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esm2_t6_8M_UR50D-finetuned-localization – AI Model by rchikhi | AlphaNeural AI
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esm2_t6_8M_UR50D-finetuned-localization
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transformers
pytorch
tensorboard
esm
text-classification
generated_from_trainer
facebook/esm2_t6_8M_UR50D
finetune
autotrain_compatible
endpoints_compatible
us
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esm2_t6_8M_UR50D-finetuned-localization
This model is a fine-tuned version of
facebook/esm2_t6_8M_UR50D
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1416
Accuracy: 0.9699
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
0.1479
1.0
4122
0.1719
0.9586
0.1035
2.0
8244
0.1460
0.9660
0.0755
3.0
12366
0.1416
0.9699
Framework versions
Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.6.1
Tokenizers 0.13.2
