---
library_name: transformers
language:
- nl
license: mit
base_model: microsoft/speecht5_tts
tags:
- text-to-speech,speech-synthesis
- generated_from_trainer
datasets:
- fft_T5TSS_Andrej_voice
model-index:
- name: SpeechT5 TTS with Andrej Karpathy voice
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SpeechT5 TTS with Andrej Karpathy voice

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Fafadalilian/Andrej_Karpathy_voice_transcription dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4266

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3572        | 250.0  | 1000 | 0.4057          |
| 0.3299        | 500.0  | 2000 | 0.4226          |
| 0.3136        | 750.0  | 3000 | 0.4277          |
| 0.3165        | 1000.0 | 4000 | 0.4266          |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1