speecht5_finetuned_sip_ai_v3
This model is a fine-tuned version of guilhermebastos96/speecht5_finetuned_sip_ai_v2 on the multilingual_librispeech dataset. It achieves the following results on the evaluation set:
- Loss: 0.3439
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 |
---|---|---|---|
0.3996 | 1.68 | 1000 | 0.3638 |
0.3885 | 3.35 | 2000 | 0.3554 |
0.3785 | 5.03 | 3000 | 0.3508 |
0.3764 | 6.71 | 4000 | 0.3488 |
0.3732 | 8.38 | 5000 | 0.3485 |
0.3806 | 10.06 | 6000 | 0.3460 |
0.3739 | 11.74 | 7000 | 0.3454 |
0.3703 | 13.41 | 8000 | 0.3458 |
0.3732 | 15.09 | 9000 | 0.3445 |
0.3695 | 16.76 | 10000 | 0.3439 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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