metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_mr
results: []
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