sasuface/esm2-t36-3B-lora-16-remote-homology-filtered
03
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
esm2-t36-3B-lora-16-remote-homology-filtered
This model is a fine-tuned version of facebook/esm2_t36_3B_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4403
- Precision: 0.7922
- Recall: 0.8139
- F1-score: 0.8029
- Accuracy: 0.7990
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: 96
- evalbatchsize: 96
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 192
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 5
- mixedprecisiontraining: Native AMP
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
