metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2_xls_r_300m_BIG-C_Bemba_50hr_v3
results: []
wav2vec2_xls_r_300m_BIG-C_Bemba_50hr_v3
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: 0.4961
- Model Preparation Time: 0.006
- Wer: 0.4359
- Cer: 0.1111
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer | Cer |
|---|---|---|---|---|---|---|
| 3.6745 | 1.0 | 394 | inf | 0.006 | 0.6294 | 0.1564 |
| 0.6444 | 2.0 | 788 | inf | 0.006 | 0.4910 | 0.1283 |
| 0.5606 | 3.0 | 1182 | inf | 0.006 | 0.4686 | 0.1203 |
| 0.521 | 4.0 | 1576 | inf | 0.006 | 0.4644 | 0.1227 |
| 0.4858 | 5.0 | 1970 | inf | 0.006 | 0.4451 | 0.1157 |
| 0.4571 | 6.0 | 2364 | inf | 0.006 | 0.4622 | 0.1212 |
| 0.4348 | 7.0 | 2758 | inf | 0.006 | 0.4716 | 0.1417 |
| 0.7234 | 8.0 | 3152 | inf | 0.006 | 0.9825 | 0.3581 |
| 1.7422 | 9.0 | 3546 | inf | 0.006 | 0.9813 | 0.3970 |
| 1.819 | 10.0 | 3940 | inf | 0.006 | 0.9996 | 0.5327 |
| 1.0484 | 11.0 | 4334 | inf | 0.006 | 0.5059 | 0.1368 |
| 1.9919 | 12.0 | 4728 | nan | 0.006 | 0.9999 | 0.6240 |
| 0.8944 | 13.0 | 5122 | nan | 0.006 | 0.9999 | 0.6240 |
| 2.7123 | 14.0 | 5516 | nan | 0.006 | 1.0 | 1.0 |
| 0.0 | 15.0 | 5910 | nan | 0.006 | 1.0 | 1.0 |
| 0.0 | 16.0 | 6304 | nan | 0.006 | 1.0 | 1.0 |
| 0.0 | 17.0 | 6698 | nan | 0.006 | 1.0 | 1.0 |
| 0.0 | 18.0 | 7092 | nan | 0.006 | 1.0 | 1.0 |
| 0.0 | 19.0 | 7486 | nan | 0.006 | 1.0 | 1.0 |
| 0.0 | 20.0 | 7880 | nan | 0.006 | 1.0 | 1.0 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1