metadata
base_model: OFA-Sys/chinese-clip-vit-base-patch16
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: aoi_clip_high_resolution_concate_fusin_crop_each_text_512
results: []
aoi_clip_high_resolution_concate_fusin_crop_each_text_512
This model is a fine-tuned version of OFA-Sys/chinese-clip-vit-base-patch16 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5539
- Accuracy: 0.0669
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: 1e-05
- train_batch_size: 15
- eval_batch_size: 20
- seed: 42
- gradient_accumulation_steps: 14
- total_train_batch_size: 210
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5814 | 6.0 | 1530 | 3.0257 | 0.0726 |
| 1.4807 | 12.0 | 3060 | 3.2677 | 0.0712 |
| 1.4075 | 18.0 | 4590 | 3.3332 | 0.0703 |
| 1.3618 | 24.0 | 6120 | 3.2491 | 0.0692 |
| 1.3396 | 30.0 | 7650 | 3.3756 | 0.0690 |
| 1.3298 | 36.0 | 9180 | 3.5386 | 0.0678 |
| 1.324 | 42.0 | 10710 | 3.5245 | 0.0675 |
| 1.3177 | 48.0 | 12240 | 3.5136 | 0.0671 |
| 1.3181 | 54.0 | 13770 | 3.4984 | 0.0669 |
| 1.3117 | 60.0 | 15300 | 3.5539 | 0.0669 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1