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metadata
language:
  - fi
license: apache-2.0
tags:
  - generated_from_trainer
  - automatic-speech-recognition
  - robust-speech-event
model-index:
  - name: wav2vec2-xlsr-fi-lm-1B
    results: []

wav2vec2-xlsr-fi-lm-1B

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1853
  • Wer: 0.2205

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: 0.0003
  • 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_steps: 500
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.8158 0.67 400 0.4835 0.6310
0.5679 1.33 800 0.4806 0.5538
0.6055 2.0 1200 0.3888 0.5083
0.5353 2.67 1600 0.3258 0.4365
0.4883 3.33 2000 0.3313 0.4204
0.4513 4.0 2400 0.2924 0.3904
0.3753 4.67 2800 0.2593 0.3608
0.3478 5.33 3200 0.2832 0.3551
0.3796 6.0 3600 0.2495 0.3402
0.2556 6.67 4000 0.2342 0.3106
0.229 7.33 4400 0.2181 0.2812
0.205 8.0 4800 0.2041 0.2523
0.1654 8.67 5200 0.2015 0.2416
0.152 9.33 5600 0.1942 0.2294
0.1569 10.0 6000 0.1853 0.2205

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.17.1.dev0
  • Tokenizers 0.11.0