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---
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
|