metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-asante-twi
results: []
wav2vec2-large-xls-r-300m-asante-twi
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4944
- Wer: 0.4114
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: 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: 500
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.4512 | 5.8394 | 400 | 0.5347 | 0.6223 |
| 0.2568 | 11.6788 | 800 | 0.4314 | 0.4948 |
| 0.1053 | 17.5182 | 1200 | 0.4666 | 0.4564 |
| 0.0579 | 23.3577 | 1600 | 0.4916 | 0.4339 |
| 0.0395 | 29.1971 | 2000 | 0.4894 | 0.4203 |
| 0.0274 | 35.0365 | 2400 | 0.4944 | 0.4114 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3