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videomae-base-finetuned-inhard-finetuned-inhard2-finetuned-inhard3 – AI Model by shossain11 | AlphaNeural AI
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shossain11
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videomae-base-finetuned-inhard-finetuned-inhard2-finetuned-inhard3
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transformers
safetensors
videomae
video-classification
generated_from_trainer
shossain11/videomae-base-finetuned-inhard-finetuned-inhard2
finetune
cc-by-nc-4.0
endpoints_compatible
us
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videomae-base-finetuned-inhard-finetuned-inhard2-finetuned-inhard3
This model is a fine-tuned version of
shossain11/videomae-base-finetuned-inhard-finetuned-inhard2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1820
Accuracy: 0.6987
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: 9580
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.3379
0.2
1916
1.3811
0.6337
0.8188
1.2
3832
1.8435
0.5272
0.5813
2.2
5748
1.1628
0.7203
0.5712
3.2
7664
1.1364
0.6970
0.723
4.2
9580
1.0294
0.7303
Framework versions
Transformers 4.35.2
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0
