transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:ml6team/gpt2-small-german-finetune-oscar autotrain_compatible endpoints_compatible text-generation-inference region:us
---
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
