| --- |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - language-and-voice-lab/samromur_asr |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper tiy 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. --> |
|
|
| |
|
|
| 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 |
|
|
| |
|
|
| More information needed |
|
|
| |
|
|
| More information needed |
|
|
| |
|
|
| More information needed |
|
|
| |
|
|
| |
|
|
| 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 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 | |
|
|
|
|
| |
|
|
| - Transformers 4.26.1 |
| - Pytorch 1.13.1 |
| - Datasets 2.10.0 |
| - Tokenizers 0.13.2 |
|
|
