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distilbert-pst – AI Model by zaidbhatti | AlphaNeural AI
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zaidbhatti
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distilbert-pst
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transformers
pytorch
distilbert
question-answering
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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distilbert-pst
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3562
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
21
2.9573
No log
2.0
42
1.6230
No log
3.0
63
1.3562
Framework versions
Transformers 4.34.0
Pytorch 2.0.1
Datasets 2.14.6
Tokenizers 0.14.1