metadata
base_model: OFA-Sys/chinese-clip-vit-base-patch16
tags:
- generated_from_trainer
model-index:
- name: aoi_clip_clean
results: []
aoi_clip_clean
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: 5.6248
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: 120.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2626 | 12.0 | 17748 | 6.2362 |
| 0.057 | 24.0 | 35496 | 6.3541 |
| 0.0428 | 36.0 | 53244 | 6.0895 |
| 0.0359 | 48.0 | 70992 | 6.1071 |
| 0.0312 | 60.0 | 88740 | 5.9994 |
| 0.0287 | 72.0 | 106488 | 5.8543 |
| 0.0262 | 84.0 | 124236 | 5.7595 |
| 0.0246 | 96.0 | 141984 | 5.7167 |
| 0.0227 | 108.0 | 159732 | 5.6840 |
| 0.0215 | 120.0 | 177480 | 5.6248 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1