README.md

metadata

license: apache-2.0
base_model: honzapucalek/p6_commonvoice_16_1
tags:
  - generated_from_trainer
datasets:
  - honzapucalek/p6_all
metrics:
  - wer
model-index:
  - name: p6_commonvoice_all
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: honzapucalek/p6_all cs
          type: honzapucalek/p6_all
          config: cs
          split: test
          args: cs
        metrics:
          - name: Wer
            type: wer
            value: 0.4069800980674935

p6_commonvoice_all

This model is a fine-tuned version of honzapucalek/p6_commonvoice_16_1 on the honzapucalek/p6_all cs dataset. It achieves the following results on the evaluation set:

• Loss: 1.2821
• Wer: 0.4070

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
0.0153	7.35	1000	0.9578	0.4361
0.0015	14.71	2000	1.1251	0.4246
0.0003	22.06	3000	1.1868	0.4280
0.0001	29.41	4000	1.2511	0.4087
0.0001	36.76	5000	1.2821	0.4070

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1