---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E50_freq
  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_freq

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: 0.4231
- Cer: 11.7951

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 9.4581        | 0.2580 | 200  | 3.9157          | 68.4387 |
| 2.071         | 0.5160 | 400  | 1.6011          | 37.3766 |
| 1.307         | 0.7741 | 600  | 1.1918          | 28.6889 |
| 1.1363        | 1.0321 | 800  | 1.0170          | 23.9192 |
| 0.8977        | 1.2901 | 1000 | 0.8161          | 20.3771 |
| 0.8219        | 1.5481 | 1200 | 0.7277          | 18.9908 |
| 0.7857        | 1.8062 | 1400 | 0.7119          | 19.1494 |
| 0.6967        | 2.0642 | 1600 | 0.6717          | 17.8748 |
| 0.5744        | 2.3222 | 1800 | 0.7313          | 19.1259 |
| 0.5676        | 2.5802 | 2000 | 0.6092          | 16.3593 |
| 0.5362        | 2.8383 | 2200 | 0.5840          | 16.5120 |
| 0.4879        | 3.0963 | 2400 | 0.5039          | 13.8745 |
| 0.4144        | 3.3543 | 2600 | 0.5449          | 14.6558 |
| 0.3875        | 3.6123 | 2800 | 0.4790          | 13.3400 |
| 0.3723        | 3.8703 | 3000 | 0.4497          | 12.3238 |
| 0.3326        | 4.1284 | 3200 | 0.4624          | 12.3825 |
| 0.2905        | 4.3864 | 3400 | 0.4345          | 12.2004 |
| 0.2745        | 4.6444 | 3600 | 0.4479          | 12.2768 |
| 0.2668        | 4.9024 | 3800 | 0.4231          | 11.7951 |


### Framework versions

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