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checkpoint-finetuned-ucf101-subset – AI Model by siddharthh | AlphaNeural AI

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siddharthh/
checkpoint-finetuned-ucf101-subset

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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checkpoint-finetuned-ucf101-subset

This model is a fine-tuned version of bert-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: 5e-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
lr_scheduler_warmup_ratio: 0.1
training_steps: 72

Framework versions

Transformers 4.41.2
Pytorch 2.0.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1