---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E50
  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-E50

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: 0.5653
- Cer: 14.0038

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 10.3076       | 0.5161 | 200  | 3.6837          | 66.2829 |
| 1.6559        | 1.0323 | 400  | 1.1986          | 25.7695 |
| 0.9077        | 1.5484 | 600  | 0.9908          | 22.8912 |
| 0.7297        | 2.0645 | 800  | 0.7952          | 19.4549 |
| 0.5331        | 2.5806 | 1000 | 0.7366          | 18.3506 |
| 0.4468        | 3.0968 | 1200 | 0.7078          | 17.0465 |
| 0.3334        | 3.6129 | 1400 | 0.6080          | 15.1727 |
| 0.2825        | 4.1290 | 1600 | 0.5928          | 14.4796 |
| 0.2049        | 4.6452 | 1800 | 0.5653          | 14.0038 |


### Framework versions

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