|
--- |
|
license: cc-by-nc-4.0 |
|
base_model: MCG-NJU/videomae-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: videomae-base-groub29-30-finetuned-SLT-subset |
|
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-groub29-30-finetuned-SLT-subset |
|
|
|
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: 2.8812 |
|
- Accuracy: 0.1111 |
|
|
|
## 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: 48 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 0.15 | 7 | 3.2525 | 0.0741 | |
|
| 3.4041 | 1.15 | 14 | 3.1928 | 0.0741 | |
|
| 3.3195 | 2.15 | 21 | 3.0810 | 0.1111 | |
|
| 3.3195 | 3.15 | 28 | 3.0070 | 0.1111 | |
|
| 3.1425 | 4.15 | 35 | 2.9406 | 0.1481 | |
|
| 2.9592 | 5.15 | 42 | 2.8942 | 0.1481 | |
|
| 2.9592 | 6.12 | 48 | 2.8812 | 0.1111 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 2.0.0+cpu |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.13.3 |
|
|
