---
language:
- en
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ./whisper-large-cit-synth-do015-wd0-lr1e-06-1000
  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-large-cit-synth-do015-wd0-lr1e-06-1000

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the SF 1000 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3706
- Wer: 23.6647

## 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-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| No log        | 0.4444 | 25   | 0.7983          | 35.9064 |
| 0.967         | 0.8889 | 50   | 0.6724          | 32.3977 |
| 0.967         | 1.3333 | 75   | 0.5459          | 30.7602 |
| 0.6804        | 1.7778 | 100  | 0.4692          | 27.4854 |
| 0.6804        | 2.2222 | 125  | 0.4341          | 26.3548 |
| 0.5145        | 2.6667 | 150  | 0.4143          | 25.5361 |
| 0.5145        | 3.1111 | 175  | 0.4019          | 25.4191 |
| 0.4614        | 3.5556 | 200  | 0.3914          | 25.0292 |
| 0.4614        | 4.0    | 225  | 0.3879          | 24.4444 |
| 0.3891        | 4.4444 | 250  | 0.3835          | 24.6784 |
| 0.3891        | 4.8889 | 275  | 0.3794          | 24.6004 |
| 0.3765        | 5.3333 | 300  | 0.3772          | 24.0156 |
| 0.3765        | 5.7778 | 325  | 0.3745          | 23.4308 |
| 0.3511        | 6.2222 | 350  | 0.3726          | 23.5478 |
| 0.3511        | 6.6667 | 375  | 0.3713          | 23.5867 |
| 0.3307        | 7.1111 | 400  | 0.3706          | 23.4308 |
| 0.3307        | 7.5556 | 425  | 0.3699          | 23.1189 |
| 0.3176        | 8.0    | 450  | 0.3706          | 23.3918 |
| 0.3176        | 8.4444 | 475  | 0.3708          | 23.6647 |
| 0.31          | 8.8889 | 500  | 0.3706          | 23.6647 |


### Framework versions

- Transformers 4.42.3
- Pytorch 1.13.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1