metadata
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: >-
videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset
results: []
videomae-base-finetuned-kinetics-finetuned-ucf101-subset-finetuned-ucf101-subset
This model is a fine-tuned version of sayakpaul/videomae-base-finetuned-kinetics-finetuned-ucf101-subset on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3943
- Accuracy: 0.2143
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: 1
- eval_batch_size: 1
- 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: 36
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4538 | 1.0 | 36 | 1.3749 | 0.3099 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.8.0
- Tokenizers 0.12.1