---
library_name: transformers
license: apache-2.0
base_model: Baselhany/Graduation_Project_Distil_Whisper_base3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Graduation_Project_Distil_Whisper_base3
  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. -->

# Graduation_Project_Distil_Whisper_base3

This model is a fine-tuned version of [Baselhany/Graduation_Project_Distil_Whisper_base3](https://huggingface.co/Baselhany/Graduation_Project_Distil_Whisper_base3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1698
- Wer: 0.3720

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 500
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 1.4782        | 1.0     | 520  | 0.1344          | 0.4069 |
| 1.0405        | 2.0     | 1040 | 0.1495          | 0.4004 |
| 0.5482        | 3.0     | 1560 | 0.1573          | 0.3436 |
| 0.4041        | 4.0     | 2080 | 0.1587          | 0.4126 |
| 0.3115        | 5.0     | 2600 | 0.1569          | 0.3798 |
| 0.2612        | 6.0     | 3120 | 0.1515          | 0.4272 |
| 0.187         | 7.0     | 3640 | 0.1577          | 0.3917 |
| 0.1596        | 8.0     | 4160 | 0.1538          | 0.4334 |
| 0.1465        | 9.0     | 4680 | 0.1497          | 0.3771 |
| 0.1149        | 10.0    | 5200 | 0.1506          | 0.4192 |
| 0.0935        | 11.0    | 5720 | 0.1465          | 0.3974 |
| 0.0849        | 12.0    | 6240 | 0.1483          | 0.3979 |
| 0.0686        | 13.0    | 6760 | 0.1472          | 0.4237 |
| 0.0533        | 14.0    | 7280 | 0.1483          | 0.4251 |
| 0.0382        | 14.9726 | 7785 | 0.1498          | 0.4302 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1