metadata
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: []
model_timesformer_subset_02
This model is a fine-tuned version of namnh2002/model_timesformer_subset_02 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4130
- Accuracy: 0.8852
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: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 6250
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9368 | 0.1 | 625 | 1.8302 | 0.5026 |
| 0.9936 | 1.1 | 1250 | 1.3368 | 0.6081 |
| 0.9407 | 2.1 | 1875 | 1.1348 | 0.6794 |
| 0.8338 | 3.1 | 2500 | 0.9604 | 0.7270 |
| 0.629 | 4.1 | 3125 | 0.7775 | 0.7684 |
| 0.4094 | 5.1 | 3750 | 0.6939 | 0.8056 |
| 0.398 | 6.1 | 4375 | 0.5883 | 0.8366 |
| 0.3242 | 7.1 | 5000 | 0.4594 | 0.8707 |
| 0.2768 | 8.1 | 5625 | 0.5158 | 0.8604 |
| 0.2571 | 9.1 | 6250 | 0.4130 | 0.8852 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2