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videomae-base-finetuned-typing-detection – AI Model by jpablo0705 | AlphaNeural AI
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videomae-base-finetuned-typing-detection
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transformers
tensorboard
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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videomae-base-finetuned-typing-detection
This model is a fine-tuned version of
MCG-NJU/videomae-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7329
Accuracy: 0.5333
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: 4
eval_batch_size: 4
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 60
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7768
0.2667
16
0.7145
0.25
0.7144
1.2667
32
0.7077
0.5333
0.7573
2.2667
48
0.7484
0.5333
0.6849
3.2
60
0.7329
0.5333
Framework versions
Transformers 4.48.3
Pytorch 2.4.0+cu121
Datasets 2.19.2
Tokenizers 0.21.0
