metadata
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.