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mpnet_finetuned – AI Model by varadsrivastava | AlphaNeural AI
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varadsrivastava
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mpnet_finetuned
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transformers
tensorboard
safetensors
mpnet
text-classification
generated_from_trainer
sentence-transformers/paraphrase-mpnet-base-v2
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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mpnet_finetuned
This model is a fine-tuned version of
sentence-transformers/paraphrase-mpnet-base-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2926
Accuracy: 0.9367
F1: 0.9367
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: 0.00011913346592409408
train_batch_size: 32
eval_batch_size: 16
seed: 22
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
313
1.1492
0.8442
0.8442
1.8684
2.0
626
0.4775
0.9049
0.9049
1.8684
3.0
939
0.3382
0.9302
0.9302
0.336
4.0
1252
0.2926
0.9367
0.9367
Framework versions
Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.15.2
