videomae-base-groub19-20-finetuned-SLT-subset
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: 3.1970
- Accuracy: 0.1220
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 80
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.853 | 0.14 | 11 | 3.6435 | 0.0732 |
| 3.7412 | 1.14 | 22 | 3.5800 | 0.0732 |
| 3.7045 | 2.14 | 33 | 3.4833 | 0.1220 |
| 3.487 | 3.14 | 44 | 3.3655 | 0.1220 |
| 3.4174 | 4.14 | 55 | 3.2769 | 0.1220 |
| 3.3735 | 5.14 | 66 | 3.2278 | 0.1220 |
| 3.3319 | 6.14 | 77 | 3.1988 | 0.1220 |
| 3.1906 | 7.04 | 80 | 3.1970 | 0.1220 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3
- Downloads last month
- 60
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for asmaa1/videomae-base-groub19-20-finetuned-SLT-subset
Base model
MCG-NJU/videomae-base