jkhyjkhy/Wav2vec_Swahili
Domain:
natural language processingRecord type:
model
Creator:
jkh
Host:
Automatic speech recognition on low resource language project
# LR_ASR
##### Contributors:
@jkhyjkhy
@annettehjc
@chyulle
@Khattab273
---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-sw-ASR
- results: 0.2453
---
# wav2vec2-large-xlsr-sw-ASR
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Swahili dataset from common voice.
It achieves the following results on the evaluation set:
- Loss: 0.1446
- Wer: 0.2453
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:-----:|:---------------:|:------:|
| No log | 0.0740 | 1000 | 0.8588 | 0.7661 |
| No log | 0.1480 | 2000 | 0.3139 | 0.4159 |
| 1.9537 | 0.2220 | 3000 | 0.2514 | 0.3524 |
| 1.9537 | 0.2960 | 4000 | 0.2217 | 0.3292 |
| 1.9537 | 0.3700 | 5000 | 0.1986 | 0.3029 |
| 0.3639 | 0.4440 | 6000 | 0.1847 | 0.2903 |
| 0.3639 | 0.5181 | 7000 | 0.1754 | 0.2747 |
| 0.3639 | 0.5921 | 8000 | 0.1657 | 0.2689 |
| 0.3039 | 0.6661 | 9000 | 0.1587 | 0.2598 |
| 0.3039 | 0.7401 | 10000 | 0.1565 | 0.2560 |
| 0.3039 | 0.8141 | 11000 | 0.1529 | 0.2518 |
| 0.2688 | 0.8881 | 12000 | 0.1478 …