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ReSearchZ – AI Model by srz30 | AlphaNeural AI
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srz30
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ReSearchZ
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transformers
tensorboard
safetensors
distilbert
fill-mask
generated_from_trainer
sentence-transformers/multi-qa-distilbert-cos-v1
finetune
autotrain_compatible
endpoints_compatible
us
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ReSearchZ
This model is a fine-tuned version of
sentence-transformers/multi-qa-distilbert-cos-v1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9687
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.7478
1.0
269
2.2325
2.2085
2.0
538
1.9959
2.0775
3.0
807
1.9921
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
