This model is a fine-tuned version of classla/wav2vec2-xls-r-parlaspeech-hr on the audiofolder dataset. It achieves the following results on the evaluation set:

Loss: 2.1218
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: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	1	14.0503	20.0
3.5057	2.0	2	5.3734	4.0
3.5057	3.0	3	2.8914	1.0
1.0014	4.0	4	2.1218	1.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

mempal/xlsr-finetuned

xlsr-finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mempal/
xlsr-finetuned