Adds example for training a TTS model on top of a LLM. (#2614)

* Adds example for training a TTS model on top of a LLM.

* Update examples/orpheus/finetune.yml

Co-authored-by: NanoCode012 <nano@axolotl.ai>

* Update examples/orpheus/finetune.yml

Co-authored-by: NanoCode012 <nano@axolotl.ai>

* Update README.md to clarify GPU requirements for finetuning Orpheus TTS model

* Update finetune.yml to use the new base model canopylabs/orpheus-3b-0.1-pretrained

* Update finetune.yml and README.md for consistency and clarity

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>

examples/orpheus/finetune.yml

@@ -0,0 +1,52 @@
+base_model: canopylabs/orpheus-3b-0.1-pretrained
+
+hub_model_id: <your-hub-model-id>
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+
+datasets:
+  - path: <your-hf-dataset-id>
+    type:  # leave empty to load pre-tokenized
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.01
+output_dir: ./outputs/out
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project:
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 8
+micro_batch_size: 4
+num_epochs: 3
+optimizer: adamw_torch_fused
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+bf16: auto
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+resume_from_checkpoint:
+logging_steps: 1
+flash_attention: true
+
+warmup_steps: 20
+evals_per_epoch: 5
+saves_per_epoch: 5
+weight_decay: 0.05
+
+special_tokens:
+  pad_token: <custom_token_7>