wav2vec2-large-lv60_phoneme-timit_english_timit-4k

This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the TIMIT dataset. It achieves the following results on the evaluation set:

• Loss: 0.3354
• Phone Error Rate: 0.1053 (10.53%)

Intended uses & limitations

• Phoneme recognition based on the TIMIT phoneme set

Phoneme-wise errors

Vowel Phonemes

Stop Phonemes

Affricate Phonemes

Fricative Phonemes

Nasal Phonemes

Semivowels/Glide Phonemes

Training and evaluation data

• Train: TIMIT train dataset (4620 samples)
• Test: TIMIT test dataset (1680 samples)

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 16
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 300
• training_steps: 3000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.38.1
• Pytorch 2.0.1
• Datasets 2.16.1
• Tokenizers 0.15.2