kingabzpro's picture
update model card README.md
87ff56f
|
raw
history blame
1.88 kB
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