jeanlucmarsh/opt-350m-pattern-based_finetuning_with_lora-mnli-d1_fs2

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opt-350m-pattern-basedfinetuningwithlora-mnli-d1fs2

This model is a fine-tuned version of facebook/opt-350m on the glue dataset. It achieves the following results on the evaluation set:

• —Loss: 0.9473
• —Accuracy: 0.5081

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-06
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.7.1.dev0
• —Transformers 4.36.0.dev0
• —Pytorch 2.1.0+cu118
• —Datasets 2.15.0
• —Tokenizers 0.15.0