---
library_name: transformers
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: pathe_tts-RB-data_V0
  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. -->

# pathe_tts-RB-data_V0

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co./microsoft/speecht5_tts) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4809

## 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: Use OptimizerNames.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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.6129        | 6.6715  | 700  | 0.4851          |
| 0.5137        | 13.3357 | 1400 | 0.4725          |
| 0.4888        | 20.0    | 2100 | 0.4774          |
| 0.4775        | 26.6715 | 2800 | 0.4734          |
| 0.4687        | 33.3357 | 3500 | 0.4767          |
| 0.4673        | 40.0    | 4200 | 0.4791          |
| 0.4634        | 46.6715 | 4900 | 0.4809          |


### Framework versions

- Transformers 4.49.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0