---
title: "Training Space for Job 304268a6-2e7f-4d73-9cb6-e538064f8e80"
emoji: "🚀"
colorFrom: "blue"
colorTo: "green"
sdk: "docker"
python_version: "3.10"
suggested_hardware: "t4-small"
app_file: "train_script_wrapper.py"
pinned: false
short_description: "pythia-70m-deduped HF-mb28snxb"
models:
  - "EleutherAI/pythia-70m-deduped"
datasets:
  - "Testys/dataset_for_job_304268a6_2e7f_4d73_9cb6_e538064f8e80"
tags:
  - "automated-training"
  - "causal-lm"
  - "fine-tuning"
  - "lora"
  - "mlops"
  - "text-generation"
preload_from_hub:
  - "EleutherAI/pythia-70m-deduped"
---

        # Training Space for MLOps Job `304268a6-2e7f-4d73-9cb6-e538064f8e80`

        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:** `304268a6-2e7f-4d73-9cb6-e538064f8e80`
        - **Job Name:** `pythia-70m-deduped HF-mb28snxb`
        - **Model Type:** `CAUSAL_LM`
        - **Base Model (for fine-tuning):** `EleutherAI/pythia-70m-deduped`
        - **Dataset (on Hugging Face Hub):** `Testys/dataset_for_job_304268a6_2e7f_4d73_9cb6_e538064f8e80`

        ## 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](https://huggingface.co/#)

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