zlm_b32_le4_s12000
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3178
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 2000
- training_steps: 12000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.5499 | 0.2094 | 500 | 0.4841 |
0.4812 | 0.4188 | 1000 | 0.4274 |
0.451 | 0.6283 | 1500 | 0.4068 |
0.424 | 0.8377 | 2000 | 0.3928 |
0.4261 | 1.0471 | 2500 | 0.3783 |
0.4013 | 1.2565 | 3000 | 0.3741 |
0.3949 | 1.4660 | 3500 | 0.3681 |
0.3874 | 1.6754 | 4000 | 0.3603 |
0.3871 | 1.8848 | 4500 | 0.3590 |
0.3963 | 2.0942 | 5000 | 0.3481 |
0.3821 | 2.3037 | 5500 | 0.3421 |
0.3765 | 2.5131 | 6000 | 0.3407 |
0.3718 | 2.7225 | 6500 | 0.3373 |
0.3718 | 2.9319 | 7000 | 0.3368 |
0.3579 | 3.1414 | 7500 | 0.3339 |
0.3559 | 3.3508 | 8000 | 0.3300 |
0.3602 | 3.5602 | 8500 | 0.3268 |
0.3637 | 3.7696 | 9000 | 0.3272 |
0.355 | 3.9791 | 9500 | 0.3236 |
0.3616 | 4.1885 | 10000 | 0.3223 |
0.3509 | 4.3979 | 10500 | 0.3195 |
0.3481 | 4.6073 | 11000 | 0.3197 |
0.3544 | 4.8168 | 11500 | 0.3181 |
0.35 | 5.0262 | 12000 | 0.3178 |
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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