---
library_name: transformers
base_model: smitmenon/e2m_endenoise_project
tags:
- generated_from_trainer
datasets:
- flores
model-index:
- name: e2m_denoise_finetuned
  results: []
---

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# e2m_denoise_finetuned

This model is a fine-tuned version of [smitmenon/e2m_endenoise_project](https://huggingface.co/smitmenon/e2m_endenoise_project) on the flores dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5925

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.609         | 1.0   | 125  | 0.5857          |
| 0.4397        | 2.0   | 250  | 0.5925          |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0