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esm2_t33_650M_UR50D-finetuned-Ab14H-v1 – AI Model by arjan-hada | AlphaNeural AI
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arjan-hada
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esm2_t33_650M_UR50D-finetuned-Ab14H-v1
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transformers
tensorboard
safetensors
esm
text-classification
generated_from_trainer
facebook/esm2_t33_650M_UR50D
finetune
mit
autotrain_compatible
endpoints_compatible
us
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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
