---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-Yfreq_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-Yfreq_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: 1.2859
- Cer: 33.4880

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 12.7189       | 0.2580 | 200  | 4.6447          | 97.3156 |
| 3.4682        | 0.5160 | 400  | 2.9509          | 67.6574 |
| 1.7355        | 0.7741 | 600  | 2.5755          | 56.9666 |
| 1.3168        | 1.0321 | 800  | 1.8127          | 48.0557 |
| 1.0608        | 1.2901 | 1000 | 1.6916          | 45.5240 |
| 0.9486        | 1.5481 | 1200 | 1.5227          | 41.0009 |
| 0.8555        | 1.8062 | 1400 | 1.8282          | 48.3905 |
| 0.7964        | 2.0642 | 1600 | 2.1936          | 54.9988 |
| 0.6832        | 2.3222 | 1800 | 1.6408          | 40.3783 |
| 0.5939        | 2.5802 | 2000 | 1.4571          | 39.3327 |
| 0.5738        | 2.8383 | 2200 | 1.3655          | 37.2827 |
| 0.4881        | 3.0963 | 2400 | 1.3322          | 34.9977 |
| 0.4278        | 3.3543 | 2600 | 1.4489          | 36.8832 |
| 0.3979        | 3.6123 | 2800 | 1.4433          | 37.5940 |
| 0.36          | 3.8703 | 3000 | 1.3372          | 36.1490 |
| 0.3348        | 4.1284 | 3200 | 1.3533          | 35.6203 |
| 0.2949        | 4.3864 | 3400 | 1.3401          | 34.7568 |
| 0.2703        | 4.6444 | 3600 | 1.3240          | 34.6746 |
| 0.2519        | 4.9024 | 3800 | 1.2859          | 33.4880 |


### Framework versions

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