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---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: videomae-surf-analytics-sans-wandb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# videomae-surf-analytics-sans-wandb
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5544
- Accuracy: 0.8852
- F1: 0.8840
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1850
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 1.3096 | 0.2005 | 371 | 1.3267 | 0.4590 | 0.2888 |
| 1.0586 | 1.2005 | 742 | 1.2866 | 0.5820 | 0.5035 |
| 0.9781 | 2.2005 | 1113 | 0.7952 | 0.7459 | 0.7466 |
| 0.0034 | 3.2005 | 1484 | 0.7218 | 0.8361 | 0.8343 |
| 0.1895 | 4.1978 | 1850 | 0.5544 | 0.8852 | 0.8840 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1
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