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git-base-pokemon

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metadata
license: mit
base_model: microsoft/git-base
tags:
  - generated_from_trainer
datasets:
  - imagefolder
model-index:
  - name: git-base-pokemon
    results: []

git-base-pokemon

This model is a fine-tuned version of microsoft/git-base on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1481
  • Wer Score: 7.2150

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Score
0.0359 3.12 50 0.1192 0.8131
0.0174 6.25 100 0.1257 3.0654
0.0132 9.38 150 0.1283 0.7850
0.011 12.5 200 0.1297 1.4112
0.0095 15.62 250 0.1332 5.1028
0.0083 18.75 300 0.1376 5.5701
0.0077 21.88 350 0.1368 0.7944
0.0068 25.0 400 0.1366 5.6168
0.0061 28.12 450 0.1417 4.4299
0.0057 31.25 500 0.1406 6.6636
0.0047 34.38 550 0.1438 7.3738
0.0038 37.5 600 0.1448 7.6262
0.0032 40.62 650 0.1468 9.0841
0.0027 43.75 700 0.1473 6.8598
0.0024 46.88 750 0.1480 7.3178
0.0021 50.0 800 0.1481 7.2150

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1