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

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devsick/
distilbert-base-uncased-finetuned-squad

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distilbert-base-uncased-finetuned-squad

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.1715
eval_runtime: 40.3394
eval_samples_per_second: 267.332
eval_steps_per_second: 16.708
epoch: 1.0
step: 5533

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: 3

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1