---
license: mit
tags:
- generated_from_trainer
model-index:
- name: git-base-test4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# git-base-test4

This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co./microsoft/git-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0581
- eval_wer_score: 22.3272
- eval_rouge_score: 0.0358
- eval_bert_score: 0.7505
- eval_runtime: 30.8999
- eval_samples_per_second: 3.495
- eval_steps_per_second: 0.453
- epoch: 8.76
- step: 1200

## 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