metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-Urdu
results: []
wav2vec2-large-xls-r-300m-Urdu
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.9889
- Wer: 0.5607
- Cer: 0.2370
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: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.6398 | 30.77 | 400 | 3.3517 | 1.0 | 1.0 |
| 2.9225 | 61.54 | 800 | 2.5123 | 1.0 | 0.8310 |
| 1.2568 | 92.31 | 1200 | 0.9699 | 0.6273 | 0.2575 |
| 0.8974 | 123.08 | 1600 | 0.9715 | 0.5888 | 0.2457 |
| 0.7151 | 153.85 | 2000 | 0.9984 | 0.5588 | 0.2353 |
| 0.6416 | 184.62 | 2400 | 0.9889 | 0.5607 | 0.2370 |
Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.2+cu102
- Datasets 1.18.2.dev0
- Tokenizers 0.11.0