metadata

language:
  - sv-SE
license: apache-2.0
tags:
  - automatic-speech-recognition
  - common_voice
  - generated_from_trainer
datasets:
  - common_voice
model-index:
  - name: wav2vec2-common_voice-tr-demo
    results: []

wav2vec2-common_voice-tr-demo

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the COMMON_VOICE - SV-SE dataset. It achieves the following results on the evaluation set:

Loss: 0.5528
Wer: 0.3811

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: 500
num_epochs: 15.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.74	100	3.4444	1.0
No log	1.47	200	2.9421	1.0
No log	2.21	300	2.2802	1.0137
No log	2.94	400	0.9683	0.7611
3.7264	3.68	500	0.7941	0.6594
3.7264	4.41	600	0.6695	0.5751
3.7264	5.15	700	0.6507	0.5314
3.7264	5.88	800	0.5731	0.4927
3.7264	6.62	900	0.5723	0.4580
0.4592	7.35	1000	0.5913	0.4479
0.4592	8.09	1100	0.5562	0.4423
0.4592	8.82	1200	0.5566	0.4292
0.4592	9.56	1300	0.5492	0.4303
0.4592	10.29	1400	0.5665	0.4331
0.2121	11.03	1500	0.5610	0.4084
0.2121	11.76	1600	0.5703	0.4014
0.2121	12.5	1700	0.5669	0.3898
0.2121	13.24	1800	0.5586	0.3962
0.2121	13.97	1900	0.5656	0.3897
0.1326	14.71	2000	0.5565	0.3813

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3