metadata

license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William
    results: []

wav2vec2-base-fleurs-CommonVoice-demo-google-colab-Ezra_William

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

Loss: 1.5099
Wer: 0.7823

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_steps: 1000
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.3441	4.59	500	2.8658	1.0
1.1862	9.17	1000	1.2467	0.8572
0.4708	13.76	1500	1.3497	0.8065
0.3068	18.35	2000	1.3890	0.7881
0.2223	22.94	2500	1.3892	0.7720
0.1808	27.52	3000	1.5099	0.7823

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3