metadata
license: mit
base_model: guilhermebastos96/speecht5_finetuned_sip_ai_v3
tags:
- generated_from_trainer
model-index:
- name: speecht5_finetuned_sip_ai_v4
results: []
speecht5_finetuned_sip_ai_v4
This model is a fine-tuned version of guilhermebastos96/speecht5_finetuned_sip_ai_v3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4511
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: 1e-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: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5295 | 0.29 | 1000 | 0.4912 |
| 0.506 | 0.58 | 2000 | 0.4767 |
| 0.5004 | 0.87 | 3000 | 0.4713 |
| 0.4991 | 1.16 | 4000 | 0.4634 |
| 0.4766 | 1.45 | 5000 | 0.4596 |
| 0.4923 | 1.74 | 6000 | 0.4569 |
| 0.4808 | 2.03 | 7000 | 0.4532 |
| 0.4832 | 2.32 | 8000 | 0.4545 |
| 0.4763 | 2.61 | 9000 | 0.4524 |
| 0.4859 | 2.91 | 10000 | 0.4511 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2