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---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-large-v3-turbo
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: whisper-large-v3-turbo-Telugu-Version1
results: []
language:
- te
pipeline_tag: automatic-speech-recognition
---
<!-- 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-large-v3-turbo-Telugu-Version1
This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8897
- Wer: 103.8462
## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 1000
- training_steps: 20000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:---------:|:-----:|:---------------:|:--------:|
| 0.0234 | 142.8571 | 2000 | 0.4991 | 98.3516 |
| 0.0024 | 285.7143 | 4000 | 0.6494 | 95.6044 |
| 0.0008 | 428.5714 | 6000 | 0.7260 | 95.0549 |
| 0.0004 | 571.4286 | 8000 | 0.7513 | 94.5055 |
| 0.0003 | 714.2857 | 10000 | 0.7775 | 95.0549 |
| 0.0002 | 857.1429 | 12000 | 0.8183 | 109.3407 |
| 0.0002 | 1000.0 | 14000 | 0.8304 | 92.3077 |
| 0.0001 | 1142.8571 | 16000 | 0.8528 | 96.1538 |
| 0.0001 | 1285.7143 | 18000 | 0.8839 | 100.0 |
| 0.0001 | 1428.5714 | 20000 | 0.8897 | 103.8462 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.1 |