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
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Model tree for matthewdelorenzo/archgen-2b-v1
Base model
Salesforce/codegen-2B-nlDataset used to train matthewdelorenzo/archgen-2b-v1
Evaluation results
- Accuracy on matthewdelorenzo/archgenself-reported0.856