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--- |
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base_model: ml6team/mt5-small-german-finetune-mlsum |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [ml6team/mt5-small-german-finetune-mlsum](https://huggingface.co/ml6team/mt5-small-german-finetune-mlsum) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 4.0068 | 1.0 | 23 | 4.0449 | |
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| 3.2083 | 2.0 | 46 | 4.0446 | |
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| 2.9676 | 3.0 | 69 | 4.0434 | |
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| 4.0256 | 4.0 | 92 | 4.0409 | |
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| 3.9972 | 5.0 | 115 | 4.0401 | |
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| 3.12 | 6.0 | 138 | 4.0395 | |
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| 3.1067 | 7.0 | 161 | 4.0388 | |
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| 3.1965 | 8.0 | 184 | 4.0384 | |
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| 3.3512 | 9.0 | 207 | nan | |
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| 0.0 | 10.0 | 230 | nan | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Tokenizers 0.19.1 |
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