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jmaczan/
wav2vec2-large-960h-lv60-self-dysarthria

Name: wav2vec2-large-960h-lv60-self-dysarthria
Availability: InStock

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-large-960h-lv60-self

finetune

apache-2.0

endpoints_compatible

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wav2vec2-large-960h-lv60-self-dysarthria

This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2385
Wer: 1.0

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 100
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
20.9703	3.2	200	3.5607	1.0
3.4216	6.4	400	3.3741	1.0
3.3062	9.6	600	3.1419	1.0
2.994	12.8	800	2.6835	1.0
2.7361	16.0	1000	2.4129	1.0
2.6005	19.2	1200	2.2973	1.0
2.5724	22.4	1400	2.2520	1.0
2.619	25.6	1600	2.2435	1.0
2.5278	28.8	1800	2.2385	1.0

Framework versions

Transformers 4.43.2
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

jmaczan/wav2vec2-large-960h-lv60-self-dysarthria

wav2vec2-large-960h-lv60-self-dysarthria

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jmaczan/
wav2vec2-large-960h-lv60-self-dysarthria