gpt2-small-german-finetune-oscar-finetuned
This model is a fine-tuned version of ml6team/gpt2-small-german-finetune-oscar on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.8729
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: 1e-05
- 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 |
|---|---|---|---|
| 0.7388 | 1.0 | 210 | 5.7127 |
| 0.6451 | 2.0 | 420 | 5.7653 |
| 0.3591 | 3.0 | 630 | 5.8154 |
| 0.3574 | 4.0 | 840 | 5.8520 |
| 0.6094 | 5.0 | 1050 | 5.8755 |
| 1.5115 | 6.0 | 1260 | 5.8729 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Base model
ml6team/gpt2-small-german-finetune-oscar