qwen3.5-elevenlabs-pointer
This model is a fine-tuned version of Karthikappi0011/qwen3.5-indian-tts-pointer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.8470
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 17.8342 | 1.0 | 9 | 12.6556 |
| 11.7210 | 2.0 | 18 | 10.1566 |
| 8.8148 | 3.0 | 27 | 9.3599 |
| 7.2657 | 4.0 | 36 | 9.2784 |
| 5.6602 | 5.0 | 45 | 9.4897 |
| 4.7645 | 6.0 | 54 | 9.6586 |
| 4.1506 | 7.0 | 63 | 9.7736 |
| 3.7674 | 8.0 | 72 | 9.8291 |
| 3.6931 | 9.0 | 81 | 9.8424 |
| 3.6364 | 10.0 | 90 | 9.8470 |
Framework versions
- Transformers 5.5.0
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2
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Karthikappi0011/qwen3.5-indian-tts-pointer