| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | base_model: openai/whisper-large-v2 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: BA_Model_V3 |
| | 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. --> |
| |
|
| | # BA_Model_V3 |
| |
|
| | 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: |
| | - Loss: 0.3495 |
| | - Wer: 21.1224 |
| | - Cer: 12.2080 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine_with_restarts |
| | - lr_scheduler_warmup_ratio: 0.2 |
| | - num_epochs: 8 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | | 1.0358 | 1.0 | 278 | 0.6770 | 23.3686 | 13.9275 | |
| | | 0.2753 | 2.0 | 556 | 0.3313 | 20.7071 | 12.0535 | |
| | | 0.2109 | 3.0 | 834 | 0.3098 | 20.7204 | 12.1752 | |
| | | 0.1603 | 4.0 | 1112 | 0.3129 | 20.4645 | 11.8444 | |
| | | 0.1224 | 5.0 | 1390 | 0.3242 | 20.8034 | 12.0535 | |
| | | 0.0956 | 6.0 | 1668 | 0.3353 | 20.7802 | 11.9894 | |
| | | 0.0781 | 7.0 | 1946 | 0.3464 | 21.0659 | 12.1725 | |
| | | 0.0716 | 8.0 | 2224 | 0.3495 | 21.1224 | 12.2080 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
