---
license: mit
base_model: Edmon02/speecht5_finetuned_voxpopuli_hy
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_voxpopuli_hy
  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_voxpopuli_hy

This model is a fine-tuned version of [Edmon02/speecht5_finetuned_voxpopuli_hy](https://huggingface.co/Edmon02/speecht5_finetuned_voxpopuli_hy) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6183

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch    | Step | Validation Loss |
|:-------------:|:--------:|:----:|:---------------:|
| 0.6306        | 57.1429  | 500  | 0.6027          |
| 0.6062        | 114.2857 | 1000 | 0.6026          |
| 0.5872        | 171.4286 | 1500 | 0.6059          |
| 0.5767        | 228.5714 | 2000 | 0.6197          |
| 0.5672        | 285.7143 | 2500 | 0.6145          |
| 0.5605        | 342.8571 | 3000 | 0.6194          |
| 0.5569        | 400.0    | 3500 | 0.6195          |
| 0.5552        | 457.1429 | 4000 | 0.6183          |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1