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qa_distilbert_finetuned – AI Model by qiqiquq | AlphaNeural AI
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qiqiquq
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qa_distilbert_finetuned
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transformers
pytorch
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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qa_distilbert_finetuned
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: 1.1010
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: 32
eval_batch_size: 32
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
1.2862
1.0
2557
1.1823
1.0128
2.0
5114
1.0980
0.8677
3.0
7671
1.1010
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
