distilgpt2-validator-quick-v1

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

Model Details

• Model Name: distilgpt2-validator-quick-v1
• Challenge Score: 0.0580
• Training Dataset: Babelfish/Puzzle_Codebreaking_Association
• Base Model: distilgpt2
• Parameters: 82M

Training Configuration

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Deployment

This model is deployed on:

• 🤗 HuggingFace Hub: sasn59/distilgpt2-validator-quick-v1
• ⛓️ Chutes Network: Active

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("sasn59/distilgpt2-validator-quick-v1")
model = AutoModelForCausalLM.from_pretrained("sasn59/distilgpt2-validator-quick-v1")

# 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

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