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videomae-base-finetuned-beilinson – AI Model by DaliaSherman | AlphaNeural AI
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DaliaSherman
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videomae-base-finetuned-beilinson
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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-beilinson
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: 2.7997
Accuracy: 0.2146
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: 8
eval_batch_size: 8
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: 156
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.937
0.3333
52
3.0845
0.0730
2.4678
1.3333
104
2.8946
0.1459
2.4529
2.3333
156
2.7997
0.2146
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
