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---
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: 0.4386
## 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: 1e-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: 62
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4531 | 33.33 | 125 | 0.4395 |
| 0.4486 | 66.67 | 250 | 0.4406 |
| 0.4467 | 100.0 | 375 | 0.4400 |
| 0.4224 | 133.33 | 500 | 0.4386 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
|