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Hello,
I'm working on a recommandation system for music events. These items have a hard expiry date (no longer relevant to recommend an event to users after it has passed) so my training set is ful…
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ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (32,) + inhomogeneous part.
`from typing import Any, …
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Hi Chronos team--
Howdy!! I'm a PhD student in the States and I'm using this as a baseline for my research... thanks for building this model :)
I'm currently implementing evaluation metrics like…
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Hi, it's nice to come across a cross-library/model benchmark like this!
When looking at evaluations for structured output libraries, I feel like "valid response" is such a low bar when used on its …
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## 🚀 Request
Retrieval metrics should be more aligned with typical practices. Recommendation is below.
### Explanation
The current best practice for calculating retrieval metrics follows thi…
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DICE的实现中为什么interest建模是在O1(i的流行度大于j的流行度)上进行的,原论文在O2上进行(i的流行度小于j的流行度)
```python
user_embedding = self.embed_user[user_O1, 0:DICE_size]
item_i_embedding = self.embed_item[item_i_O1, 0:DICE_size]
item…
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I am getting too many of the user's already-liked items in the recommendations. One or two (of ten) would be reasonable but I am getting up to all ten being from the user's already liked items. I hav…
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Hi!
I tried to use llama2-7b 4bit model, got this error
`RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn`
Code:
```
from unsloth import FastLanguageMod…
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### ❔ Any questions
torchattacks.FGSM(model, eps=0) seems to perturb my data, even though eps = 0.
When testing my original data, I get an accuracy of 81.2%. Once I get predictions when performing…
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Right now the pipeline involves everything from getting the data from dropbox to outputting performance metrics of the trained model.
The only thing missing from the original notebook is a file that …