         | 3.0   | 1695 | 0.0418          |
| 0.0441        | 4.0   | 2260 | 0.0410          |
| 0.0437        | 5.0   | 2825 | 0.0406          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1