| | --- |
| | language: |
| | - it |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | - whisper-event |
| | datasets: |
| | - mozilla-foundation/common_voice_11_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: whisper-tiny-it |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: mozilla-foundation/common_voice_11_0 it |
| | type: mozilla-foundation/common_voice_11_0 |
| | config: it |
| | split: test |
| | args: it |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 26.61 |
| | --- |
| | |
| | <!-- 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-it |
| |
|
| | This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the |
| | Common Voice 11 dataset. |
| |
|
| | Language: **Italian** |
| |
|
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3958 |
| | - Wer: 26.61 |
| |
|
| | ## 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: 64 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - total_train_batch_size: 256 |
| | - total_eval_batch_size: 128 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - training_steps: 3000 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 0.3997 | 1.68 | 1000 | 0.4651 | 0.3038 | |
| | | 0.3026 | 3.35 | 2000 | 0.4086 | 0.2743 | |
| | | 0.2874 | 5.03 | 3000 | 0.3958 | 0.2661 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.26.0.dev0 |
| | - Pytorch 1.13.0 |
| | - Datasets 2.7.1.dev0 |
| | - Tokenizers 0.13.2 |
| | |
