---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-Yspeed_pause
  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. -->

# wav2vec2-1b-Yspeed_pause

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2373
- Cer: 33.3529

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 9.4479        | 0.2581 | 200  | 3.2207          | 66.0714 |
| 1.7868        | 0.5161 | 400  | 2.8650          | 64.3856 |
| 1.3863        | 0.7742 | 600  | 2.1014          | 51.3158 |
| 1.2139        | 1.0323 | 800  | 1.9113          | 48.1849 |
| 1.1064        | 1.2903 | 1000 | 1.8469          | 48.8193 |
| 0.9283        | 1.5484 | 1200 | 1.6672          | 43.8087 |
| 0.874         | 1.8065 | 1400 | 1.6412          | 44.4608 |
| 0.8219        | 2.0645 | 1600 | 1.7808          | 45.8882 |
| 0.7202        | 2.3226 | 1800 | 1.6440          | 43.6384 |
| 0.6672        | 2.5806 | 2000 | 1.5708          | 41.7411 |
| 0.6327        | 2.8387 | 2200 | 1.4854          | 42.5223 |
| 0.57          | 3.0968 | 2400 | 1.4387          | 39.2152 |
| 0.469         | 3.3548 | 2600 | 1.3790          | 38.0169 |
| 0.4253        | 3.6129 | 2800 | 1.4179          | 38.1520 |
| 0.398         | 3.8710 | 3000 | 1.2919          | 36.1020 |
| 0.3415        | 4.1290 | 3200 | 1.4286          | 37.2357 |
| 0.3044        | 4.3871 | 3400 | 1.4068          | 36.1666 |
| 0.2848        | 4.6452 | 3600 | 1.2308          | 33.3353 |
| 0.277         | 4.9032 | 3800 | 1.2373          | 33.3529 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1