---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E30_fs2
  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_fs2

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: 0.5468
- Cer: 14.2798

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 10.8739       | 0.2580 | 200  | 2.7757          | 55.2690 |
| 1.817         | 0.5160 | 400  | 1.5611          | 35.3031 |
| 1.2242        | 0.7741 | 600  | 1.2254          | 29.7404 |
| 1.0296        | 1.0321 | 800  | 1.0612          | 26.5508 |
| 0.8143        | 1.2901 | 1000 | 1.0154          | 24.8179 |
| 0.7274        | 1.5481 | 1200 | 0.9467          | 24.0895 |
| 0.6812        | 1.8062 | 1400 | 0.8809          | 23.0204 |
| 0.5998        | 2.0642 | 1600 | 1.0420          | 26.1337 |
| 0.495         | 2.3222 | 1800 | 0.8705          | 22.3978 |
| 0.4552        | 2.5802 | 2000 | 0.8161          | 20.8412 |
| 0.4141        | 2.8383 | 2200 | 0.7798          | 20.8999 |
| 0.3507        | 3.0963 | 2400 | 0.7629          | 19.4901 |
| 0.2985        | 3.3543 | 2600 | 0.6205          | 16.3651 |
| 0.2554        | 3.6123 | 2800 | 0.5922          | 15.8952 |
| 0.2546        | 3.8703 | 3000 | 0.5993          | 16.0479 |
| 0.2114        | 4.1284 | 3200 | 0.5720          | 14.8849 |
| 0.1834        | 4.3864 | 3400 | 0.5807          | 15.2491 |
| 0.1723        | 4.6444 | 3600 | 0.5454          | 14.1800 |
| 0.1631        | 4.9024 | 3800 | 0.5468          | 14.2798 |


### Framework versions

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