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--- |
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library_name: transformers |
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base_model: syvai/tts-v1-pretrained |
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tags: |
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- axolotl |
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- generated_from_trainer |
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datasets: |
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- syvai/zac-coral-tts |
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- syvai/zac-dk-voice-pro |
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- syvai/zac-dk-voice-single-speaker |
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model-index: |
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- name: tts-v0.3-finetuned |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.10.0` |
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```yaml |
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base_model: syvai/tts-v1-pretrained |
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# Automatically upload checkpoint and final model to HF |
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hub_model_id: syvai/tts-v0.3-finetuned |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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liger_rope: true |
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liger_rms_norm: true |
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liger_glu_activation: true |
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liger_fused_linear_cross_entropy: true |
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datasets: |
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- path: syvai/zac-coral-tts |
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type: |
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- path: syvai/zac-dk-voice-pro |
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type: |
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- path: syvai/zac-dk-voice-single-speaker |
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type: |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.01 |
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eval_sample_packing: False |
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output_dir: ./outputs/finetuned |
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sequence_len: 8196 |
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sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: orph |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 16 |
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micro_batch_size: 2 |
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num_epochs: 3 |
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optimizer: adamw_torch_fused |
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lr_scheduler: cosine |
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learning_rate: 2e-5 |
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bf16: auto |
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tf32: false |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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resume_from_checkpoint: |
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logging_steps: 1 |
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flash_attention: true |
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warmup_steps: 3 |
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evals_per_epoch: 5 |
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saves_per_epoch: 5 |
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weight_decay: 0.05 |
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special_tokens: |
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pad_token: <custom_token_7> |
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``` |
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</details><br> |
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# tts-v0.3-finetuned |
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This model is a fine-tuned version of [syvai/tts-v1-pretrained](https://huggingface.co/syvai/tts-v1-pretrained) on the syvai/zac-coral-tts, the syvai/zac-dk-voice-pro and the syvai/zac-dk-voice-single-speaker datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.3861 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 3 |
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- training_steps: 159 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0 | 0 | 4.9462 | |
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| 4.6427 | 0.2042 | 11 | 4.6525 | |
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| 4.5404 | 0.4084 | 22 | 4.5458 | |
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| 4.4701 | 0.6125 | 33 | 4.4809 | |
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| 4.4139 | 0.8167 | 44 | 4.4405 | |
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| 4.4146 | 1.0186 | 55 | 4.4182 | |
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| 4.4021 | 1.2227 | 66 | 4.4045 | |
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| 4.3951 | 1.4269 | 77 | 4.3957 | |
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| 4.3845 | 1.6311 | 88 | 4.3906 | |
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| 4.3651 | 1.8353 | 99 | 4.3880 | |
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| 4.3924 | 2.0371 | 110 | 4.3867 | |
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| 4.3551 | 2.2413 | 121 | 4.3865 | |
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| 4.3478 | 2.4455 | 132 | 4.3861 | |
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| 4.3894 | 2.6497 | 143 | 4.3859 | |
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| 4.3801 | 2.8538 | 154 | 4.3861 | |
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### Framework versions |
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- Transformers 4.52.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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