---
license: apache-2.0
tags:
- automatic-speech-recognition
- experiments/data/atcosim_uwb_atcc/train
- generated_from_trainer
metrics:
- wer
model-index:
- name: 0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the EXPERIMENTS/DATA/ATCOSIM_UWB_ATCC/TRAIN - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5595
- Wer: 0.1687

## 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| No log        | 0.63  | 500   | 3.0458          | 1.0    |
| 2.9181        | 1.27  | 1000  | 1.1503          | 0.4723 |
| 2.9181        | 1.9   | 1500  | 0.8275          | 0.3500 |
| 0.7646        | 2.53  | 2000  | 0.6990          | 0.2845 |
| 0.7646        | 3.17  | 2500  | 0.5828          | 0.2509 |
| 0.5394        | 3.8   | 3000  | 0.5363          | 0.2487 |
| 0.5394        | 4.44  | 3500  | 0.5467          | 0.2171 |
| 0.4558        | 5.07  | 4000  | 0.5290          | 0.2090 |
| 0.4558        | 5.7   | 4500  | 0.4992          | 0.2046 |
| 0.3773        | 6.34  | 5000  | 0.4934          | 0.2052 |
| 0.3773        | 6.97  | 5500  | 0.4700          | 0.1983 |
| 0.3301        | 7.6   | 6000  | 0.4938          | 0.1874 |
| 0.3301        | 8.24  | 6500  | 0.5364          | 0.1893 |
| 0.2938        | 8.87  | 7000  | 0.5170          | 0.1830 |
| 0.2938        | 9.51  | 7500  | 0.5408          | 0.1815 |
| 0.2674        | 10.14 | 8000  | 0.5581          | 0.1733 |
| 0.2674        | 10.77 | 8500  | 0.5389          | 0.1719 |
| 0.24          | 11.41 | 9000  | 0.5344          | 0.1714 |
| 0.24          | 12.04 | 9500  | 0.5503          | 0.1686 |
| 0.211         | 12.67 | 10000 | 0.5595          | 0.1687 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.2