|
--- |
|
license: mit |
|
base_model: Edmon02/speecht5_finetuned_voxpopuli_hy |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: speecht5_finetuned_voxpopuli_hy |
|
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_voxpopuli_hy |
|
|
|
This model is a fine-tuned version of [Edmon02/speecht5_finetuned_voxpopuli_hy](https://huggingface.co./Edmon02/speecht5_finetuned_voxpopuli_hy) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4910 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- 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: 1000 |
|
- training_steps: 4000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:--------:|:----:|:---------------:| |
|
| 0.5849 | 33.8983 | 500 | 0.5350 | |
|
| 0.5475 | 67.7966 | 1000 | 0.5175 | |
|
| 0.5241 | 101.6949 | 1500 | 0.5054 | |
|
| 0.5105 | 135.5932 | 2000 | 0.4974 | |
|
| 0.5013 | 169.4915 | 2500 | 0.4956 | |
|
| 0.4971 | 203.3898 | 3000 | 0.4913 | |
|
| 0.4874 | 237.2881 | 3500 | 0.4884 | |
|
| 0.4872 | 271.1864 | 4000 | 0.4910 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.43.3 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
