metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-53_tamasheq_french
results: []
wav2vec2-large-xlsr-53_tamasheq_french
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8742
- Wer: 1.0
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: 5
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 10
- 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 |
|---|---|---|---|---|
| 3.659 | 4.0 | 400 | 2.9280 | 1.0 |
| 2.8942 | 8.0 | 800 | 2.8886 | 1.0 |
| 2.8877 | 12.0 | 1200 | 2.8671 | 1.0 |
| 2.8814 | 16.0 | 1600 | 2.8593 | 1.0 |
| 2.8779 | 20.0 | 2000 | 2.8615 | 1.0 |
| 2.914 | 24.0 | 2400 | 2.9140 | 1.0 |
| 2.8965 | 28.0 | 2800 | 2.8742 | 1.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3