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aoi_clip_eval
sharkMeow/aoi_clip_eval
aoi_clip_eval 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
- Sep 3, 2024
- Updated
- Sep 10, 2024
- SHA
- cbce9cd9
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_eval
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:
- eval_loss: 6.0552
- eval_accuracy: 0.0276
- eval_runtime: 40.073
- eval_samples_per_second: 242.433
- eval_steps_per_second: 5.515
- step: 0
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
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- chinese_clip
- Created
- Sep 3, 2024
- Updated
- Sep 10, 2024