metadata
language:
- km
license: apache-2.0
tags:
- automatic-speech-recognition
- openslr
- robust-speech-event
- km
- generated_from_trainer
model-index:
- name: ''
results: []
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the openslr dataset. It achieves the following results on the evaluation set:
- Loss: 0.4638
- Wer: 0.4944
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.2049 | 4.93 | 400 | 4.5570 | 1.0 |
| 3.569 | 9.87 | 800 | 3.5415 | 1.0 |
| 3.483 | 14.81 | 1200 | 3.3956 | 1.0 |
| 2.1906 | 19.75 | 1600 | 1.1732 | 0.7897 |
| 1.7968 | 24.69 | 2000 | 0.7634 | 0.6678 |
| 1.615 | 29.62 | 2400 | 0.6182 | 0.5922 |
| 1.52 | 34.56 | 2800 | 0.5473 | 0.5479 |
| 1.4696 | 39.5 | 3200 | 0.5002 | 0.5130 |
| 1.4175 | 44.44 | 3600 | 0.4752 | 0.5021 |
| 1.3943 | 49.38 | 4000 | 0.4638 | 0.4944 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0