---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mst_1
  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. -->

# mst_1

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0038
- Wer: 0.9915

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 11.0362       | 1.15  | 500  | 2.7219          | 1.0    |
| 1.9536        | 2.29  | 1000 | 0.5060          | 2.0274 |
| 0.2347        | 3.44  | 1500 | 0.0268          | 1.0462 |
| 0.0633        | 4.59  | 2000 | 0.0078          | 1.0    |
| 0.0359        | 5.73  | 2500 | 0.0047          | 0.9949 |
| 0.014         | 6.88  | 3000 | 0.0038          | 0.9915 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2