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fine-tuned-model-volley – AI Model by martinnz | AlphaNeural AI
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fine-tuned-model-volley
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tensorboard
safetensors
videomae
generated_from_trainer
MCG-NJU/videomae-base
finetune
cc-by-nc-4.0
us
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fine-tuned-model-volley
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: 2.0577
Accuracy: 0.5440
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: 4398
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.0824
0.3256
1432
1.1156
0.2518
1.1209
1.3256
2864
1.1353
0.2518
0.9774
2.3256
4296
1.9426
0.5563
0.3645
3.0232
4398
2.0577
0.5440
Framework versions
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
