Comments (3)
dptam
commented on July 30, 2024
Hi
Yea, we forgot to include the split_option_flag in the Config. Commit e115a18 should fix that. Let me know if there are any more issues.
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hunterlang
commented on July 30, 2024
That works, thanks.
On the subject of small fixes, I had to remove the trailing slash from the origin_model in:
https://github.com/r-three/t-few/blob/master/configs/t03b.json
to get .from_pretrained() to not complain.
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HaokunLiu
commented on July 30, 2024
Well, you caught us. When we run it on our cluster, we saved the T0(3B) model to a local path. I guess that a trace of it after we changed it back to the HF-downloadable model names.
Thanks for figuring it out and sharing it with us.
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Related Issues (20)
- Where are performance results of experiments stored HOT 2
- To which epoch/training step does the finish.pt checkpoint belong to? HOT 3
- KeyError: 'HF_HOME' HOT 4
- Can't run 11 billion model on A100 with 80GB HOT 5
- AttributeError: Can't pickle local object 'create_collate_fn.<locals>.collate_fn' HOT 2
- What is the meaning of score_gt and score_cand? HOT 6
- Accuracy could not match with the log when load_model HOT 10
- Validation score on WSC decreases with training HOT 3
- Sum of logprobs in the probability space adds up to values above 1 HOT 2
- What does the multi_lora_a and multi_lora_b mean in the code? HOT 3
- AttributeError: 'DistributedDataParallel' object has no attribute 'save_checkpoint' HOT 1
- save dev_pred.txt and test_pred.txt for RTE and ANLI HOT 2
- How is l_ff created? HOT 1
- How long it will take for pretraining the model using A100(80G)? HOT 2
- Where are the loss function changes in the codebase? HOT 1
- IA3 implementation doesn't add parameters for feedforward layers HOT 5
- questions from your paper HOT 1
- Releasing pretrained models HOT 1
- Does pl_train.py support TPU training? HOT 1
- Multi-GPU Support HOT 8
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