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wav2vec2-base-finetuned-ie

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: 0.9461
  • Accuracy: 0.6857

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: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.1913 1.0 102 1.1911 0.4374
1.0238 2.0 204 1.0045 0.5529
0.809 3.0 306 0.9396 0.6188
0.7097 4.0 408 1.2146 0.5558
0.6082 5.0 510 1.2860 0.5752
0.4099 6.0 612 1.3618 0.5771
0.3927 7.0 714 1.1155 0.6508
0.2013 8.0 816 1.3554 0.6266
0.2208 9.0 918 1.7306 0.5674
0.1967 10.0 1020 1.6680 0.6004
0.1563 11.0 1122 1.6125 0.6402
0.0777 12.0 1224 1.7766 0.6305
0.0486 13.0 1326 1.8744 0.6324
0.0594 14.0 1428 1.9529 0.6246
0.0363 15.0 1530 1.8843 0.6334

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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