---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E50_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_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: 0.5794
- Cer: 21.1466

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 22.602        | 0.2580 | 200  | 6.2336          | 100.0   |
| 4.8547        | 0.5160 | 400  | 4.5853          | 98.3318 |
| 4.6154        | 0.7741 | 600  | 4.6172          | 93.2331 |
| 4.4727        | 1.0321 | 800  | 4.3835          | 80.8506 |
| 4.2854        | 1.2901 | 1000 | 4.2819          | 77.9194 |
| 3.947         | 1.5481 | 1200 | 3.1503          | 61.7070 |
| 2.091         | 1.8062 | 1400 | 1.7032          | 40.4547 |
| 1.223         | 2.0642 | 1600 | 1.4472          | 39.8320 |
| 0.8867        | 2.3222 | 1800 | 1.2054          | 30.8506 |
| 0.7444        | 2.5802 | 2000 | 1.0326          | 31.4732 |
| 0.6529        | 2.8383 | 2200 | 0.8416          | 27.4671 |
| 0.5313        | 3.0963 | 2400 | 0.8239          | 25.0176 |
| 0.4148        | 3.3543 | 2600 | 0.7047          | 24.6417 |
| 0.3665        | 3.6123 | 2800 | 0.6761          | 22.5681 |
| 0.3435        | 3.8703 | 3000 | 0.6632          | 22.3567 |
| 0.2865        | 4.1284 | 3200 | 0.5879          | 21.1936 |
| 0.2307        | 4.3864 | 3400 | 0.6009          | 21.3875 |
| 0.2198        | 4.6444 | 3600 | 0.5810          | 21.2700 |
| 0.195         | 4.9024 | 3800 | 0.5794          | 21.1466 |


### Framework versions

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