---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E50_freq_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-E50_freq_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: 0.5279
- Cer: 15.9833

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 27.5942       | 0.2580 | 200  | 15.1915         | 93.3799 |
| 4.8195        | 0.5160 | 400  | 5.0466          | 93.8381 |
| 4.6163        | 0.7741 | 600  | 4.6972          | 93.6149 |
| 4.4212        | 1.0321 | 800  | 4.1616          | 89.2270 |
| 3.6842        | 1.2901 | 1000 | 2.4339          | 49.4596 |
| 1.7035        | 1.5481 | 1200 | 1.3759          | 31.8550 |
| 1.1079        | 1.8062 | 1400 | 1.1419          | 29.9460 |
| 0.8743        | 2.0642 | 1600 | 1.0240          | 27.7256 |
| 0.6885        | 2.3222 | 1800 | 0.9708          | 28.9356 |
| 0.6163        | 2.5802 | 2000 | 0.8797          | 27.3555 |
| 0.5719        | 2.8383 | 2200 | 0.7727          | 24.1835 |
| 0.4769        | 3.0963 | 2400 | 0.7156          | 23.4962 |
| 0.384         | 3.3543 | 2600 | 0.6899          | 20.6180 |
| 0.3428        | 3.6123 | 2800 | 0.6663          | 21.0291 |
| 0.3288        | 3.8703 | 3000 | 0.5853          | 20.8353 |
| 0.2779        | 4.1284 | 3200 | 0.5770          | 18.0980 |
| 0.23          | 4.3864 | 3400 | 0.5491          | 16.7058 |
| 0.2244        | 4.6444 | 3600 | 0.5386          | 16.0538 |
| 0.2006        | 4.9024 | 3800 | 0.5279          | 15.9833 |


### Framework versions

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