| --- |
| language: |
| - en |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - librispeech_asr |
| metrics: |
| - wer |
| model-index: |
| - name: SpeechGPT |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: librispeech_asr |
| type: librispeech_asr |
| config: clean |
| split: None |
| args: 'config: clean, split: train' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 2.8092665855143033 |
| --- |
| |
| <!-- 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. --> |
|
|
| # SpeechGPT |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech_asr dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0813 |
| - Wer: 2.8093 |
| |
| ## 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: 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: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.0956 | 0.12 | 1000 | 0.1065 | 3.6519 | |
| | 0.1002 | 0.24 | 2000 | 0.0997 | 3.5453 | |
| | 0.0841 | 0.36 | 3000 | 0.0941 | 3.3057 | |
| | 0.0839 | 0.48 | 4000 | 0.0905 | 3.1783 | |
| | 0.0821 | 0.6 | 5000 | 0.0855 | 2.9595 | |
| | 0.0626 | 0.72 | 6000 | 0.0839 | 2.9310 | |
| | 0.0643 | 0.84 | 7000 | 0.0821 | 2.8112 | |
| | 0.0908 | 0.97 | 8000 | 0.0813 | 2.8093 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.39.3 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.15.2 |
| |
