---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_checkpoints2
  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_checkpoints2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2958
- Wer: 0.0880

## 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: 24
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0051        | 0.52  | 500  | 0.2561          | 1.0    |
| 0.0074        | 1.04  | 1000 | 0.2729          | 0.1058 |
| 0.0076        | 1.56  | 1500 | 0.2769          | 0.0959 |
| 0.003         | 2.08  | 2000 | 0.2745          | 0.0954 |
| 0.0027        | 2.6   | 2500 | 0.2838          | 0.0877 |
| 0.0021        | 3.12  | 3000 | 0.2883          | 0.0880 |
| 0.0021        | 3.64  | 3500 | 0.2938          | 0.0910 |
| 0.0018        | 4.16  | 4000 | 0.2958          | 0.0880 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.15.2