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_20hr_v5
results: []
wav2vec2_xls_r_300m_BIG-C_Bemba_20hr_v5
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: 0.5637
- Model Preparation Time: 0.0067
- Wer: 0.4975
- Cer: 0.1239
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 |
|---|---|---|---|---|---|---|
| 6.9607 | 1.0 | 154 | inf | 0.0067 | 1.0 | 1.0 |
| 2.4999 | 2.0 | 308 | inf | 0.0067 | 0.9981 | 0.2571 |
| 0.8598 | 3.0 | 462 | inf | 0.0067 | 0.6688 | 0.1653 |
| 0.6842 | 4.0 | 616 | inf | 0.0067 | 0.7770 | 0.1976 |
| 0.6052 | 5.0 | 770 | inf | 0.0067 | 0.5482 | 0.1443 |
| 0.557 | 6.0 | 924 | inf | 0.0067 | 0.5141 | 0.1334 |
| 0.5169 | 7.0 | 1078 | inf | 0.0067 | 0.6443 | 0.1941 |
| 0.4708 | 8.0 | 1232 | inf | 0.0067 | 0.5685 | 0.1573 |
| 0.4684 | 9.0 | 1386 | inf | 0.0067 | 0.5414 | 0.1489 |
| 0.5716 | 10.0 | 1540 | inf | 0.0067 | 0.6515 | 0.1929 |
| 1.1996 | 11.0 | 1694 | inf | 0.0067 | 0.9517 | 0.3363 |
| 1.4771 | 12.0 | 1848 | inf | 0.0067 | 0.9655 | 0.3621 |
| 1.3761 | 13.0 | 2002 | inf | 0.0067 | 0.8545 | 0.2684 |
| 1.6064 | 14.0 | 2156 | inf | 0.0067 | 1.0 | 0.3888 |
| 1.8647 | 15.0 | 2310 | inf | 0.0067 | 0.9999 | 0.5035 |
| 1.7455 | 16.0 | 2464 | inf | 0.0067 | 1.0 | 0.3958 |
| 1.6089 | 17.0 | 2618 | inf | 0.0067 | 1.0 | 0.3634 |
| 1.4697 | 18.0 | 2772 | inf | 0.0067 | 0.9999 | 0.3466 |
| 1.4016 | 19.0 | 2926 | inf | 0.0067 | 1.0 | 0.3309 |
| 1.3563 | 20.0 | 3080 | inf | 0.0067 | 1.0 | 0.3232 |
| 1.3217 | 21.0 | 3234 | inf | 0.0067 | 0.9999 | 0.3116 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1