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metadata
library_name: transformers
license: mit
base_model: dawid511/speecht5_finetuned_librispeech_polish_epo10_batch4_gas2
tags:
  - generated_from_trainer
model-index:
  - name: speecht5_finetuned_librispeech_polish_epo10_batch4_gas3
    results: []

speecht5_finetuned_librispeech_polish_epo10_batch4_gas3

This model is a fine-tuned version of dawid511/speecht5_finetuned_librispeech_polish_epo10_batch4_gas2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3682

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: 4
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 3
  • total_train_batch_size: 12
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 300
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.1061 2.2916 300 0.3774
1.0878 4.5831 600 0.3735
1.0661 6.8747 900 0.3716
1.0186 9.1611 1200 0.3682

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0