transformers tensorboard safetensors whisper automatic-speech-recognition whisper-event generated_from_trainer dataset:google/fleurs base_model:arun100/whisper-small-fa-2 license:apache-2.0 model-index endpoints_compatible region:us
---
license: apache-2.0
base_model: arun100/whisper-small-fa-2
tags:
- whisper-event
- generated_from_trainer
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Small Persian Iranian
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: google/fleurs fa_ir
      type: google/fleurs
      config: fa_ir
      split: test
      args: fa_ir
    metrics:
    - name: Wer
      type: wer
      value: 26.412935323383085
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Persian Iranian

This model is a fine-tuned version of [arun100/whisper-small-fa-2](https://huggingface.co/arun100/whisper-small-fa-2) on the google/fleurs fa_ir dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3192
- Wer: 26.4129

## 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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0865        | 43.0  | 500  | 0.3192          | 26.4129 |
| 0.008         | 86.0  | 1000 | 0.3816          | 27.0149 |
| 0.0033        | 130.0 | 1500 | 0.4108          | 27.2289 |
| 0.0019        | 173.0 | 2000 | 0.4313          | 27.4030 |
| 0.0013        | 217.0 | 2500 | 0.4479          | 27.5323 |
| 0.001         | 260.0 | 3000 | 0.4612          | 27.5423 |
| 0.0008        | 304.0 | 3500 | 0.4719          | 27.7861 |
| 0.0006        | 347.0 | 4000 | 0.4802          | 27.9900 |
| 0.0006        | 391.0 | 4500 | 0.4859          | 27.9502 |
| 0.0005        | 434.0 | 5000 | 0.4882          | 27.9154 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
