video-classification-finetuned-ucf101-subset
This model is a fine-tuned version of hungsvdut2k2/video-classification on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5977
- eval_accuracy: 0.7059
- eval_runtime: 351.4501
- eval_samples_per_second: 2.322
- eval_steps_per_second: 0.29
- epoch: 0.05
- step: 118
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: 2200
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
- Downloads last month
- 1
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.