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README.md
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model-index:
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- name: distilbert-base-german-cased-finetuned-amazon-reviews
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results: []
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datasets:
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- amazon_reviews_multi
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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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# distilbert-base-german-cased-finetuned-amazon-reviews
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This model is a fine-tuned version of [distilbert-base-german-cased](https://huggingface.co/distilbert-base-german-cased) on
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It achieves the following results on the evaluation set:
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- Loss: 3.8874
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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Evaluation: I used perplexity to evaluate the performance of my model:
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- Perplexity: 64.91
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The result is quite high, but the performance is quite good.
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## Training procedure
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### Framework versions
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- Transformers 4.
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- Pytorch 1.13.1+cu116
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- Tokenizers 0.13.2
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model-index:
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- name: distilbert-base-german-cased-finetuned-amazon-reviews
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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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# distilbert-base-german-cased-finetuned-amazon-reviews
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This model is a fine-tuned version of [distilbert-base-german-cased](https://huggingface.co/distilbert-base-german-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8874
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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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### Framework versions
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- Transformers 4.27.0
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- Pytorch 1.13.1+cu116
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- Tokenizers 0.13.2
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