metadata

license: cc-by-nc-4.0
base_model: facebook/wav2vec2-base-10k-voxpopuli-ft-de
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: w2v2-base-10k-voxpopuli-ft-de_lr1e-4_at0.8_da1
    results: []

w2v2-base-10k-voxpopuli-ft-de_lr1e-4_at0.8_da1

This model is a fine-tuned version of facebook/wav2vec2-base-10k-voxpopuli-ft-de on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8259
Wer: 0.1632

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: 32
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: 60
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.8086	5.43	250	0.8872	0.2456
0.1358	10.87	500	1.1126	0.1858
0.0916	16.3	750	1.5579	0.1991
0.0716	21.74	1000	1.2674	0.1833
0.0584	27.17	1250	1.6728	0.1768
0.0464	32.61	1500	1.8259	0.1632

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.14.6
Tokenizers 0.14.1