---
language:
- mn
license: apache-2.0
base_model: openai/whisper-large
tags:
- generated_from_trainer
model-index:
- name: Whisper_Large_Mongolian
  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_Large_Mongolian

This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large).
It achieves the following results on the evaluation set:
- eval_loss: 0.3309
- eval_wer: 29.1925
- eval_runtime: 1202.8614
- eval_samples_per_second: 1.539
- eval_steps_per_second: 0.193
- epoch: 5.64
- step: 3000


## 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

### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.0
- Datasets 2.18.0
- Tokenizers 0.15.2