---
license: mit
base_model: Edmon02/speecht5_finetuned_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_hy](https://huggingface.co/Edmon02/speecht5_finetuned_hy) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6214

## 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 0.7717        | 4.4199  | 500  | 0.7195          |
| 0.7361        | 8.8398  | 1000 | 0.6810          |
| 0.7088        | 13.2597 | 1500 | 0.6597          |
| 0.6942        | 17.6796 | 2000 | 0.6465          |
| 0.6835        | 22.0994 | 2500 | 0.6367          |
| 0.6753        | 26.5193 | 3000 | 0.6309          |
| 0.6734        | 30.9392 | 3500 | 0.6245          |
| 0.6747        | 35.3591 | 4000 | 0.6214          |


### Framework versions

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