End of training
Browse files- README.md +146 -0
- generation_config.json +9 -0
README.md
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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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generation_config.json
ADDED
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": 128001,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.52.3"
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}
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