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picth_vision_checkpoint_1 – AI Model by miladfa7 | AlphaNeural AI
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miladfa7
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picth_vision_checkpoint_1
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transformers
tensorboard
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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picth_vision_checkpoint_1
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: 0.0552
Accuracy: 0.9939
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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.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: 12296
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0198
0.2501
3075
0.0892
0.9847
0.0459
1.2501
6150
0.0368
0.9928
0.0
2.2501
9225
0.0471
0.9939
0.0
3.2498
12296
0.0552
0.9939
Framework versions
Transformers 4.51.3
Pytorch 2.3.1+cu121
Datasets 3.6.0
Tokenizers 0.21.1
