---
base_model: ml6team/mt5-small-german-finetune-mlsum
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [ml6team/mt5-small-german-finetune-mlsum](https://huggingface.co/ml6team/mt5-small-german-finetune-mlsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.0068        | 1.0   | 23   | 4.0449          |
| 3.2083        | 2.0   | 46   | 4.0446          |
| 2.9676        | 3.0   | 69   | 4.0434          |
| 4.0256        | 4.0   | 92   | 4.0409          |
| 3.9972        | 5.0   | 115  | 4.0401          |
| 3.12          | 6.0   | 138  | 4.0395          |
| 3.1067        | 7.0   | 161  | 4.0388          |
| 3.1965        | 8.0   | 184  | 4.0384          |
| 3.3512        | 9.0   | 207  | nan             |
| 0.0           | 10.0  | 230  | nan             |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1