README.md

metadata

language:
  - en
  - es
license: apache-2.0
library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: Agente-Director-Qwen2-7B-Instruct_CODE_Python-GGUF_Spanish_English_8bit
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: glue
          type: glue
          config: mrpc
          split: validation
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.6078
          - name: F1
            type: f1
            value: 0.6981

Agente-Director-Qwen2-7B-Instruct_CODE_Python-GGUF_Spanish_English_8bit

• Developed by: Agnuxo
• License: apache-2.0
• Finetuned from model: Qwen/Qwen2-7B-Instruct

This model was fine-tuned using Unsloth and Huggingface's TRL library.

Model Details

• Model Parameters: 7070.63 million
• Model Size: 13.61 GB
• Quantization: 8-bit quantized
• Estimated GPU Memory Required: ~13 GB

Note: The actual memory usage may vary depending on the specific hardware and runtime environment.

Benchmark Results

This model has been fine-tuned and evaluated on the GLUE MRPC task:

• Accuracy: 0.6078
• F1 Score: 0.6981

For more details, visit my GitHub.

Thanks for your interest in this model!