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QA_model – AI Model by zhaoxinwind | AlphaNeural AI
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QA_model
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transformers
tensorboard
safetensors
distilbert
question-answering
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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QA_model
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: 0.0017
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
0.0855
1.0
1202
0.0812
0.0312
2.0
2404
0.0017
0.0005
3.0
3606
0.0017
Framework versions
Transformers 4.37.2
Pytorch 2.1.2+cpu
Datasets 2.16.1
Tokenizers 0.15.1
