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license: cc-by-nc-4.0
base_model: facebook/timesformer-base-finetuned-k400
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-timesformer-surf-analytics
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-timesformer-surf-analytics
This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6192
- Accuracy: 0.8382
## 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: 925
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.4491 | 0.2011 | 186 | 0.6939 | 0.7386 |
| 0.5627 | 1.2011 | 372 | 0.6806 | 0.7759 |
| 0.5189 | 2.2011 | 558 | 0.6510 | 0.8174 |
| 0.2503 | 3.2011 | 744 | 0.6732 | 0.8174 |
| 0.0159 | 4.1957 | 925 | 0.6192 | 0.8382 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.1.0+cpu
- Datasets 2.19.2
- Tokenizers 0.19.1
|