deutsche-telekom
/

gbert-large-paraphrase-cosine

Sentence Similarity

sentence-transformers

feature-extraction

text-embeddings-inference

Inference Endpoints

Model card Files Files and versions Community

PhilipMay commited on Nov 10, 2023

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@@ -43,7 +43,7 @@ We deleted the following pairs of sentences:
 - learning_rate: 8.345726930229726e-06
 - num_epochs: 7
 - train_batch_size: 57
-- num_gpu: ???
 ## Evaluation Results
 We use the [NLU Few-shot Benchmark - English and German](https://huggingface.co/datasets/deutsche-telekom/NLU-few-shot-benchmark-en-de)

 - learning_rate: 8.345726930229726e-06
 - num_epochs: 7
 - train_batch_size: 57
+- num_gpu: 1
 ## Evaluation Results
 We use the [NLU Few-shot Benchmark - English and German](https://huggingface.co/datasets/deutsche-telekom/NLU-few-shot-benchmark-en-de)