| 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: 0.0380 | |
| - 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 | |