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distilbert-base-uncased-finetuned-emrQA-msquad – AI Model by wieheistdu | AlphaNeural AI
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distilbert-base-uncased-finetuned-emrQA-msquad
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transformers
safetensors
distilbert
question-answering
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-finetuned-emrQA-msquad
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0500
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
0.3066
1.0
7944
0.1975
0.1312
2.0
15888
0.0871
0.0722
3.0
23832
0.0500
Framework versions
Transformers 4.41.2
Pytorch 1.13.1+cu116
Datasets 2.19.2
Tokenizers 0.19.1
