---
library_name: transformers
language:
- vi
license: apache-2.0
base_model: deepdml/whisper-large-v3-turbo
tags:
- generated_from_trainer
datasets:
- Nhom7/Fine_tune_whisper_practice
model-index:
- name: Fine_tune_whisper_practice - HDDL
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Fine_tune_whisper_practice - HDDL

This model is a fine-tuned version of [deepdml/whisper-large-v3-turbo](https://huggingface.co./deepdml/whisper-large-v3-turbo) on the Nhom7 dataset.

## 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: 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3