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Hi, I am trying to fine-tune Llama2-7B model using Vertex AI model
garden (Google collab). Please find the details below: Model used -
Llama2-7B Fine-tuning method - PEFT Number of samples in Training Set -
100 Number of samples in Eval Set - 20 Form...
Hi, I am trying to fine-tune foundation model (llama2-7B) through the
Vertex AI model garden fine-tuning. And I am using Collab to perform the
PEFT tuning. As per the given instruction in the notebook, I have
created a new service account with roles ...
Hello All, Hope you all are doing well. I have started exploring
fine-tuning foundation models using "Model garden Fine-tune". I am using
google collab provided in the fine-tuning section. This is one of the
step in the PEFT finetuning notebook. # Cl...
Hello, I am running few experiments in GCP Vertex AI using foundation
models (mainly Llama 2). I was able to successfully deploy the Llama 2
7B mode and test it. Now I am trying to fine-tune the Llama 2 foundation
model for a custom data. Has anybody...
Hi All, I am new to GCP Vertex AI, kindly excuse if the question is a
simple one. I have deployed the llama2-7b (llama2-7B-chat-001) model
through Model Garden using one-click deploy option. The model was
successfully deployed, and mapped to an endpo...
@nceniza Thanks for going through details and providing the inputs. [1]
Changing to data["train"] =
data["train"].shuffle().map(generate_and_tokenize_prompt, batched =
False)I am using the notebook from
[here](https://github.com/GoogleCloudPlatform/v...
@nceniza Thanks for your suggestions. Apparently along with Vertex AI
User and Storage Object Admin, we should also add Service Account User
as one of the role. However I do feel that this is a intermittent issue
as I still face the issues in rare ca...
