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_1hr_v2
results: []
wav2vec2_xls_r_300m_BIG-C_Bemba_1hr_v2
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: 14.9650
- Model Preparation Time: 0.0065
- Wer: 1.0
- Cer: 1.0883
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: 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: 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 |
|---|---|---|---|---|---|---|
| 15.5971 | 0.9677 | 15 | 14.9495 | 0.0065 | 1.0 | 1.0688 |
| 14.3431 | 2.0 | 31 | 14.4988 | 0.0065 | 1.0 | 0.9944 |
| 14.6096 | 2.9677 | 46 | 13.5477 | 0.0065 | 1.0 | 0.9877 |
| 12.0537 | 4.0 | 62 | 10.5808 | 0.0065 | 1.0 | 1.0 |
| 8.4919 | 4.9677 | 77 | 6.4485 | 0.0065 | 1.0 | 1.0 |
| 5.2708 | 6.0 | 93 | 4.7793 | 0.0065 | 1.0 | 1.0 |
| 4.5315 | 6.9677 | 108 | 4.1769 | 0.0065 | 1.0 | 1.0 |
| 3.8136 | 8.0 | 124 | 3.8360 | 0.0065 | 1.0 | 1.0 |
| 3.813 | 8.9677 | 139 | 3.6393 | 0.0065 | 1.0 | 1.0 |
| 3.4064 | 10.0 | 155 | 3.4606 | 0.0065 | 1.0 | 1.0 |
| 3.4865 | 10.9677 | 170 | 3.3233 | 0.0065 | 1.0 | 1.0 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1