|
--- |
|
license: cc-by-nc-4.0 |
|
base_model: minhah/videomae-base-finetuned-crema-d8 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: videomae-base-finetuned-crema-d8-finetuned-elder-creama-d-pretuned |
|
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-crema-d8-finetuned-elder-creama-d-pretuned |
|
|
|
This model is a fine-tuned version of [minhah/videomae-base-finetuned-crema-d8](https://huggingface.co/minhah/videomae-base-finetuned-crema-d8) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6702 |
|
- Accuracy: 0.3389 |
|
|
|
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- training_steps: 1440 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 1.6909 | 0.1 | 145 | 1.6484 | 0.3352 | |
|
| 1.5944 | 1.1 | 290 | 1.6735 | 0.2798 | |
|
| 1.5776 | 2.1 | 435 | 1.6654 | 0.3212 | |
|
| 1.6768 | 3.1 | 580 | 1.7330 | 0.1858 | |
|
| 1.6108 | 4.1 | 725 | 1.6919 | 0.2504 | |
|
| 1.5103 | 5.1 | 870 | 1.6524 | 0.2805 | |
|
| 1.5447 | 6.1 | 1015 | 1.6767 | 0.3086 | |
|
| 1.5237 | 7.1 | 1160 | 1.7329 | 0.2553 | |
|
| 1.4397 | 8.1 | 1305 | 1.7293 | 0.2475 | |
|
| 1.4544 | 9.09 | 1440 | 1.7368 | 0.2518 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
