---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# speecht5_finetuned_librispeech_polish_epo10_batch4_gas3

This model is a fine-tuned version of [dawid511/speecht5_finetuned_librispeech_polish_epo10_batch4_gas2](https://huggingface.co/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