metadata
language:
- tr
license: apache-2.0
tags:
- automatic-speech-recognition
- common_voice
- generated_from_trainer
- xls_r_repro_common_voice_tr
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-100m-common_voice-tr-ft
results: []
wav2vec2-xls-r-100m-common_voice-tr-ft
This model is a fine-tuned version of facebook/wav2vec2-xls-r-100m on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:
- Loss: 3.4113
- Wer: 1.0
- Cer: 1.0
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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.1315 | 9.09 | 500 | 3.3832 | 1.0 | 1.0 |
| 3.1163 | 18.18 | 1000 | 3.4252 | 1.0 | 1.0 |
| 3.121 | 27.27 | 1500 | 3.4051 | 1.0 | 1.0 |
| 3.1273 | 36.36 | 2000 | 3.4345 | 1.0 | 1.0 |
| 3.2257 | 45.45 | 2500 | 3.4097 | 1.0 | 1.0 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.15.2.dev0
- Tokenizers 0.10.3