metadata
library_name: transformers
license: mit
base_model: dawid511/speecht5_finetuned_librispeech_polish_epo10_batch2_gas5
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_librispeech_polish_epo10_batch2_gas6
results: []
speecht5_finetuned_librispeech_polish_epo10_batch2_gas6
This model is a fine-tuned version of dawid511/speecht5_finetuned_librispeech_polish_epo10_batch2_gas5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3684
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 6
- 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: 200
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3292 | 1.5294 | 200 | 0.3811 |
| 2.2904 | 3.0537 | 400 | 0.3777 |
| 2.3168 | 4.5831 | 600 | 0.3775 |
| 2.2242 | 6.1074 | 800 | 0.3743 |
| 2.2363 | 7.6368 | 1000 | 0.3721 |
| 2.1448 | 9.1611 | 1200 | 0.3684 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0