Comments (2)
We are working on a tutorial how to fine-tune the models and will update the documentation, once completed.
Conceptually, you will have to
(1) pre-process the data (https://github.com/salesforce/jaxformer/tree/main/preprocess)
(2) fine-tune the model on either TPU or GPU (https://github.com/salesforce/jaxformer#fine-tuning)
In general, it will be difficult to fine-tune these models without any hardware. You may want to consider Google Colab notebooks.
We can not provide more guidance at this point in time.
Apologies for the unsatisfactory answer.
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We are working on a tutorial how to fine-tune the models and will update the documentation, once completed.
Conceptually, you will have to (1) pre-process the data (https://github.com/salesforce/jaxformer/tree/main/preprocess) (2) fine-tune the model on either TPU or GPU (https://github.com/salesforce/jaxformer#fine-tuning)
In general, it will be difficult to fine-tune these models without any hardware. You may want to consider Google Colab notebooks.
We can not provide more guidance at this point in time.
Apologies for the unsatisfactory answer.
I do have hardware, just no nvidia GPU. And I heard that that was the type of GPU that would be required for something like this.
Please notify me once the tutorial is completed.
from codegen.
Related Issues (20)
- What is the hardware requirement for fine tuning codegen 2B and higher models?
- memory out of error. Hardware requirements HOT 1
- A question about the detail of data preprocessing
- Limit of code generation HOT 1
- instruct dataset
- Using LoRA with CodeGen 2B mono HOT 2
- How to use infills sampling?
- What is min loss in CodeGen1B while finetuning.
- Clarity on training data for each of the codegen versions
- How to use gpu to accelerate inference? HOT 1
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- fine tunning : data format
- AttributeError: 'CodeGen25Tokenizer' object has no attribute 'encoder' HOT 2
- What is the context window for Codegen2? HOT 1
- Defect detection
- Error calling tokenizer.get_vocab() (Codegen2.5) HOT 1
- Atrribute Error: 'AlignConfig' object has no attribute 'encoder', 'PoolFormerConfig' object has no attribute 'encoder'. HOT 1
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