manny-uncharted/training_space_c6e9c226_c65e_476e_abca_07fbf55313dc

# Training Space for MLOps Job c6e9c226-c65e-476e-abca-07fbf55313dc

This Space is automatically generated to run a LoRA (Low-Rank Adaptation) fine-tuning job. It utilizes a Docker environment to execute the train_text_lora.py script using parameters defined by the MLOps job configuration.

## Job Overview

• —Job ID: c6e9c226-c65e-476e-abca-07fbf55313dc
• —Job Name: pythia-70m-deduped Fine-tune (HUGGING_FACE)
• —Model Type: CAUSAL_LM
• —Base Model (for fine-tuning): eleuther-pythia-70m
• —Dataset (on Hugging Face Hub): manny-uncharted/dataset_for_job_c6e9c226_c65e_476e_abca_07fbf55313dc

## Execution Details The core training logic is encapsulated in train_text_lora.py, which is orchestrated by train_script_wrapper.py within this Space. Hyperparameters and script configurations are passed dynamically to the training script.

## Outputs Outputs from the training process, such as the LoRA adapter and training metrics, will be pushed to the following Hugging Face Hub model repository upon successful completion: Target repository to be configured

## Monitoring Check the Logs tab of this Space for real-time training progress, standard output, and any error messages from the execution script.