metadata
base_model: OFA-Sys/chinese-clip-vit-base-patch16
tags:
- generated_from_trainer
model-index:
- name: aoi_clip_clean_new_sampler_fomula_clean
results: []
aoi_clip_clean_new_sampler_fomula_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: 4.9099
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: 60.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4122 | 6.0 | 8874 | 3.9394 |
| 2.2167 | 12.0 | 17748 | 4.1647 |
| 2.0965 | 18.0 | 26622 | 4.4300 |
| 2.0238 | 24.0 | 35496 | 4.5740 |
| 1.9938 | 30.0 | 44370 | 4.6265 |
| 1.973 | 36.0 | 53244 | 4.6714 |
| 1.9583 | 42.0 | 62118 | 4.7931 |
| 1.9466 | 48.0 | 70992 | 4.7913 |
| 1.9415 | 54.0 | 79866 | 4.8448 |
| 1.9369 | 60.0 | 88740 | 4.8862 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1