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Icelandic-finetuned-data-augmentation_light

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metadata
license: cc-by-4.0
base_model: carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Icelandic-finetuned-data-augmentation_light
    results: []

Icelandic-finetuned-data-augmentation_light

This model is a fine-tuned version of carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2736
  • Wer: 0.2338

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: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Wer
No log 0.2 10 0.4566 0.2819
No log 0.4 20 0.3958 0.2494
No log 0.6 30 0.3829 0.2237
No log 0.8 40 0.3622 0.2103
0.7129 1.0 50 0.3751 0.2025
0.7129 1.2 60 0.3737 0.2025
0.7129 1.4 70 0.3765 0.2025
0.7129 1.6 80 0.3589 0.2069
0.7129 1.8 90 0.3246 0.1902
0.3852 2.0 100 0.3146 0.1879
0.3852 2.2 110 0.3209 0.1790
0.3852 2.4 120 0.3129 0.1779
0.3852 2.6 130 0.3003 0.1790
0.3852 2.8 140 0.2998 0.1790
0.2803 3.0 150 0.2851 0.1868
0.2803 3.2 160 0.2753 0.1801
0.2803 3.4 170 0.2957 0.1834
0.2803 3.6 180 0.2869 0.1790
0.2803 3.8 190 0.2650 0.1823
0.2545 4.0 200 0.2577 0.1734
0.2545 4.2 210 0.2389 0.1779
0.2545 4.4 220 0.2330 0.1801
0.2545 4.6 230 0.2592 0.1745
0.2545 4.8 240 0.2631 0.1779
0.2273 5.0 250 0.2305 0.1801
0.2273 5.2 260 0.2009 0.1913
0.2273 5.4 270 0.1982 0.1946
0.2273 5.6 280 0.1849 0.2002
0.2273 5.8 290 0.2038 0.1879
0.2192 6.0 300 0.2504 0.1857
0.2192 6.2 310 0.2993 0.1790
0.2192 6.4 320 0.2544 0.1812
0.2192 6.6 330 0.2471 0.1969
0.2192 6.8 340 0.2688 0.1868
0.232 7.0 350 0.2264 0.2069
0.232 7.2 360 0.2695 0.1924
0.232 7.4 370 0.2728 0.1946
0.232 7.6 380 0.2508 0.1902
0.232 7.8 390 0.2499 0.1723
0.216 8.0 400 0.2035 0.1946
0.216 8.2 410 0.2620 0.1767
0.216 8.4 420 0.2655 0.1879
0.216 8.6 430 0.2773 0.2069
0.216 8.8 440 0.3075 0.2058
0.207 9.0 450 0.2791 0.1980
0.207 9.2 460 0.2045 0.1924
0.207 9.4 470 0.2329 0.2036
0.207 9.6 480 0.2200 0.2114
0.207 9.8 490 0.2864 0.2237
0.2199 10.0 500 0.2736 0.2338

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0