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---
base_model: ml6team/gpt2-small-german-finetune-oscar
tags:
- generated_from_trainer
model-index:
- name: ml6team-gpt2-small-german-finetune-oscar-1file
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. -->
# ml6team-gpt2-small-german-finetune-oscar-1file
This model is a fine-tuned version of [ml6team/gpt2-small-german-finetune-oscar](https://huggingface.co/ml6team/gpt2-small-german-finetune-oscar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5331
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4429 | 1.0 | 257 | 3.5679 |
| 3.3122 | 2.0 | 514 | 3.5112 |
| 3.3409 | 3.0 | 771 | 3.5015 |
| 3.0541 | 4.0 | 1028 | 3.5065 |
| 2.9332 | 5.0 | 1285 | 3.5201 |
| 2.4331 | 6.0 | 1542 | 3.5331 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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