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results – AI Model by Himanshu99001 | AlphaNeural AI
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Himanshu99001
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results
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transformers
safetensors
mpnet
text-classification
generated_from_trainer
sentence-transformers/all-mpnet-base-v2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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This model is a fine-tuned version of
sentence-transformers/all-mpnet-base-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0437
Accuracy: 0.9931
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
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
108
0.0413
0.9931
No log
2.0
216
0.0419
0.9931
No log
3.0
324
0.0554
0.9907
No log
4.0
432
0.0402
0.9931
0.049
5.0
540
0.0437
0.9931
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1
