---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E10_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-E10_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: 0.8527
- Cer: 21.5519

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 21.0525       | 0.2580 | 200  | 4.6684          | 100.0   |
| 3.9541        | 0.5160 | 400  | 2.8257          | 57.0724 |
| 1.7271        | 0.7741 | 600  | 1.9449          | 44.8015 |
| 1.3002        | 1.0321 | 800  | 1.4433          | 34.1224 |
| 1.0165        | 1.2901 | 1000 | 1.3209          | 30.7272 |
| 0.895         | 1.5481 | 1200 | 1.2042          | 29.3351 |
| 0.8431        | 1.8062 | 1400 | 1.1021          | 27.5905 |
| 0.7042        | 2.0642 | 1600 | 1.3478          | 32.1311 |
| 0.6066        | 2.3222 | 1800 | 1.3199          | 32.1487 |
| 0.589         | 2.5802 | 2000 | 1.1196          | 27.7961 |
| 0.549         | 2.8383 | 2200 | 1.1813          | 29.9048 |
| 0.4874        | 3.0963 | 2400 | 0.9759          | 24.7415 |
| 0.3897        | 3.3543 | 2600 | 0.9338          | 23.9720 |
| 0.3993        | 3.6123 | 2800 | 0.9023          | 22.8560 |
| 0.361         | 3.8703 | 3000 | 0.8922          | 22.9911 |
| 0.3091        | 4.1284 | 3200 | 0.9250          | 23.5491 |
| 0.2812        | 4.3864 | 3400 | 0.8751          | 22.0982 |
| 0.2639        | 4.6444 | 3600 | 0.8540          | 21.5754 |
| 0.2451        | 4.9024 | 3800 | 0.8527          | 21.5519 |


### Framework versions

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