videomae-base-finetuned-Custom_Dataset_Finetune
This model is a fine-tuned version of MCG-NJU/videomae-base on an Cricket Shots dataset. It achieves the following results on the evaluation set:
- Loss: 0.8060
- Accuracy: 0.7586
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: 6e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 250
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9284 | 0.252 | 63 | 0.9844 | 0.5152 |
| 0.9402 | 1.252 | 126 | 0.9521 | 0.6818 |
| 0.8639 | 2.252 | 189 | 0.7931 | 0.6061 |
| 0.6195 | 3.2440 | 250 | 0.9109 | 0.6364 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for Asadali12/videomae-base-finetuned-Custom_Dataset_Finetune
Base model
MCG-NJU/videomae-base