README.md

metadata

license: bsd-3-clause
base_model: Salesforce/codegen-2B-nl
tags:
  - generated_from_trainer
datasets:
  - matthewdelorenzo/archgen
metrics:
  - accuracy
model-index:
  - name: output_llm
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: matthewdelorenzo/archgen
          type: matthewdelorenzo/archgen
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8559900076029108

output_llm

This model is a fine-tuned version of Salesforce/codegen-2B-nl on the matthewdelorenzo/archgen dataset. It achieves the following results on the evaluation set:

• Loss: 0.6558
• Accuracy: 0.8560

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.3.0
• Datasets 2.19.1
• Tokenizers 0.19.1