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---
library_name: peft
language:
- ne
license: apache-2.0
base_model: kiranpantha/whisper-large-v3-nepali
tags:
- generated_from_trainer
datasets:
- kiranpantha/OpenSLR54-Balanced-Nepali
model-index:
- name: kiranpantha/whisper-large-v3-nepali
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. -->
# kiranpantha/whisper-large-v3-nepali
This model is a fine-tuned version of [kiranpantha/whisper-large-v3-nepali](https://huggingface.co/kiranpantha/whisper-large-v3-nepali) on the OpenSLR54 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3578
## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 14 | 0.5332 |
| 0.6708 | 2.0 | 28 | 0.3814 |
| 0.6708 | 3.0 | 42 | 0.3421 |
| 0.1637 | 4.0 | 56 | 0.3787 |
| 0.1637 | 5.0 | 70 | 0.3883 |
| 0.0931 | 6.0 | 84 | 0.6882 |
| 0.0931 | 7.0 | 98 | 0.3555 |
| 0.1984 | 8.0 | 112 | 0.3332 |
| 0.0315 | 9.0 | 126 | 0.3568 |
| 0.0315 | 10.0 | 140 | 0.3578 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cxx11.abi
- Datasets 3.2.0
- Tokenizers 0.21.0 |