
<!-- 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 Small Custom - Mattia Colbertaldo

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Mattia's Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8726
- Wer: 0.0

## 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: 10
- training_steps: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 2.1417        | 10.0  | 10   | 3.0808          | 0.0     |
| 0.6544        | 20.0  | 20   | 1.2364          | 57.1429 |
| 0.4179        | 30.0  | 30   | 1.0541          | 57.1429 |
| 0.3622        | 40.0  | 40   | 0.9383          | 1000.0  |
| 0.3339        | 50.0  | 50   | 0.8726          | 0.0     |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"language": ["en"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Custom - Mattia Colbertaldo", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer en base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us