---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: dgx1_whisper_base_finetune_teacher_no_noise_mozilla_100_epochs_batch_8
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dgx1_whisper_base_finetune_teacher_no_noise_mozilla_100_epochs_batch_8

This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9169
- Wer: 31.4602

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2713        | 14.7  | 500  | 0.7014          | 33.4447 |
| 0.3607        | 29.41 | 1000 | 0.8578          | 34.2037 |
| 0.0171        | 44.12 | 1500 | 0.9436          | 33.6293 |
| 0.0035        | 58.82 | 2000 | 0.9271          | 31.8954 |
| 0.0           | 73.53 | 2500 | 0.9195          | 31.5264 |
| 0.0           | 88.23 | 3000 | 0.9169          | 31.4602 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2