metadata
library_name: transformers
license: mit
base_model: emirhanbilgic/speecht5_finetuned_emirhan_tr
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_emirhan_tr
results: []
speecht5_finetuned_emirhan_tr
This model is a fine-tuned version of emirhanbilgic/speecht5_finetuned_emirhan_tr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2938
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: 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: 100
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3491 | 0.4545 | 100 | 0.3301 |
| 0.345 | 0.9091 | 200 | 0.3119 |
| 0.3304 | 1.3636 | 300 | 0.3075 |
| 0.3215 | 1.8182 | 400 | 0.3012 |
| 0.3139 | 2.2727 | 500 | 0.2938 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1