Edit model card

Visualize in Weights & Biases

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
Downloads last month
0
Safetensors
Model size
291M params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Model tree for sharkMeow/aoi_clip_clean_new_sampler

Finetuned
(31)
this model