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aoi_clip_high_resolution_text_only_gpt_froce_same_aoi_256_256
sharkMeow/aoi_clip_high_resolution_text_only_gpt_froce_same_aoi_256_256
aoi_clip_high_resolution_text_only_gpt_froce_same_aoi_256_256 is a machine learning model from sharkMeow. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- chinese_clip
- Access
- Public
- Created
- Oct 6, 2024
- Updated
- Oct 7, 2024
- SHA
- b36700a5
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
aoi_clip_high_resolution_text_only_gpt_froce_same_aoi_256_256
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: 3.3613
- Accuracy: 0.1950
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: 25
- eval_batch_size: 20
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 200
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1815 | 9.9135 | 430 | 2.7455 | 0.2067 |
| 0.8485 | 19.8271 | 860 | 3.2171 | 0.1998 |
| 0.702 | 29.7406 | 1290 | 3.3305 | 0.1984 |
| 0.65 | 39.6542 | 1720 | 3.3562 | 0.1981 |
| 0.6222 | 49.5677 | 2150 | 3.3746 | 0.1976 |
| 0.5985 | 59.4813 | 2580 | 3.3718 | 0.1967 |
| 0.5949 | 69.3948 | 3010 | 3.3636 | 0.1960 |
| 0.5885 | 79.3084 | 3440 | 3.3724 | 0.1952 |
| 0.5817 | 89.2219 | 3870 | 3.3704 | 0.1947 |
| 0.5771 | 99.1354 | 4300 | 3.3613 | 0.1949 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- chinese_clip
- Created
- Oct 6, 2024
- Updated
- Oct 7, 2024