Model save
Browse files- README.md +72 -0
- model.safetensors +1 -1
README.md
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---
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base_model: OFA-Sys/chinese-clip-vit-base-patch16
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: aoi_clip_high_resolution_concate_fusin_crop_each_text_256
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/shark_meow_team/huggingface/runs/e9k68fjg)
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# aoi_clip_high_resolution_concate_fusin_crop_each_text_256
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This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.5401
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- Accuracy: 0.0640
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 20
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- eval_batch_size: 20
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- seed: 42
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- gradient_accumulation_steps: 10
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- total_train_batch_size: 200
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 60.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:-----:|:---------------:|:--------:|
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| 1.7271 | 5.9821 | 1602 | 3.0070 | 0.0789 |
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| 1.6271 | 11.9642 | 3204 | 3.1514 | 0.0732 |
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| 1.552 | 17.9462 | 4806 | 3.1511 | 0.0705 |
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| 1.5094 | 23.9283 | 6408 | 3.3706 | 0.0684 |
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| 1.484 | 29.9104 | 8010 | 3.4197 | 0.0672 |
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| 1.4683 | 35.8925 | 9612 | 3.5270 | 0.0666 |
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| 1.4567 | 41.8745 | 11214 | 3.4933 | 0.0658 |
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| 1.4541 | 47.8566 | 12816 | 3.4874 | 0.0653 |
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| 1.4539 | 53.8387 | 14418 | 3.5305 | 0.0646 |
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| 1.452 | 59.8208 | 16020 | 3.5401 | 0.0640 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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size 1163503964
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version https://git-lfs.github.com/spec/v1
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size 1163503964
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