metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-Elderly
results: []
wav2vec2-1b-Elderly
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4157
- Cer: 11.1137
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 8.645 | 0.2580 | 200 | 2.2625 | 43.7735 |
| 1.4937 | 0.5161 | 400 | 1.2311 | 27.9488 |
| 1.0981 | 0.7741 | 600 | 0.9801 | 23.6020 |
| 0.898 | 1.0322 | 800 | 0.8050 | 20.0658 |
| 0.7284 | 1.2902 | 1000 | 0.7320 | 18.3447 |
| 0.6644 | 1.5483 | 1200 | 0.6092 | 15.7484 |
| 0.592 | 1.8063 | 1400 | 0.5996 | 15.8893 |
| 0.4926 | 2.0643 | 1600 | 0.5654 | 14.6147 |
| 0.4054 | 2.3224 | 1800 | 0.4774 | 12.5822 |
| 0.3902 | 2.5804 | 2000 | 0.4446 | 11.9772 |
| 0.361 | 2.8385 | 2200 | 0.4157 | 11.1137 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1