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Hi, Thanks for your great work. It is possible for your guys to release the hyper-parameters for the image paragraph captioning task? I notice that it has been missing for a long time.
Thanks!
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* Orion version: v0.1.5
* Python version: 3.7
* Operating System:
### Description
In the tutorial notebook, it is recommended that "For experimentation purposes, you can reduce the number of `…
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Thank you for your excellent work. If I want to use this data for pretraining and conduct a rigorous comparison with the DCLM-BASELINE 7B model mentioned here, what hyper-parameters should I use? Coul…
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Thanks for sharing your code. I use your code to train on UCF101 with the suggested hyper-parameters (i.e., lr=0.001, trans_linear_out_dim=1152, img_size=224, tasks_per_batch =16, num_test_tasks=1000…
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### Issue Type
Documentation Bug
### Source
source
### Keras Version
2.14
### Custom Code
Yes
### OS Platform and Distribution
Ubuntu 22.04
### Python version
3.10
…
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I can't get the model converge on every learner , either imagenet or cifar10。Any suggestion about the hyper-parameters?Thanks
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Hello, Litao
Thanks for your amazing work. Recently, I read your paper and supplementary files in detail, and trying to reproduce your method for further usage. Could I ask for some hyper-parameter…
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Hi, I am trying to train a new model with this architecture.
Few changes done from my side .. very minor as follows -
```
"max_len" : 64,
"emb_dim" : 96,
```
And I added `mathnormal` and `mat…
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Thanks for this nice work!
I'm wondering if we could get the **hyper-parameter settings** for other datasets (e.g. Beauty, Steam), and if there are some suggestions for **hyper-parameters tuning**…
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Hi,
I am trying to restore your fine-tuning results on ViT-L-32 Imagenet (and larger model later)
I notice you publish two tensorboard.dev runs reaching ~81.7 and ~82 accuracies.
(final train los…