metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: mascir_fr_wav2vec_version1000
results: []
mascir_fr_wav2vec_version1000
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: 0.4677
- Wer: 0.37
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.3896 | 4.0 | 500 | 3.0842 | 1.0 |
| 1.6969 | 8.0 | 1000 | 0.6327 | 0.5956 |
| 0.3056 | 12.0 | 1500 | 0.5024 | 0.49 |
| 0.1441 | 16.0 | 2000 | 0.5241 | 0.45 |
| 0.091 | 20.0 | 2500 | 0.4997 | 0.44 |
| 0.0676 | 24.0 | 3000 | 0.5173 | 0.4456 |
| 0.0603 | 28.0 | 3500 | 0.4487 | 0.4122 |
| 0.0378 | 32.0 | 4000 | 0.4554 | 0.3933 |
| 0.0328 | 36.0 | 4500 | 0.4395 | 0.3822 |
| 0.0275 | 40.0 | 5000 | 0.4910 | 0.3889 |
| 0.0198 | 44.0 | 5500 | 0.4861 | 0.3722 |
| 0.019 | 48.0 | 6000 | 0.4677 | 0.37 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3