metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xls-r-300m-Sulaimank
results: []
wav2vec2-large-xls-r-300m-Sulaimank
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1017
- Wer: 0.1013
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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 80
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0012 | 10.8108 | 400 | 0.3243 | 0.4548 |
| 0.1975 | 21.6216 | 800 | 0.1885 | 0.2591 |
| 0.0751 | 32.4324 | 1200 | 0.1590 | 0.1902 |
| 0.0398 | 43.2432 | 1600 | 0.1300 | 0.1520 |
| 0.0221 | 54.0541 | 2000 | 0.1195 | 0.1361 |
| 0.0137 | 64.8649 | 2400 | 0.1034 | 0.1112 |
| 0.0088 | 75.6757 | 2800 | 0.1017 | 0.1013 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1