metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-1b
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-1b-E50
results: []
wav2vec2-1b-E50
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: 0.5653
- Cer: 14.0038
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 10.3076 | 0.5161 | 200 | 3.6837 | 66.2829 |
| 1.6559 | 1.0323 | 400 | 1.1986 | 25.7695 |
| 0.9077 | 1.5484 | 600 | 0.9908 | 22.8912 |
| 0.7297 | 2.0645 | 800 | 0.7952 | 19.4549 |
| 0.5331 | 2.5806 | 1000 | 0.7366 | 18.3506 |
| 0.4468 | 3.0968 | 1200 | 0.7078 | 17.0465 |
| 0.3334 | 3.6129 | 1400 | 0.6080 | 15.1727 |
| 0.2825 | 4.1290 | 1600 | 0.5928 | 14.4796 |
| 0.2049 | 4.6452 | 1800 | 0.5653 | 14.0038 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1