metadata
license: apache-2.0
base_model: ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06second
tags:
- generated_from_trainer
datasets:
- common_voice_13_0
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-53-AsanteTwi-07
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
wav2vec2-large-xlsr-53-AsanteTwi-07
This model is a fine-tuned version of ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06second on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8573
- 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0656 | 16.67 | 100 | 0.6553 | 0.5 |
| 0.0354 | 33.33 | 200 | 0.7952 | 0.5 |
| 0.0329 | 50.0 | 300 | 0.6705 | 0.4375 |
| 0.0261 | 66.67 | 400 | 0.7253 | 0.4375 |
| 0.0214 | 83.33 | 500 | 0.8056 | 0.4375 |
| 0.0236 | 100.0 | 600 | 0.8573 | 0.4375 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3