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---
library_name: transformers
license: apache-2.0
base_model: anggiatm/whisper-small-id
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-id-finetune
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. -->
# whisper-small-id-finetune
This model is a fine-tuned version of [anggiatm/whisper-small-id](https://huggingface.co/anggiatm/whisper-small-id) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1926
- Wer: 8.7727
## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.0065 | 6.0606 | 1000 | 0.1839 | 9.0201 |
| 0.0008 | 12.1212 | 2000 | 0.1849 | 8.3994 |
| 0.0005 | 18.1818 | 3000 | 0.1904 | 8.7634 |
| 0.0004 | 24.2424 | 4000 | 0.1926 | 8.7727 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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