Comments (1)
Thank you for spotting this! I solved it.
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Related Issues (20)
- RuntimeError in Model Training on Predibase with Ludwig: Data Type Mismatch HOT 5
- Ray parallelization does not work HOT 1
- Ludwig New Version Issues of Repeating output HOT 7
- Unable to create visualizations using Python API HOT 5
- upload_to_hf_hub model path mismatch with model.save HOT 16
- [Errno 36] File name too long exception when running predict HOT 2
- Inappropriate saving of the merged fine tuned llama-2 model HOT 4
- Retrain previously fine tuned adapter HOT 4
- Remove default target modules for Gemma once it's updated in PEFT
- Re-Enable AdaptionPrompt when HuggingFace releases the PEFT fix.
- Unable to fine-tune when not using quantization HOT 2
- batch_size > 1 results in NaN loss value HOT 11
- You are calling `save_pretrained` to a 4-bit converted model, but your `bitsandbytes` version doesn't support it. HOT 2
- Temporarily disable expensive text metrics
- Dependency issue HOT 8
- Add Ludwig config json to output directory containing model weights HOT 3
- Improve docker build times for `ludwig-ray` and `ludwig-ray-gpu`
- Ray - protobuf issue HOT 5
- Support for Models stored in GCS bucket HOT 1
- GPU is not available
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