---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2_300m
  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_300m

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: -1.7265
- Cer: 2.8268
- 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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_steps: 100
- num_epochs: 300
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Cer    | Wer |
|:-------------:|:--------:|:----:|:---------------:|:------:|:---:|
| -2.2058       | 16.6667  | 100  | -1.7563         | 2.7979 | 1.0 |
| -2.2553       | 33.3333  | 200  | -1.7904         | 2.8052 | 1.0 |
| -2.3332       | 50.0     | 300  | -1.8135         | 2.8289 | 1.0 |
| -2.3625       | 66.6667  | 400  | -1.7726         | 2.7791 | 1.0 |
| -2.3912       | 83.3333  | 500  | -1.7941         | 2.7467 | 1.0 |
| -2.4162       | 100.0    | 600  | -1.7979         | 2.7745 | 1.0 |
| -2.4141       | 116.6667 | 700  | -1.7517         | 2.7428 | 1.0 |
| -2.4383       | 133.3333 | 800  | -1.8364         | 2.9398 | 1.0 |
| -2.4441       | 150.0    | 900  | -1.7691         | 2.8856 | 1.0 |
| -2.4518       | 166.6667 | 1000 | -1.7509         | 2.7699 | 1.0 |
| -2.4653       | 183.3333 | 1100 | -1.7286         | 2.8175 | 1.0 |
| -2.4651       | 200.0    | 1200 | -1.7521         | 2.7321 | 1.0 |
| -2.4619       | 216.6667 | 1300 | -1.6761         | 2.7655 | 1.0 |
| -2.4649       | 233.3333 | 1400 | -1.6887         | 2.7880 | 1.0 |
| -2.4863       | 250.0    | 1500 | -1.7591         | 2.7745 | 1.0 |
| -2.472        | 266.6667 | 1600 | -1.7198         | 2.7464 | 1.0 |
| -2.477        | 283.3333 | 1700 | -1.7385         | 2.8616 | 1.0 |
| -2.4708       | 300.0    | 1800 | -1.7265         | 2.8268 | 1.0 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1