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colinhwang
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baseball-videomae

Video Classification
Transformers
Safetensors
videomae
Generated from Trainer
Inference Endpoints
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baseball-videomae / README.md
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metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: baseball-videomae
    results: []

baseball-videomae

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: 0.5392
  • Accuracy: 0.0370

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: Use OptimizerNames.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
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.9111 1.0 218 0.5392 0.0370

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.7.0.dev20250109
  • Datasets 3.2.0
  • Tokenizers 0.21.0