sasuface/progen2-small-lora-64-remote-homology-filtered

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progen2-small-lora-64-remote-homology-filtered

This model is a fine-tuned version of hugohrban/progen2-small on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1353
• —Precision: 0.9499
• —Recall: 0.9699
• —F1-score: 0.9598
• —Accuracy: 0.9595

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: 0.0002
• —trainbatchsize: 192
• —evalbatchsize: 192
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 384
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5

Training results

Framework versions

• —PEFT 0.10.0
• —Transformers 4.40.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1