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AV_MAE_DF1M_noCEnoCL_new – AI Model by yadvender12 | AlphaNeural AI
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AV_MAE_DF1M_noCEnoCL_new
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transformers
tensorboard
safetensors
videomae
video-classification
generated_from_trainer
endpoints_compatible
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AV_MAE_DF1M_noCEnoCL_new
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2893
Accuracy: 0.9352
F1: 0.9348
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: 14120
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.4187
0.32
4517
0.3861
0.9068
0.9061
0.2655
1.32
9033
0.3171
0.9255
0.9253
0.7603
2.32
13549
0.2914
0.9355
0.9351
0.3845
3.04
14120
0.2893
0.9352
0.9348
Framework versions
Transformers 4.37.2
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.1
