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---
library_name: transformers
license: cc-by-nc-4.0
base_model: DaliaSherman/videomae-base-finetuned-beilinson-6epochs
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-beilinson-9epochs
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-base-finetuned-beilinson-9epochs
This model is a fine-tuned version of [DaliaSherman/videomae-base-finetuned-beilinson-6epochs](https://huggingface.co/DaliaSherman/videomae-base-finetuned-beilinson-6epochs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9951
- Accuracy: 0.4292
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 156
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.8878 | 0.3333 | 52 | 2.2399 | 0.3734 |
| 0.8784 | 1.3333 | 104 | 2.0912 | 0.4120 |
| 1.0743 | 2.3333 | 156 | 1.9951 | 0.4292 |
### Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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