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bert-squad-finetuned – AI Model by wf8888884 | AlphaNeural AI
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bert-squad-finetuned
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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bert-squad-finetuned
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6172
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
No log
1.0
125
2.2206
No log
2.0
250
1.6823
No log
3.0
375
1.6172
Framework versions
Transformers 4.35.2
Pytorch 1.13.0+cu117
Datasets 2.10.1
Tokenizers 0.15.0
