sasn59/gpt2-validator-balanced-20251104-1118

gpt2-validator-balanced-20251104-1118

This model was trained using the Babelbit MLOps platform and deployed via the integrated deployment pipeline.

Model Details

• —Model Name: gpt2-validator-balanced-20251104-1118
• —Challenge Score: 0.0576
• —Training Dataset: Babelfish/PuzzleCodebreakingAssociation
• —Base Model: distilgpt2
• —Parameters: 82M

Training Configuration

{}

Deployment

This model is deployed on:

• —🤗 HuggingFace Hub: sasn59/gpt2-validator-balanced-20251104-1118
• —⛓️ Chutes Network: Active

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sasn59/gpt2-validator-balanced-20251104-1118")
model = AutoModelForCausalLM.from_pretrained("sasn59/gpt2-validator-balanced-20251104-1118")

# Generate text
inputs = tokenizer("Hello, I am", return_tensors="pt")
outputs = model.generate(**inputs, max_length=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Performance Metrics

• —Lexical Score: 0.0000
• —Semantic Score: 0.0000
• —Earliness Score: 0.0000

Generated by Babelbit MLOps Dashboard