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ESM_EndToEnd – AI Model by vadams2327 | AlphaNeural AI
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vadams2327
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ESM_EndToEnd
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transformers
safetensors
esm
text-classification
generated_from_trainer
facebook/esm2_t33_650M_UR50D
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Model card
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ESM_EndToEnd
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: 0.9955
Accuracy: 0.6857
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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
35
1.0016
0.5714
No log
2.0
70
0.7018
0.6
No log
3.0
105
0.6536
0.6286
No log
4.0
140
1.1304
0.6571
No log
5.0
175
0.9955
0.6857
Framework versions
Transformers 4.42.4
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1
