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I want to evaluate your results on NoW Challenge. But i meet some problem about getting the 7 3d landmarks which are simply abtained by using index of 68 landmarks from 3d vertex. I don't if it‘s pro…
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Hi,
Is it possible to add the evaluation code for Neuron Segmentation tutorial, and also to provide the pre-trained weights for the U-Net for Neuron segmentation please?
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## 🐛 Bug
My model returns nan values while evaluating. If I run a specific code the model goes crazy and returns some part of the output NaN. It sometimes fixes itself after feeding some input imag…
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TL;DR: With the correct hyperparameters, a single-task model shows the same quality as the multi-task model, contradicting [Graphium doc claims](https://graphium-docs.datamol.io/stable/baseline.html).…
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### Describe the bug
when i had to reproduce the logs as mentioned in the [Benchmarking](https://princeton-nlp.github.io/SWE-agent/usage/benchmarking/) , the swe-agent created a patch but when eva…
Hk669 updated
3 months ago
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Thank you for the released codes and models; they have significantly helped my research! However, I have encountered some confusion during the evaluation.
Most previous approaches have adopted PNG …
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Hello! I would like to ask how to model check the evaluation metrics of the test dataset. I tried to run the test dataset with eval.py, but got errors. Can you give the specific configuration method? …
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这是我修改的微调config脚本文件:
# Copyright (c) OpenMMLab. All rights reserved.
import torch
from datasets import load_dataset
from mmengine.dataset import DefaultSampler
from mmengine.hooks import (Checkpoi…
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script.py:
```
from mteb import MTEB
from C_MTEB import *
from sentence_transformers import SentenceTransformer
# Define the sentence-transformers model name
model_name = "../../bge-large…
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Add support to multimodal models as discussed with @haileyschoelkopf
- This PR #1832 would be a great starting point.
- List all tasks we want to support for the first iteration.