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---
license: apache-2.0
base_model: ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-53-AsanteTwi-06second
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: common_voice_13_0
type: common_voice_13_0
config: tw
split: test
args: tw
metrics:
- name: Wer
type: wer
value: 0.4375
---
<!-- 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-large-xlsr-53-AsanteTwi-06second
This model is a fine-tuned version of [ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06](https://huggingface.co/ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06) on the common_voice_13_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6678
- Wer: 0.4375
## 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: 16
- eval_batch_size: 8
- 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: 200
- num_epochs: 120
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 3.0992 | 16.67 | 100 | 2.4101 | 1.0 |
| 0.3622 | 33.33 | 200 | 0.8652 | 0.4375 |
| 0.1804 | 50.0 | 300 | 0.8567 | 0.4375 |
| 0.1412 | 66.67 | 400 | 0.8914 | 0.5625 |
| 0.1193 | 83.33 | 500 | 0.6723 | 0.4375 |
| 0.1063 | 100.0 | 600 | 0.6634 | 0.4375 |
| 0.0976 | 116.67 | 700 | 0.6678 | 0.4375 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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