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: 0.0581
- 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