metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Matcha_clips_224_fintuned_5
results: []
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