---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-xls-r-300m
model-index:
- name: wav2vec2-xls-r-300m_phone-mfa_english
  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. -->

# wav2vec2-xls-r-300m_phone-mfa_english

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: 0.0777
- Per: 0.0169
- Learning Rate: 0.0

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Per    | Rate   |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 5.9243        | 1.0   | 892  | 2.9797          | 0.8601 | 5e-05  |
| 0.7497        | 2.0   | 1784 | 0.1314          | 0.0288 | 0.0001 |
| 0.2391        | 3.0   | 2676 | 0.0994          | 0.0229 | 0.0001 |
| 0.1839        | 4.0   | 3568 | 0.0905          | 0.0211 | 0.0001 |
| 0.1562        | 5.0   | 4460 | 0.0879          | 0.0197 | 0.0001 |
| 0.14          | 6.0   | 5352 | 0.0872          | 0.0186 | 5e-05  |
| 0.1256        | 7.0   | 6244 | 0.0827          | 0.0178 | 0.0000 |
| 0.1149        | 8.0   | 7136 | 0.0774          | 0.0173 | 0.0000 |
| 0.1083        | 9.0   | 8028 | 0.0786          | 0.0170 | 0.0000 |
| 0.1027        | 10.0  | 8920 | 0.0777          | 0.0169 | 0.0    |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1