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videoMAE_base_wlasl_100_20ep_failureCase – AI Model by Shawon16 | AlphaNeural AI
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Shawon16
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videoMAE_base_wlasl_100_20ep_failureCase
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transformers
safetensors
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-base-finetuned-kinetics
finetune
cc-by-nc-4.0
endpoints_compatible
us
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videoMAE_base_wlasl_100_20ep_failureCase
This model is a fine-tuned version of
MCG-NJU/videomae-base-finetuned-kinetics
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3033
Accuracy: 0.5312
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
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: 85
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
9.557
0.2
17
2.2345
0.1875
8.0214
1.2059
35
1.9148
0.3125
6.1022
2.2
52
1.5669
0.5625
3.7933
3.2059
70
1.3570
0.5625
2.8819
4.1765
85
1.3033
0.5312
Framework versions
Transformers 4.46.1
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.1
