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esm2_t30_150M_UR50D-finetuned-effector – AI Model by dariader | AlphaNeural AI
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esm2_t30_150M_UR50D-finetuned-effector
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transformers
tensorboard
safetensors
esm
text-classification
generated_from_trainer
facebook/esm2_t30_150M_UR50D
finetune
mit
autotrain_compatible
endpoints_compatible
us
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esm2_t30_150M_UR50D-finetuned-effector
This model is a fine-tuned version of
facebook/esm2_t30_150M_UR50D
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5082
Accuracy: 0.7858
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.551
1.0
649
0.5039
0.7428
0.4832
2.0
1298
0.4989
0.7509
0.4485
3.0
1947
0.5181
0.7716
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Tokenizers 0.15.2
