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qa_distilbert_finetuned_test – AI Model by qiqiquq | AlphaNeural AI
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qiqiquq
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qa_distilbert_finetuned_test
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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qa_distilbert_finetuned_test
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: 1.5467
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: 5e-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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
16
1.1591
No log
2.0
32
1.3808
No log
3.0
48
1.4613
No log
4.0
64
1.5160
No log
5.0
80
1.5467
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
