metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: vit_focus
results: []
vit_focus
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1298
- Mse: 0.2126
- Mae: 0.4135
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
|---|---|---|---|---|---|
| No log | 1.0 | 2 | 0.1354 | 0.2143 | 0.4156 |
| No log | 2.0 | 4 | 0.1343 | 0.2140 | 0.4152 |
| No log | 3.0 | 6 | 0.1323 | 0.2134 | 0.4145 |
| No log | 4.0 | 8 | 0.1298 | 0.2126 | 0.4135 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0
- Datasets 3.5.1
- Tokenizers 0.21.1