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---
library_name: transformers
language:
- te
base_model: openai/whisper-small-v5
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: Whisper Small Te - Prashanth Kattoju
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 17
type: mozilla-foundation/common_voice_17_0
config: te
split: test
args: te
metrics:
- name: Wer
type: wer
value: 10.622710622710622
---
<!-- 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 Te - Prashanth Kattoju
This model is a fine-tuned version of [openai/whisper-small-v5](https://huggingface.co/openai/whisper-small-v5) on the Common Voice 17 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0948
- Wer Ortho: 32.4176
- Wer: 10.6227
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 1500
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
| 1.4434 | 0.4338 | 50 | 0.9813 | 101.6484 | 70.6960 |
| 0.6517 | 0.8677 | 100 | 0.4498 | 81.8681 | 31.6850 |
| 0.3973 | 1.2950 | 150 | 0.3015 | 75.2747 | 28.3883 |
| 0.2864 | 1.7289 | 200 | 0.1763 | 65.9341 | 23.4432 |
| 0.1998 | 2.1562 | 250 | 0.1545 | 59.3407 | 21.2454 |
| 0.1631 | 2.5900 | 300 | 0.1231 | 53.2967 | 19.4139 |
| 0.1368 | 3.0174 | 350 | 0.1128 | 50.0 | 20.3297 |
| 0.0823 | 3.4512 | 400 | 0.1249 | 48.3516 | 16.6667 |
| 0.0795 | 3.8850 | 450 | 0.1094 | 48.3516 | 18.6813 |
| 0.0486 | 4.3124 | 500 | 0.1131 | 43.9560 | 17.7656 |
| 0.0386 | 4.7462 | 550 | 0.1044 | 43.9560 | 15.7509 |
| 0.0275 | 5.1735 | 600 | 0.1020 | 35.1648 | 16.3004 |
| 0.0323 | 5.6074 | 650 | 0.1050 | 43.4066 | 15.9341 |
| 0.0257 | 6.0347 | 700 | 0.1067 | 39.0110 | 14.6520 |
| 0.0196 | 6.4685 | 750 | 0.1096 | 39.0110 | 13.9194 |
| 0.0231 | 6.9024 | 800 | 0.1158 | 41.2088 | 14.8352 |
| 0.0213 | 7.3297 | 850 | 0.0915 | 39.0110 | 15.3846 |
| 0.0142 | 7.7636 | 900 | 0.1107 | 41.2088 | 15.3846 |
| 0.0129 | 8.1909 | 950 | 0.1132 | 37.9121 | 14.4689 |
| 0.01 | 8.6247 | 1000 | 0.1190 | 35.7143 | 13.7363 |
| 0.0123 | 9.0521 | 1050 | 0.1081 | 37.9121 | 14.4689 |
| 0.0144 | 9.4859 | 1100 | 0.1086 | 39.0110 | 14.2857 |
| 0.0115 | 9.9197 | 1150 | 0.1021 | 37.9121 | 16.6667 |
| 0.0097 | 10.3471 | 1200 | 0.0998 | 34.0659 | 14.1026 |
| 0.0075 | 10.7809 | 1250 | 0.0976 | 28.5714 | 10.8059 |
| 0.0062 | 11.2082 | 1300 | 0.1252 | 34.6154 | 12.6374 |
| 0.0081 | 11.6421 | 1350 | 0.1029 | 31.3187 | 13.7363 |
| 0.0058 | 12.0694 | 1400 | 0.0986 | 34.6154 | 11.9048 |
| 0.0092 | 12.5033 | 1450 | 0.1020 | 32.9670 | 13.7363 |
| 0.0047 | 12.9371 | 1500 | 0.0948 | 32.4176 | 10.6227 |
### Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0
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