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distilbert-base-uncased-finetuned-stsb – AI Model by SjardiWillems | AlphaNeural AI
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SjardiWillems
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distilbert-base-uncased-finetuned-stsb
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
SjardiWillems/distilbert-base-uncased-finetuned-stsb
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-stsb
This model is a fine-tuned version of
SjardiWillems/distilbert-base-uncased-finetuned-stsb
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5419
Pearson: 0.8736
Spearmanr: 0.8702
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: 3.1992432473500055e-06
train_batch_size: 64
eval_batch_size: 16
seed: 25
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
Pearson
Spearmanr
No log
1.0
90
0.5404
0.8727
0.8690
No log
2.0
180
0.5394
0.8736
0.8701
No log
3.0
270
0.5394
0.8738
0.8703
No log
4.0
360
0.5419
0.8736
0.8702
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
