metadata

license: apache-2.0
base_model: honzapucalek/p6_commonvoice_16_1
tags:
  - generated_from_trainer
datasets:
  - honzapucalek/p6_hc
metrics:
  - wer
model-index:
  - name: p6_commonvoice_hc
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: honzapucalek/p6_hc cs
          type: honzapucalek/p6_hc
          config: cs
          split: test
          args: cs
        metrics:
          - name: Wer
            type: wer
            value: 0.17960769800148038

p6_commonvoice_hc

This model is a fine-tuned version of honzapucalek/p6_commonvoice_16_1 on the honzapucalek/p6_hc cs dataset. It achieves the following results on the evaluation set:

Loss: 0.5960
Wer: 0.1796

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0024	14.49	1000	0.4506	0.2335
0.0024	28.99	2000	0.4568	0.1868
0.0001	43.48	3000	0.5552	0.1823
0.0001	57.97	4000	0.5876	0.1807
0.0001	72.46	5000	0.5960	0.1796

Framework versions

Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1