---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E30_speed2
  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_speed2

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: 0.5694
- Cer: 15.0846

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 14.0019       | 0.2580 | 200  | 4.4372          | 96.3816 |
| 2.5022        | 0.5160 | 400  | 2.0994          | 52.6786 |
| 1.4318        | 0.7741 | 600  | 1.5913          | 40.9657 |
| 1.1099        | 1.0321 | 800  | 1.2436          | 29.9930 |
| 0.8555        | 1.2901 | 1000 | 1.0155          | 24.9530 |
| 0.8201        | 1.5481 | 1200 | 0.9694          | 24.3715 |
| 0.7405        | 1.8062 | 1400 | 0.9278          | 24.3480 |
| 0.6497        | 2.0642 | 1600 | 0.9973          | 25.2056 |
| 0.573         | 2.3222 | 1800 | 0.9353          | 23.7723 |
| 0.5129        | 2.5802 | 2000 | 0.8295          | 21.0115 |
| 0.4662        | 2.8383 | 2200 | 0.7473          | 18.8440 |
| 0.4075        | 3.0963 | 2400 | 0.7551          | 20.4182 |
| 0.3506        | 3.3543 | 2600 | 0.6929          | 18.4387 |
| 0.3115        | 3.6123 | 2800 | 0.6474          | 17.4636 |
| 0.3061        | 3.8703 | 3000 | 0.6699          | 17.4460 |
| 0.2554        | 4.1284 | 3200 | 0.6221          | 16.2418 |
| 0.2153        | 4.3864 | 3400 | 0.6394          | 16.9937 |
| 0.1994        | 4.6444 | 3600 | 0.6119          | 15.9833 |
| 0.1915        | 4.9024 | 3800 | 0.5694          | 15.0846 |


### Framework versions

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