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videomae-base-finetuned-ucf101-subset – AI Model by Ham1mad1 | AlphaNeural AI
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Ham1mad1
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videomae-base-finetuned-ucf101-subset
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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-ucf101-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: 1.8280
Accuracy: 0.2857
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: 1
eval_batch_size: 1
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: 19
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.9151
1.0
19
1.8280
0.2857
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cpu
Datasets 2.16.0
Tokenizers 0.15.0
