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--- |
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base_model: ml6team/gpt2-small-german-finetune-oscar |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ml6team-gpt2-small-german-finetune-oscar-1file |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ml6team-gpt2-small-german-finetune-oscar-1file |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5331 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.4429 | 1.0 | 257 | 3.5679 | |
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| 3.3122 | 2.0 | 514 | 3.5112 | |
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| 3.3409 | 3.0 | 771 | 3.5015 | |
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| 3.0541 | 4.0 | 1028 | 3.5065 | |
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| 2.9332 | 5.0 | 1285 | 3.5201 | |
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| 2.4331 | 6.0 | 1542 | 3.5331 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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