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gpt-oss-20b-relevance-beta1-20250810_184741 – AI Model by amos1088 | AlphaNeural AI

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amos1088/
gpt-oss-20b-relevance-beta1-20250810_184741

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document-relevance

custom-relevance-dataset

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gpt-oss-20b Document Relevance Classifier

This model was trained using DPO (Direct Preference Optimization) for document relevance classification.

Training Configuration

Base Model: openai/gpt-oss-20b
DPO Beta: 1.0
Learning Rate: 2e-05
Batch Size: 32
Epochs: 3
Training Samples: 1720
Validation Samples: 192

Performance Metrics

Accuracy: 65.10%
Yes Predictions: 15.6%
No Predictions: 84.4%

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

# Load base model
model = AutoModelForCausalLM.from_pretrained("openai/gpt-oss-20b")
tokenizer = AutoTokenizer.from_pretrained("openai/gpt-oss-20b")

# Load adapter
model = PeftModel.from_pretrained(model, "amos1088/gpt-oss-20b-relevance-beta1-20250810_184741")

Training Date

2025-08-10 18:47:41 UTC