---
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_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-E50_freq_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: 0.9857
- Cer: 25.4112

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 19.722        | 0.2580 | 200  | 10.6272         | 92.3226 |
| 9.1071        | 0.5160 | 400  | 4.8280          | 97.6034 |
| 4.6864        | 0.7741 | 600  | 5.1023          | 93.8381 |
| 4.894         | 1.0321 | 800  | 4.4428          | 92.8983 |
| 4.5268        | 1.2901 | 1000 | 4.4166          | 92.9864 |
| 4.4975        | 1.5481 | 1200 | 4.3971          | 92.8160 |
| 4.3905        | 1.8062 | 1400 | 4.2999          | 92.3931 |
| 4.0944        | 2.0642 | 1600 | 4.0658          | 89.2505 |
| 3.4243        | 2.3222 | 1800 | 3.5627          | 74.0073 |
| 2.5159        | 2.5802 | 2000 | 2.6364          | 54.6346 |
| 1.9341        | 2.8383 | 2200 | 2.1328          | 45.0070 |
| 1.4936        | 3.0963 | 2400 | 1.7956          | 41.7939 |
| 1.1786        | 3.3543 | 2600 | 1.4282          | 34.3163 |
| 1.0121        | 3.6123 | 2800 | 1.2753          | 30.2162 |
| 0.9051        | 3.8703 | 3000 | 1.2181          | 30.0164 |
| 0.7404        | 4.1284 | 3200 | 1.1032          | 29.0061 |
| 0.6383        | 4.3864 | 3400 | 1.0560          | 24.8884 |
| 0.609         | 4.6444 | 3600 | 0.9713          | 24.7063 |
| 0.5477        | 4.9024 | 3800 | 0.9857          | 25.4112 |


### Framework versions

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