metadata

license: mit
base_model: facebook/esm2_t33_650M_UR50D
tags:
  - generated_from_trainer
metrics:
  - spearmanr
model-index:
  - name: esm2_t33_650M_UR50D-finetuned-Ab14H-v1
    results: []

esm2_t33_650M_UR50D-finetuned-Ab14H-v1

This model is a fine-tuned version of facebook/esm2_t33_650M_UR50D on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1045
Spearmanr: 0.6618

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-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Spearmanr
3.0658	1.0	643	1.2677	0.6347
1.3185	2.0	1286	1.1780	0.6502
1.1867	3.0	1929	1.1368	0.6568
1.0087	4.0	2572	1.0889	0.6640
0.864	5.0	3215	1.1045	0.6618

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1