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Efficient few-shot learning with Sentence Transformers

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I trained a SetFitModel with a custom Pytorch head which is more complex than the inbuild and gives far superior results and I followed the instructions for building it from...

Hi, I'm following the [quick start guide](https://huggingface.co/docs/setfit/quickstart). And I add the `logging_steps` and `eval_steps` as the TrainingArguments. However, the `Training Loss` and `Validation Loss` are not logged. Details ``` from...

Hello, I just learn about SetFit and now I want to use it for my ABSA usecase. I have 50.000 row of datasets which the maximum token per row is...

Now that sentence transformers support multiple gpus, i was wondering if setfit supports it also? does Anyone has any idea about setting the number of GPUs in the setfittrainer

Edit: I just saw there are other issues related to this: #535, #528, #512 and a PR #538 When running training as in the example in the README, I get...

Hello gents, I was hoping I can get a second opinion about a situation I am facing while using setfit for a multi class classification use case. The dataset is...

Hi, I trained a model with SetFitTrainer and afterwards started a hyperparameter optimization with the same parameters for testing reasons. The expected behaviour would be both of them having the...

The number of data labels is 4. the eval loss increase and the train loss decrease. I think it is overfit. Code is as below: # code ```from datasets import...