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videomae-base-finetuned-arcrossing-subset – AI Model by jayparmar0707 | AlphaNeural AI
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videomae-base-finetuned-arcrossing-subset
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transformers
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-arcrossing-subset
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: 0.5619
Accuracy: 0.8235
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5825
1.0
17
0.5619
0.8235
0.6522
2.0
34
0.6218
0.8235
0.3963
3.0
51
0.5544
0.8235
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu124
Datasets 3.0.0
Tokenizers 0.19.1
