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videomae-base-finetuned-ucf101-subset – AI Model by Fulwa | AlphaNeural AI
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Fulwa
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videomae-base-finetuned-ucf101-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-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: 2.3963
Accuracy: 0.1154
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 36
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.4449
0.3889
14
2.4051
0.0769
2.4615
1.3889
28
2.3911
0.1154
2.4631
2.2222
36
2.3963
0.1154
Framework versions
Transformers 4.40.1
Pytorch 2.1.2+rocm6.0
Datasets 2.19.1
Tokenizers 0.19.1
