|
|
--- |
|
|
library_name: transformers |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: Matcha_clips_224_fintuned_5 |
|
|
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. --> |
|
|
|
|
|
# Matcha_clips_224_fintuned_5 |
|
|
|
|
|
This model was trained from scratch on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.5168 |
|
|
- Accuracy: 0.7326 |
|
|
|
|
|
## 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: Use OptimizerNames.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: 1140 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
|
| 0.5414 | 0.1 | 114 | 0.9738 | 0.6628 | |
|
|
| 0.175 | 1.1 | 228 | 1.3822 | 0.7093 | |
|
|
| 0.0043 | 2.1 | 342 | 1.1047 | 0.7442 | |
|
|
| 0.0034 | 3.1 | 456 | 1.4682 | 0.7093 | |
|
|
| 0.0038 | 4.1 | 570 | 1.4363 | 0.7209 | |
|
|
| 0.0005 | 5.1 | 684 | 1.4663 | 0.7209 | |
|
|
| 0.0005 | 6.1 | 798 | 1.4943 | 0.7326 | |
|
|
| 0.0004 | 7.1 | 912 | 1.5062 | 0.7326 | |
|
|
| 0.0004 | 8.1 | 1026 | 1.5134 | 0.7326 | |
|
|
| 0.0004 | 9.1 | 1140 | 1.5168 | 0.7326 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.3.1+cu121 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.1 |
|
|
|
