| library_name: transformers | |
| license: apache-2.0 | |
| base_model: openai/whisper-large-v2 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: second2 | |
| 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. --> | |
| # second2 | |
| This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.2553 | |
| - eval_cer: 3.9437 | |
| - eval_wer: 13.3115 | |
| - eval_bleu: 0.7447 | |
| - eval_runtime: 981.1698 | |
| - eval_samples_per_second: 0.936 | |
| - eval_steps_per_second: 0.234 | |
| - epoch: 0.96 | |
| - step: 4500 | |
| ## 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: 1e-05 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 4 | |
| - seed: 420 | |
| - gradient_accumulation_steps: 8 | |
| - total_train_batch_size: 64 | |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 2 | |
| - training_steps: 10500 | |
| - mixed_precision_training: Native AMP | |
| ### Framework versions | |
| - Transformers 4.52.0 | |
| - Pytorch 2.9.1+cu126 | |
| - Datasets 3.6.0 | |
| - Tokenizers 0.21.4 | |