---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Moroccan-Darija-STT-large-v1.6.13
  results: []
---

<!-- 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. -->

# Moroccan-Darija-STT-large-v1.6.13

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2877
- Wer: 95.9672
- Cer: 51.6612

## 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: 8
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      | Cer     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|
| 0.377         | 0.3553 | 60   | 0.2993          | 80.8986  | 39.0082 |
| 0.3482        | 0.7106 | 120  | 0.2687          | 85.6509  | 44.0940 |
| 0.2801        | 1.0711 | 180  | 0.2702          | 100.8450 | 54.9651 |
| 0.2925        | 1.4264 | 240  | 0.2717          | 83.8019  | 39.5098 |
| 0.3023        | 1.7816 | 300  | 0.2620          | 109.8143 | 62.4951 |
| 0.268         | 2.1421 | 360  | 0.2787          | 92.6623  | 49.6867 |
| 0.2583        | 2.4974 | 420  | 0.2800          | 85.2242  | 42.9488 |
| 0.2721        | 2.8527 | 480  | 0.2771          | 105.8986 | 59.2858 |
| 0.2384        | 3.2132 | 540  | 0.2897          | 95.5991  | 49.2306 |
| 0.2231        | 3.5685 | 600  | 0.2843          | 101.2132 | 58.2673 |
| 0.2495        | 3.9238 | 660  | 0.2877          | 95.9672  | 51.6612 |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0