---
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_pause
  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_pause

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: 0.7622
- Cer: 19.5371

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 8.7376        | 0.2580 | 200  | 4.2865          | 79.6581 |
| 1.9384        | 0.5160 | 400  | 2.1712          | 51.7211 |
| 1.2999        | 0.7741 | 600  | 2.0590          | 47.0688 |
| 1.086         | 1.0321 | 800  | 1.3574          | 34.8214 |
| 0.8407        | 1.2901 | 1000 | 1.3538          | 32.7244 |
| 0.7729        | 1.5481 | 1200 | 1.2432          | 30.6450 |
| 0.693         | 1.8062 | 1400 | 1.0388          | 27.3026 |
| 0.5904        | 2.0642 | 1600 | 1.1171          | 28.5597 |
| 0.4983        | 2.3222 | 1800 | 1.0724          | 27.1323 |
| 0.4467        | 2.5802 | 2000 | 0.9789          | 27.1910 |
| 0.4194        | 2.8383 | 2200 | 0.9319          | 24.7533 |
| 0.37          | 3.0963 | 2400 | 0.8807          | 22.3802 |
| 0.3058        | 3.3543 | 2600 | 0.8707          | 22.7737 |
| 0.2883        | 3.6123 | 2800 | 0.8241          | 21.1349 |
| 0.2757        | 3.8703 | 3000 | 0.7938          | 20.4535 |
| 0.2276        | 4.1284 | 3200 | 0.8549          | 21.4344 |
| 0.2027        | 4.3864 | 3400 | 0.7780          | 19.9542 |
| 0.18          | 4.6444 | 3600 | 0.7515          | 19.2258 |
| 0.1783        | 4.9024 | 3800 | 0.7622          | 19.5371 |


### Framework versions

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