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finetuning-sentiment-model-mpnet – AI Model by abhiramd22 | AlphaNeural AI
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finetuning-sentiment-model-mpnet
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transformers
tensorboard
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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finetuning-sentiment-model-mpnet
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: 0.2909
Accuracy: 0.8953
F1: 0.8944
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: 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: 2
Training results
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
