Edit model card

w2v2-base-pretrained_lr5e-5_at0.3_da1

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4352
  • Wer: 0.1704

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: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1000
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
19.6725 3.97 250 4.9409 1.0
3.5043 7.94 500 3.2414 1.0
3.1162 11.9 750 3.1351 1.0
2.2138 15.87 1000 0.9146 0.9184
0.5308 19.84 1250 0.6292 0.4357
0.2762 23.81 1500 0.8713 0.2384
0.1894 27.78 1750 0.9537 0.1905
0.1339 31.75 2000 1.2355 0.1824
0.1002 35.71 2250 1.2193 0.1739
0.0858 39.68 2500 1.1557 0.1709
0.0711 43.65 2750 1.3591 0.1692
0.0589 47.62 3000 1.3372 0.1683
0.0525 51.59 3250 1.4133 0.1683
0.0464 55.56 3500 1.4969 0.1679
0.0436 59.52 3750 1.4262 0.1674
0.0401 63.49 4000 1.4352 0.1704

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1
Downloads last month
1
Safetensors
Model size
94.4M params
Tensor type
F32
·

Finetuned from