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### Objectives
Train fine-tuned versions of gLM2:
- [x] Version 0 (v0): Initial fine-tuning and qualitative eval (completed).
- [x] Version 1 (v1): Fine-tuning with augmented training data accoun…
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### Describe the bug
In PyKEEN, when "create_inverse_triples" is set to false for ConvE, the evaluation becomes extremely slow.
![image](https://github.com/user-attachments/assets/bc6b96f1-f7bb-42…
g-yit updated
5 hours ago
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Hi, I've finished training the whole scene with my own dataset but I don't get any metrics after the training, and not any evaluation scripts I can use. Besides, I had a small question about your octr…
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I create a subclass of baseragassembeddings. because I already have all the embeddings for context, query, and question. I did this to not use the openai API key. because it is costly and also I want …
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I wrote this code and I am using a subclass of LLM and BASERAGASEMBEDDINGS. I already have the embeddings and I face the error to set the API key.to solve that since I have all the requirements I cre…
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I have two question for fine-tuning implementation.
1. At VISTA_Evaluation_FineTuning/downstream_finetune_example/,
when I run the code run_ds_cirr.py and load eva_clip weight from this part
`
s…
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Both the evaluation and testset generation are computationally and monetarily expensive.
It is very painful to experience a crash after several expensive hours of evaluation or generation, only to …
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[ ] I checked the [documentation](https://docs.ragas.io/) and related resources and couldn't find an answer to my question.
**Your Question**
How to integrate Gemini models with RAGAS without faci…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain.js documentation with the integrated search.
- [X] I used the GitHub search to find a …
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[ ] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug.
I was using the old version of Ragas to generate the evaluation data but it is not …