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videomae-base-finetuned-ucf101-subset – AI Model by Yash-Gupta | AlphaNeural AI
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Yash-Gupta
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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: 0.5050
Accuracy: 0.8065
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: 148
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.1705
0.2568
38
1.8774
0.4286
0.9008
1.2568
76
0.8672
0.7714
0.4817
2.2568
114
0.5201
0.7857
0.3249
3.2297
148
0.4069
0.9429
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
