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katyayego/
Wav2Vec2Phoneme-CSfinetune

Name: Wav2Vec2Phoneme-CSfinetune
Availability: InStock

transformers

safetensors

wav2vec2

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-lv-60-espeak-cv-ft

finetune

apache-2.0

endpoints_compatible

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Wav2Vec2Phoneme-CSfinetune

This model is a fine-tuned version of facebook/wav2vec2-lv-60-espeak-cv-ft on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7640
Wer: 0.3064
Cer: 0.2173

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: 0.0001
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: 1000
num_epochs: 14
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
2.7571	2.2805	500	3.4129	0.4619	0.3238
2.0486	4.5610	1000	1.9384	0.3985	0.2789
1.7859	6.8415	1500	2.9810	0.3588	0.2583
1.505	9.1220	2000	2.2573	0.3257	0.2305
1.3879	11.4025	2500	1.7517	0.3109	0.2206
1.3334	13.6830	3000	1.7640	0.3064	0.2173

Framework versions

Transformers 4.41.2
Pytorch 2.3.0
Datasets 2.19.2
Tokenizers 0.19.1

katyayego/Wav2Vec2Phoneme-CSfinetune

Wav2Vec2Phoneme-CSfinetune

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

katyayego/
Wav2Vec2Phoneme-CSfinetune