---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E10_freq
  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-E10_freq

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: 0.5460
- Cer: 14.6793

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 9.6681        | 0.2580 | 200  | 3.0566          | 61.6424 |
| 1.8046        | 0.5160 | 400  | 2.0731          | 44.9601 |
| 1.3046        | 0.7741 | 600  | 1.4756          | 36.8832 |
| 1.1537        | 1.0321 | 800  | 1.3063          | 32.3484 |
| 0.9218        | 1.2901 | 1000 | 1.0777          | 26.4215 |
| 0.8464        | 1.5481 | 1200 | 1.0670          | 27.6081 |
| 0.7727        | 1.8062 | 1400 | 0.9148          | 23.2906 |
| 0.6984        | 2.0642 | 1600 | 0.9548          | 24.3832 |
| 0.5856        | 2.3222 | 1800 | 0.9348          | 23.2965 |
| 0.5365        | 2.5802 | 2000 | 0.8671          | 22.4213 |
| 0.5223        | 2.8383 | 2200 | 0.8267          | 20.7766 |
| 0.4623        | 3.0963 | 2400 | 0.7185          | 18.1450 |
| 0.3774        | 3.3543 | 2600 | 0.7324          | 19.4784 |
| 0.3467        | 3.6123 | 2800 | 0.6037          | 15.8012 |
| 0.3195        | 3.8703 | 3000 | 0.6357          | 16.4767 |
| 0.2759        | 4.1284 | 3200 | 0.6200          | 16.5237 |
| 0.2241        | 4.3864 | 3400 | 0.5901          | 15.4781 |
| 0.2211        | 4.6444 | 3600 | 0.5591          | 14.9436 |
| 0.2087        | 4.9024 | 3800 | 0.5460          | 14.6793 |


### Framework versions

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