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

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: 1.3032
- Cer: 30.4276

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 8.4175        | 0.2581 | 200  | 3.4467          | 71.5695 |
| 1.5788        | 0.5161 | 400  | 2.0587          | 46.5226 |
| 1.0864        | 0.7742 | 600  | 1.9065          | 46.5108 |
| 0.8759        | 1.0323 | 800  | 1.6587          | 42.8924 |
| 0.7067        | 1.2903 | 1000 | 1.4755          | 40.9951 |
| 0.615         | 1.5484 | 1200 | 1.6840          | 43.0510 |
| 0.5547        | 1.8065 | 1400 | 1.7452          | 43.5620 |
| 0.5415        | 2.0645 | 1600 | 1.7313          | 42.6516 |
| 0.437         | 2.3226 | 1800 | 1.5706          | 40.1316 |
| 0.4045        | 2.5806 | 2000 | 1.2070          | 32.2427 |
| 0.3736        | 2.8387 | 2200 | 1.4442          | 37.0007 |
| 0.3264        | 3.0968 | 2400 | 1.2398          | 31.9549 |
| 0.2651        | 3.3548 | 2600 | 1.4558          | 35.4558 |
| 0.2621        | 3.6129 | 2800 | 1.2838          | 32.6363 |
| 0.23          | 3.8710 | 3000 | 1.4202          | 33.7935 |
| 0.208         | 4.1290 | 3200 | 1.2976          | 31.2970 |
| 0.1781        | 4.3871 | 3400 | 1.3553          | 32.2310 |
| 0.1628        | 4.6452 | 3600 | 1.3637          | 32.0489 |
| 0.1573        | 4.9032 | 3800 | 1.3032          | 30.4276 |


### Framework versions

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