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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: git-base-test3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# git-base-test3
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0608
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- eval_wer_score: 21.6785
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- eval_rouge_score: 0.0467
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- eval_bert_score: 0.7569
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- eval_runtime: 34.8187
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- eval_samples_per_second: 2.901
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- eval_steps_per_second: 0.373
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- epoch: 41.11
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- step: 50500
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 50
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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