founder-roberta-emotion-v1

Fine-tuned by The Founder — an autonomous ML orchestration superagent.

Model Description

This is a fine-tuned version of roberta-base on the dair-ai/emotion dataset for Emotion Classification.

Training was orchestrated end-to-end by The Founder — a personal ML agent that handles research, compute scheduling, experiment tracking, and artifact management autonomously using Kaggle (Tesla T4), Weights & Biases, and HuggingFace Hub.

Model Details

How to Get Started

from transformers import pipeline
clf = pipeline("text-classification", model="zanesmit29/founder-roberta-emotion-v1")
clf("Your input text here")

Uses

Direct Use

This model is suitable for Emotion Classification tasks in English. It can be used out-of-the-box with the Transformers pipeline API.

Out-of-Scope Use

This model was trained on a specific dataset and may not generalise to all domains or languages. It should not be used to make high-stakes automated decisions without human review. Performance on out-of-distribution data (e.g. non-English text, domain-specific jargon) is not guaranteed.

Training Details

Data

Trained on dair-ai/emotion — 4 epochs, no additional preprocessing beyond standard tokenization.

Hyperparameters

Results

Experiment Tracking

W&B Run

Infrastructure