---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E50_speed2
  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_speed2

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: 0.7405
- Cer: 24.6417

## 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      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 26.7947       | 0.2580 | 200  | 30.8746         | 111.8127 |
| 7.993         | 0.5160 | 400  | 5.7855          | 94.2317  |
| 4.7455        | 0.7741 | 600  | 4.5989          | 93.9262  |
| 4.4924        | 1.0321 | 800  | 4.7152          | 93.2331  |
| 4.3711        | 1.2901 | 1000 | 4.7883          | 93.3564  |
| 4.3243        | 1.5481 | 1200 | 4.7205          | 92.4636  |
| 4.2683        | 1.8062 | 1400 | 4.5020          | 90.9305  |
| 4.1967        | 2.0642 | 1600 | 4.8431          | 92.8102  |
| 4.0612        | 2.3222 | 1800 | 4.8480          | 92.2697  |
| 3.6744        | 2.5802 | 2000 | 3.8378          | 77.9664  |
| 2.8934        | 2.8383 | 2200 | 2.9635          | 61.9713  |
| 2.1459        | 3.0963 | 2400 | 2.1180          | 51.9267  |
| 1.5896        | 3.3543 | 2600 | 1.5030          | 38.3870  |
| 1.0885        | 3.6123 | 2800 | 1.1457          | 30.6978  |
| 0.8797        | 3.8703 | 3000 | 0.9902          | 29.2234  |
| 0.7317        | 4.1284 | 3200 | 0.8634          | 25.7636  |
| 0.6046        | 4.3864 | 3400 | 0.7911          | 24.6476  |
| 0.5618        | 4.6444 | 3600 | 0.7773          | 25.6285  |
| 0.5027        | 4.9024 | 3800 | 0.7405          | 24.6417  |


### Framework versions

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