| | --- |
| | license: apache-2.0 |
| | tags: |
| | - whisper-event |
| | - generated_from_trainer |
| | datasets: |
| | - language-and-voice-lab/samromur_asr |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper tiny Icelandic |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: language-and-voice-lab/samromur_asr |
| | type: language-and-voice-lab/samromur_asr |
| | config: samromur_asr |
| | split: validation |
| | args: samromur_asr |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 53.125 |
| | --- |
| | |
| | <!-- 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 tiny Icelandic |
| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the language-and-voice-lab/samromur_asr dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8061 |
| | - Wer: 53.125 |
| | |
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - training_steps: 1000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 1.4531 | 0.25 | 250 | 1.5444 | 88.0 | |
| | | 0.8932 | 0.5 | 500 | 1.0078 | 62.0 | |
| | | 0.7225 | 0.75 | 750 | 0.8466 | 53.625 | |
| | | 0.6828 | 1.0 | 1000 | 0.8061 | 53.125 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.1 |
| | - Pytorch 1.13.1 |
| | - Datasets 2.10.0 |
| | - Tokenizers 0.13.2 |
| | |
