---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_mr
  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_mr

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4924

## 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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use 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: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.4823        | 11.9048 | 500  | 0.4724          |
| 0.4388        | 23.8095 | 1000 | 0.4662          |
| 0.4204        | 35.7143 | 1500 | 0.4590          |
| 0.3981        | 47.6190 | 2000 | 0.4720          |
| 0.3897        | 59.5238 | 2500 | 0.4791          |
| 0.3819        | 71.4286 | 3000 | 0.4767          |
| 0.3719        | 83.3333 | 3500 | 0.4906          |
| 0.3658        | 95.2381 | 4000 | 0.4924          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3