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

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: 1.1898
- Cer: 31.1501

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 10.7019       | 0.2580 | 200  | 5.2871          | 100.0   |
| 2.9862        | 0.5160 | 400  | 2.5816          | 61.0021 |
| 1.4741        | 0.7741 | 600  | 2.3005          | 54.0120 |
| 1.1621        | 1.0321 | 800  | 1.7372          | 43.0569 |
| 0.9078        | 1.2901 | 1000 | 1.5138          | 38.3459 |
| 0.8152        | 1.5481 | 1200 | 1.5787          | 43.2566 |
| 0.7734        | 1.8062 | 1400 | 1.5237          | 40.7307 |
| 0.639         | 2.0642 | 1600 | 1.5034          | 37.8759 |
| 0.5611        | 2.3222 | 1800 | 1.4911          | 38.7277 |
| 0.5272        | 2.5802 | 2000 | 1.3679          | 37.0418 |
| 0.4739        | 2.8383 | 2200 | 1.5056          | 41.7469 |
| 0.4307        | 3.0963 | 2400 | 1.2907          | 34.7568 |
| 0.3732        | 3.3543 | 2600 | 1.4109          | 36.4250 |
| 0.3388        | 3.6123 | 2800 | 1.3857          | 37.1299 |
| 0.3089        | 3.8703 | 3000 | 1.2816          | 33.6760 |
| 0.2648        | 4.1284 | 3200 | 1.2267          | 32.7596 |
| 0.2299        | 4.3864 | 3400 | 1.2182          | 32.3896 |
| 0.2108        | 4.6444 | 3600 | 1.1818          | 31.1090 |
| 0.2055        | 4.9024 | 3800 | 1.1898          | 31.1501 |


### Framework versions

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