---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: large_config
  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. -->

# large_config

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2441
- Wer: 17.8570
- Cer: 8.0073

## 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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     | Cer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.5155        | 0.1   | 1000  | 0.4045          | 27.7845 | 12.1308 |
| 0.5436        | 1.02  | 2000  | 0.3784          | 27.0983 | 11.9181 |
| 0.265         | 1.12  | 3000  | 0.3227          | 22.8815 | 10.0236 |
| 0.4765        | 2.04  | 4000  | 0.3021          | 21.9744 | 9.6005  |
| 0.1818        | 2.14  | 5000  | 0.3002          | 21.0336 | 9.1830  |
| 0.4031        | 3.05  | 6000  | 0.2496          | 18.0914 | 7.9181  |
| 0.1991        | 3.15  | 7000  | 0.2971          | 21.7029 | 9.9984  |
| 0.3023        | 4.07  | 8000  | 0.2445          | 17.7946 | 7.9248  |
| 0.2185        | 4.17  | 9000  | 0.2842          | 20.3760 | 9.2891  |
| 0.2114        | 5.09  | 10000 | 0.2441          | 17.8570 | 8.0073  |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2