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esm2_t6_8M_UR50D-Ab-CLIP-v0

This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8743
  • Alignment: 1.0213
  • Uniformity: -3.0773
  • Contrastive Accuracy: 0.2267
  • Top 3 Accuracy: 0.5067

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 5
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Alignment Uniformity Contrastive Accuracy Top 3 Accuracy
1.0153 1.0 196 1.2958 1.2729 -2.4114 0.0680 0.1837
0.4623 2.0 392 1.0729 1.1755 -2.8008 0.0952 0.2653
0.2646 3.0 588 1.0867 1.1511 -2.9630 0.1361 0.3265
0.1815 4.0 784 1.0768 1.1490 -3.0403 0.1293 0.3673
0.1403 5.0 980 1.0527 1.1426 -3.0663 0.1224 0.3605

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Tokenizers 0.19.1
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