---
library_name: transformers
license: apache-2.0
base_model: deepdml/whisper-large-v3-turbo
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: output_dir
  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. -->

# output_dir

This model is a fine-tuned version of [deepdml/whisper-large-v3-turbo](https://huggingface.co./deepdml/whisper-large-v3-turbo) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4598
- Wer: 20.0

## 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: 64
- eval_batch_size: 16
- 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: 1
- training_steps: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer  |
|:-------------:|:-----:|:----:|:---------------:|:----:|
| 0.7947        | 1.0   | 1    | 1.4598          | 20.0 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.3.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0