|
--- |
|
license: cc-by-nc-4.0 |
|
base_model: namnh2002/model_timesformer_subset_02 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: model_timesformer_subset_02 |
|
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. --> |
|
|
|
# model_timesformer_subset_02 |
|
|
|
This model is a fine-tuned version of [namnh2002/model_timesformer_subset_02](https://huggingface.co/namnh2002/model_timesformer_subset_02) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.8445 |
|
- Accuracy: 0.5395 |
|
|
|
## 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 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- training_steps: 2000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.9537 | 0.12 | 250 | 1.6973 | 0.5245 | |
|
| 0.8751 | 1.12 | 500 | 1.7124 | 0.5345 | |
|
| 0.7491 | 2.12 | 750 | 1.7508 | 0.5365 | |
|
| 0.6867 | 3.12 | 1000 | 1.7845 | 0.5325 | |
|
| 0.5597 | 4.12 | 1250 | 1.8160 | 0.539 | |
|
| 0.4531 | 5.12 | 1500 | 1.8213 | 0.5455 | |
|
| 0.3253 | 6.12 | 1750 | 1.9083 | 0.5435 | |
|
| 0.3531 | 7.12 | 2000 | 1.8445 | 0.5395 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.15.2 |
|
|