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Testys/training_space_304268a6_2e7f_4d73_9cb6_e538064f8e80

sourceHugging Faceupdated 1y agoView on Hugging Face
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# 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

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