metadata
base_model: OFA-Sys/chinese-clip-vit-base-patch16
tags:
- generated_from_trainer
model-index:
- name: aoi_clip
results: []
aoi_clip
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: 5.5439
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: 40
- eval_batch_size: 44
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 150.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2989 | 10.0 | 14790 | 6.2126 |
| 0.0626 | 20.0 | 29580 | 6.1552 |
| 0.0467 | 30.0 | 44370 | 6.0248 |
| 0.0383 | 40.0 | 59160 | 6.0260 |
| 0.0333 | 50.0 | 73950 | 5.9856 |
| 0.0301 | 60.0 | 88740 | 5.8489 |
| 0.0275 | 70.0 | 103530 | 5.8452 |
| 0.0255 | 80.0 | 118320 | 5.7286 |
| 0.0238 | 90.0 | 133110 | 5.6773 |
| 0.0225 | 100.0 | 147900 | 5.5744 |
| 0.0243 | 110.0 | 162690 | 5.6549 |
| 0.024 | 120.0 | 177480 | 5.5997 |
| 0.0227 | 130.0 | 192270 | 5.5604 |
| 0.0219 | 140.0 | 207060 | 5.5429 |
| 0.0217 | 150.0 | 221850 | 5.5439 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1