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distilbert-base-uncased-finetuned-squad-v2 – AI Model by Mssrkkh | AlphaNeural AI

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Mssrkkh/
distilbert-base-uncased-finetuned-squad-v2

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distilbert-base-uncased-finetuned-squad-v2

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.

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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Framework versions

Transformers 4.49.0
Pytorch 2.6.0
Datasets 3.4.1
Tokenizers 0.21.1