---
license: cc0-1.0
tags:
- automatic-speech-recognition
- marinone94/nst_sv
- generated_from_trainer
datasets:
- nst_sv
model-index:
- name: ''
  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. -->

# 

This model is a fine-tuned version of [KBLab/wav2vec2-large-voxrex](https://huggingface.co/KBLab/wav2vec2-large-voxrex) on the MARINONE94/NST_SV - DISTANT_CHANNEL dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 1.0

## 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: 0.00075
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 2.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 3.4039        | 0.05  | 100  | inf             | 1.0 |
| 3.4396        | 0.11  | 200  | inf             | 1.0 |
| 3.483         | 0.16  | 300  | inf             | 1.0 |
| 3.5014        | 0.21  | 400  | inf             | 1.0 |
| 3.331         | 0.27  | 500  | inf             | 1.0 |
| 3.4809        | 0.32  | 600  | inf             | 1.0 |
| 3.4678        | 0.37  | 700  | inf             | 1.0 |
| 3.4596        | 0.43  | 800  | inf             | 1.0 |
| 3.4644        | 0.48  | 900  | inf             | 1.0 |
| 3.4671        | 0.53  | 1000 | inf             | 1.0 |
| 3.6005        | 0.59  | 1100 | inf             | 1.0 |
| 3.9182        | 0.64  | 1200 | inf             | 1.0 |
| 3.6466        | 0.69  | 1300 | inf             | 1.0 |
| 3.6932        | 0.75  | 1400 | inf             | 1.0 |
| 3.7939        | 0.8   | 1500 | inf             | 1.0 |
| 3.9284        | 0.85  | 1600 | inf             | 1.0 |
| 3.7859        | 0.91  | 1700 | inf             | 1.0 |
| 3.9363        | 0.96  | 1800 | inf             | 1.0 |
| 3.7573        | 1.01  | 1900 | inf             | 1.0 |
| 3.7553        | 1.07  | 2000 | inf             | 1.0 |
| 3.7606        | 1.12  | 2100 | inf             | 1.0 |
| 3.7514        | 1.17  | 2200 | inf             | 1.0 |
| 3.7472        | 1.23  | 2300 | inf             | 1.0 |
| 3.7478        | 1.28  | 2400 | inf             | 1.0 |
| 3.7496        | 1.33  | 2500 | inf             | 1.0 |
| 3.7513        | 1.39  | 2600 | inf             | 1.0 |
| 3.7497        | 1.44  | 2700 | inf             | 1.0 |
| 3.7539        | 1.49  | 2800 | inf             | 1.0 |
| 3.7581        | 1.55  | 2900 | inf             | 1.0 |
| 3.7572        | 1.6   | 3000 | inf             | 1.0 |
| 3.7589        | 1.66  | 3100 | inf             | 1.0 |
| 3.7592        | 1.71  | 3200 | inf             | 1.0 |
| 3.7531        | 1.76  | 3300 | inf             | 1.0 |
| 3.7567        | 1.82  | 3400 | inf             | 1.0 |
| 3.7613        | 1.87  | 3500 | inf             | 1.0 |
| 3.7516        | 1.92  | 3600 | inf             | 1.0 |
| 3.7581        | 1.98  | 3700 | inf             | 1.0 |


### Framework versions

- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0