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videomae-base-finetuned-sphar – AI Model by ahsanshahid2882 | AlphaNeural AI
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videomae-base-finetuned-sphar
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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-sphar
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: 0.9060
Accuracy: 0.7428
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: 2
eval_batch_size: 2
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: 3752
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.1838
0.2463
924
1.1104
0.7292
1.0275
1.2463
1848
0.9165
0.7214
0.6294
2.2463
2772
0.9556
0.7409
1.2754
3.2463
3696
0.9022
0.7444
0.6501
4.0149
3752
0.9060
0.7428
Framework versions
Transformers 4.41.2
Pytorch 2.2.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1
