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albert-base-v2-finetuned-squad – AI Model by ParsaS | AlphaNeural AI
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ParsaS
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albert-base-v2-finetuned-squad
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transformers
pytorch
albert
question-answering
generated_from_trainer
albert/albert-base-v2
finetune
apache-2.0
endpoints_compatible
us
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albert-base-v2-finetuned-squad
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8715
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: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.8849
1.0
2062
0.8160
0.7038
2.0
4124
0.8003
0.5181
3.0
6186
0.8715
Framework versions
Transformers 4.32.1
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.13.2
