aoi_clip_eval / README.md
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metadata
base_model: OFA-Sys/chinese-clip-vit-base-patch16
tags:
  - generated_from_trainer
model-index:
  - name: aoi_clip_eval
    results: []

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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