---
license: mit
base_model: microsoft/speecht5_tts
tags:
- generated_from_trainer
model-index:
- name: zlm_b32_le4_s8000
  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. -->

# zlm_b32_le4_s8000

This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3262

## 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: 0.0001
- 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: 2000
- training_steps: 8000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5552        | 0.2094 | 500  | 0.4883          |
| 0.4913        | 0.4188 | 1000 | 0.4266          |
| 0.446         | 0.6283 | 1500 | 0.3975          |
| 0.4222        | 0.8377 | 2000 | 0.3949          |
| 0.4273        | 1.0471 | 2500 | 0.3829          |
| 0.4028        | 1.2565 | 3000 | 0.3674          |
| 0.3941        | 1.4660 | 3500 | 0.3616          |
| 0.3871        | 1.6754 | 4000 | 0.3519          |
| 0.3828        | 1.8848 | 4500 | 0.3493          |
| 0.3954        | 2.0942 | 5000 | 0.3490          |
| 0.381         | 2.3037 | 5500 | 0.3398          |
| 0.372         | 2.5131 | 6000 | 0.3372          |
| 0.3642        | 2.7225 | 6500 | 0.3314          |
| 0.3692        | 2.9319 | 7000 | 0.3308          |
| 0.3555        | 3.1414 | 7500 | 0.3283          |
| 0.3536        | 3.3508 | 8000 | 0.3262          |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1