---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: bambara-1-hours-bambara-asr-hf
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bambara-1-hours-bambara-asr-hf

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7420
- Wer: 0.6528
- Cer: 0.2937

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.1128        | 5.71  | 200  | 1.1737          | 0.7170 | 0.3240 |
| 0.9466        | 11.43 | 400  | 1.3777          | 0.6729 | 0.3018 |
| 0.7191        | 17.14 | 600  | 1.5054          | 0.6833 | 0.3096 |
| 0.624         | 22.86 | 800  | 1.6121          | 0.6704 | 0.3018 |
| 0.4667        | 28.57 | 1000 | 1.7420          | 0.6528 | 0.2937 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2