AndersGiovanni/gemma-2b-10-dim

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gemma-2b

This model is a fine-tuned version of google/gemma-2b on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2043
• —Accuracy: 0.1214
• —Precision: 0.5978
• —Recall: 0.2784
• —F1: 0.3799
• —Hamming Loss: 0.1948

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: 0.0001
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.5.0
• —Transformers 4.38.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2