| --- |
| language: |
| - en |
| license: apache-2.0 |
| base_model: openai/whisper-large-v3 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: ./whisper-large-cit-synth-do0.15-wd0-lr1e-05-spelled |
| 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. --> |
|
|
| # ./whisper-large-cit-synth-do0.15-wd0-lr1e-05-spelled |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the SF 200 synth 2000 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3516 |
| - Wer: 15.7077 |
|
|
| ## 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: 4 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 100 |
| - training_steps: 300 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.2758 | 0.4040 | 50 | 0.2947 | 19.0194 | |
| | 0.1631 | 0.8081 | 100 | 0.2827 | 19.4450 | |
| | 0.0654 | 1.2121 | 150 | 0.2808 | 16.7253 | |
| | 0.0576 | 1.6162 | 200 | 0.2795 | 15.5597 | |
| | 0.045 | 2.0202 | 250 | 0.3022 | 15.5042 | |
| | 0.0163 | 2.4242 | 300 | 0.3516 | 15.7077 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.2 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
| |
