clip-mixer-big

This model is a fine-tuned version of clip-mixer-big on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1063

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
1.5067 1.0 68750 1.6837
1.1444 2.0 137500 1.3133
0.7653 3.0 206250 1.1063

Framework versions

  • Transformers 4.32.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.1
  • Tokenizers 0.13.3
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