---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E30_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-E30_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: 0.5758
- Cer: 14.7028

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 16.6326       | 0.2580 | 200  | 4.7434          | 100.0   |
| 4.6388        | 0.5160 | 400  | 3.9414          | 88.5926 |
| 2.026         | 0.7741 | 600  | 1.7935          | 41.2711 |
| 1.1754        | 1.0321 | 800  | 1.2455          | 29.8990 |
| 0.8337        | 1.2901 | 1000 | 1.0037          | 25.8047 |
| 0.7399        | 1.5481 | 1200 | 0.9414          | 23.3846 |
| 0.6535        | 1.8062 | 1400 | 0.8053          | 21.4344 |
| 0.544         | 2.0642 | 1600 | 0.9218          | 23.1673 |
| 0.4264        | 2.3222 | 1800 | 0.8181          | 20.7354 |
| 0.387         | 2.5802 | 2000 | 0.7663          | 19.5900 |
| 0.3623        | 2.8383 | 2200 | 0.7863          | 20.2420 |
| 0.3416        | 3.0963 | 2400 | 0.8668          | 22.5975 |
| 0.2731        | 3.3543 | 2600 | 0.7251          | 18.6501 |
| 0.2394        | 3.6123 | 2800 | 0.6185          | 16.2183 |
| 0.2255        | 3.8703 | 3000 | 0.5926          | 15.5839 |
| 0.1874        | 4.1284 | 3200 | 0.5889          | 15.3900 |
| 0.1549        | 4.3864 | 3400 | 0.5765          | 15.1375 |
| 0.1514        | 4.6444 | 3600 | 0.5856          | 14.8614 |
| 0.1424        | 4.9024 | 3800 | 0.5758          | 14.7028 |


### Framework versions

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