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abcd – AI Model by hardik9719 | AlphaNeural AI
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hardik9719
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abcd
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transformers
tensorboard
safetensors
timesformer
video-classification
generated_from_trainer
facebook/timesformer-base-finetuned-k400
finetune
cc-by-nc-4.0
endpoints_compatible
us
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abcd
This model is a fine-tuned version of
facebook/timesformer-base-finetuned-k400
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7002
Accuracy: 0.7887
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 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: 552
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.1325
0.1685
93
1.0676
0.5568
0.738
1.1685
186
1.2091
0.5499
0.6397
2.1685
279
1.2484
0.6116
0.4395
3.1685
372
1.0140
0.6427
0.3098
4.1685
465
0.9757
0.6830
0.1016
5.1576
552
0.7179
0.7589
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu118
Datasets 3.3.2
Tokenizers 0.21.1
