---
license: apache-2.0
tags:
- automatic-speech-recognition
- experiments/data/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
should probably proofread and complete it, then remove this comment. -->

# 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/UWB_ATCC/TRAIN - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8470
- Wer: 0.1898

## 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        | 1.06  | 500   | 3.1697          | 1.0    |
| 3.1489        | 2.12  | 1000  | 1.4184          | 0.5678 |
| 3.1489        | 3.18  | 1500  | 0.8498          | 0.3366 |
| 0.8499        | 4.25  | 2000  | 0.8089          | 0.2755 |
| 0.8499        | 5.31  | 2500  | 0.7339          | 0.2963 |
| 0.5901        | 6.37  | 3000  | 0.6376          | 0.2402 |
| 0.5901        | 7.43  | 3500  | 0.6890          | 0.2336 |
| 0.4724        | 8.49  | 4000  | 0.6844          | 0.2240 |
| 0.4724        | 9.55  | 4500  | 0.6900          | 0.2222 |
| 0.3981        | 10.62 | 5000  | 0.7051          | 0.2123 |
| 0.3981        | 11.68 | 5500  | 0.6671          | 0.2095 |
| 0.3436        | 12.74 | 6000  | 0.7425          | 0.2049 |
| 0.3436        | 13.8  | 6500  | 0.7135          | 0.1994 |
| 0.2925        | 14.86 | 7000  | 0.7350          | 0.2012 |
| 0.2925        | 15.92 | 7500  | 0.7855          | 0.1945 |
| 0.2525        | 16.99 | 8000  | 0.7933          | 0.1946 |
| 0.2525        | 18.05 | 8500  | 0.8016          | 0.1915 |
| 0.2285        | 19.11 | 9000  | 0.8284          | 0.1907 |
| 0.2285        | 20.17 | 9500  | 0.8275          | 0.1902 |
| 0.2025        | 21.23 | 10000 | 0.8470          | 0.1898 |


### Framework versions

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