metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dt-real
    results: []

wav2vec2-large-xlsr-53-english-pronunciation-evaluation-dt-real

This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2577
Accuracy: 0.6578
F1: 0.6488
Precision: 0.6432
Recall: 0.6578

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.9224	1.0	310	0.8380	0.6142	0.5589	0.6070	0.6142
0.6168	2.0	620	0.7955	0.6651	0.6313	0.6369	0.6651
0.4687	3.0	930	1.0592	0.6150	0.6041	0.6434	0.6150
0.4495	4.0	1240	1.1980	0.6707	0.6592	0.6547	0.6707
0.182	5.0	1550	1.4150	0.6683	0.6596	0.6566	0.6683

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3