metadata
base_model: OFA-Sys/chinese-clip-vit-base-patch16
tags:
- generated_from_trainer
model-index:
- name: aoi_clip_clean_new_sampler
results: []
aoi_clip_clean_new_sampler
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: 3.8199
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 |
|---|---|---|---|
| 2.3088 | 12.0 | 17748 | 3.1875 |
| 2.0566 | 24.0 | 35496 | 3.3424 |
| 1.9815 | 36.0 | 53244 | 3.4545 |
| 1.9566 | 48.0 | 70992 | 3.5668 |
| 1.9488 | 60.0 | 88740 | 3.5229 |
| 1.9424 | 72.0 | 106488 | 3.6771 |
| 1.9411 | 84.0 | 124236 | 3.7868 |
| 1.9388 | 96.0 | 141984 | 3.7067 |
| 1.9352 | 108.0 | 159732 | 3.8508 |
| 1.9318 | 120.0 | 177480 | 3.8199 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1