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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: paraphraser-german-mt5-small |
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results: [] |
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datasets: |
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- paws-x |
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- tapaco |
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language: |
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- de |
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metrics: |
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- perplexity |
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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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# paraphraser-german-mt5-small |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the paws-x (de) and tapaco (de) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7678 |
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- Perplexity: 5.86 |
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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: 2e-05 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 3.7064 | 0.05 | 2000 | 2.0731 | |
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| 2.8673 | 0.11 | 4000 | 2.0420 | |
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| 2.6133 | 0.16 | 6000 | 2.0080 | |
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| 2.4563 | 0.21 | 8000 | 1.9556 | |
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| 2.385 | 0.27 | 10000 | 1.9090 | |
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| 2.3122 | 0.32 | 12000 | 1.9127 | |
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| 2.2775 | 0.38 | 14000 | 1.8658 | |
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| 2.2323 | 0.43 | 16000 | 1.8407 | |
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| 2.17 | 0.48 | 18000 | 1.8342 | |
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| 2.1672 | 0.54 | 20000 | 1.8328 | |
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| 2.1488 | 0.59 | 22000 | 1.8071 | |
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| 2.1026 | 0.64 | 24000 | 1.8328 | |
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| 2.1036 | 0.7 | 26000 | 1.7979 | |
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| 2.0854 | 0.75 | 28000 | 1.7895 | |
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| 2.0594 | 0.81 | 30000 | 1.7944 | |
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| 2.0793 | 0.86 | 32000 | 1.7726 | |
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| 2.0661 | 0.91 | 34000 | 1.7762 | |
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| 2.0722 | 0.97 | 36000 | 1.7714 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
