---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E30_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-E30_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: 0.5438
- Cer: 14.4032

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 8.581         | 0.2580 | 200  | 3.5252          | 80.8153 |
| 1.8592        | 0.5160 | 400  | 1.7795          | 40.3665 |
| 1.2512        | 0.7741 | 600  | 1.3170          | 32.6598 |
| 1.0721        | 1.0321 | 800  | 1.0213          | 24.8120 |
| 0.8561        | 1.2901 | 1000 | 0.9933          | 24.5242 |
| 0.7665        | 1.5481 | 1200 | 1.1026          | 26.9678 |
| 0.7108        | 1.8062 | 1400 | 0.8351          | 21.5519 |
| 0.6025        | 2.0642 | 1600 | 0.9202          | 23.6490 |
| 0.5026        | 2.3222 | 1800 | 0.8857          | 22.1511 |
| 0.4525        | 2.5802 | 2000 | 0.7021          | 18.6678 |
| 0.4254        | 2.8383 | 2200 | 0.7475          | 19.6722 |
| 0.3807        | 3.0963 | 2400 | 0.6803          | 17.8630 |
| 0.3106        | 3.3543 | 2600 | 0.6316          | 16.6177 |
| 0.2843        | 3.6123 | 2800 | 0.6282          | 16.8174 |
| 0.2704        | 3.8703 | 3000 | 0.6106          | 16.2829 |
| 0.2238        | 4.1284 | 3200 | 0.5700          | 14.9377 |
| 0.1923        | 4.3864 | 3400 | 0.5985          | 15.4429 |
| 0.1833        | 4.6444 | 3600 | 0.5486          | 14.6205 |
| 0.1779        | 4.9024 | 3800 | 0.5438          | 14.4032 |


### Framework versions

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