Edit model card

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the /WORKSPACE/DATA/HY/NOIZY_STUDENT_3/ - NA dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2293
  • Wer: 0.3333
  • Cer: 0.0602

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: 7e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 842
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
3.1471 7.02 400 3.1599 1.0 1.0
1.8691 14.04 800 0.7674 0.7361 0.1686
1.3227 21.05 1200 0.3849 0.5336 0.1007
1.163 28.07 1600 0.3015 0.4559 0.0823
1.0768 35.09 2000 0.2721 0.4032 0.0728
1.0224 42.11 2400 0.2586 0.3825 0.0691
0.9817 49.12 2800 0.2458 0.3653 0.0653
0.941 56.14 3200 0.2306 0.3388 0.0605
0.9235 63.16 3600 0.2315 0.3380 0.0615
0.9141 70.18 4000 0.2293 0.3333 0.0602

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.2
  • Datasets 1.18.4.dev0
  • Tokenizers 0.11.0
Downloads last month
20
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train arampacha/wav2vec2-xls-r-300m-hy

Evaluation results