metadata
base_model: ml6team/gpt2-small-german-finetune-oscar
tags:
- generated_from_trainer
model-index:
- name: gpt2-small-german-finetune-oscar-finetuned
results: []
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: 4.4805
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: 0.0005
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4964 | 1.0 | 210 | 4.2323 |
| 3.4962 | 2.0 | 420 | 4.2861 |
| 2.5871 | 3.0 | 630 | 4.4805 |
Framework versions
- Transformers 4.38.0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2