---
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: []
---

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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-large-960h-lv60-self](https://huggingface.co/facebook/wav2vec2-large-960h-lv60-self) on the EXPERIMENTS/DATA/UWB_ATCC/TRAIN - NA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7287
- Wer: 0.1756

## 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   | 2.9016          | 0.9995 |
| 2.877         | 2.12  | 1000  | 0.9812          | 0.3485 |
| 2.877         | 3.18  | 1500  | 0.7842          | 0.2732 |
| 0.7834        | 4.25  | 2000  | 0.6962          | 0.2192 |
| 0.7834        | 5.31  | 2500  | 0.6527          | 0.2042 |
| 0.6084        | 6.37  | 3000  | 0.6220          | 0.1972 |
| 0.6084        | 7.43  | 3500  | 0.6442          | 0.1934 |
| 0.5147        | 8.49  | 4000  | 0.6793          | 0.1950 |
| 0.5147        | 9.55  | 4500  | 0.6432          | 0.1920 |
| 0.4566        | 10.62 | 5000  | 0.6605          | 0.1853 |
| 0.4566        | 11.68 | 5500  | 0.6393          | 0.1866 |
| 0.4155        | 12.74 | 6000  | 0.6918          | 0.1803 |
| 0.4155        | 13.8  | 6500  | 0.6514          | 0.1791 |
| 0.372         | 14.86 | 7000  | 0.7010          | 0.1851 |
| 0.372         | 15.92 | 7500  | 0.6824          | 0.1786 |
| 0.3368        | 16.99 | 8000  | 0.6895          | 0.1780 |
| 0.3368        | 18.05 | 8500  | 0.7150          | 0.1759 |
| 0.3244        | 19.11 | 9000  | 0.7141          | 0.1759 |
| 0.3244        | 20.17 | 9500  | 0.7225          | 0.1756 |
| 0.2981        | 21.23 | 10000 | 0.7287          | 0.1756 |


### Framework versions

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