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distilbert-base-uncased-finetuned-indosquad-v2 – AI Model by arvalinno | AlphaNeural AI
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arvalinno
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distilbert-base-uncased-finetuned-indosquad-v2
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-finetuned-indosquad-v2
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: 1.6650
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
1.9015
1.0
9676
1.5706
1.6438
2.0
19352
1.5926
1.4714
3.0
29028
1.5253
1.3486
4.0
38704
1.6650
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3
