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metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
  - automatic-speech-recognition
  - DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: wav2vec2-xlsr-53-ft-btb-ccv-cy
    results: []

wav2vec2-xlsr-53-ft-btb-ccv-cy

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5563
  • Wer: 0.8702

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: 128
  • 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: 500
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 0.3096 100 3.5623 1.0
No log 0.6192 200 3.1175 1.0
No log 0.9288 300 3.2933 1.0
No log 1.2384 400 0.9765 0.6866
3.7398 1.5480 500 0.6787 0.4922
3.7398 1.8576 600 0.6015 0.4347
3.7398 2.1672 700 0.5699 0.4273
3.7398 2.4768 800 0.5419 0.3958
3.7398 2.7864 900 0.4971 0.3730
0.5228 3.0960 1000 0.4960 0.3543
0.5228 3.4056 1100 0.6977 0.4655
0.5228 3.7152 1200 0.7999 0.5316
0.5228 4.0248 1300 1.0526 0.6215
0.5228 4.3344 1400 1.1285 0.7572
0.9047 4.6440 1500 1.1593 0.7047
0.9047 4.9536 1600 2.0401 0.9667
0.9047 5.2632 1700 1.6264 0.8680
0.9047 5.5728 1800 1.5916 0.8627
0.9047 5.8824 1900 1.5764 0.8720
1.6715 6.1920 2000 1.5563 0.8702

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1