git-base-test4 / README.md
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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: git-base-test4
    results: []

git-base-test4

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

  • eval_loss: 0.0380
  • eval_wer_score: 18.3045
  • eval_rouge_score: 0.0639
  • eval_bert_score: 0.7613
  • eval_runtime: 33.2248
  • eval_samples_per_second: 3.431
  • eval_steps_per_second: 0.451
  • epoch: 28.71
  • step: 3000

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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.13.3