| | --- |
| | library_name: transformers |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: outputs/Simp_22_1_2026 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<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) |
| | <details><summary>See axolotl config</summary> |
| |
|
| | axolotl version: `0.8.0` |
| | ```yaml |
| | base_model: /root/anhnct/Spark-TTS-finetune/extend_vocab_pretrained/LLM |
| | # Automatically upload checkpoint and final model to HF |
| | # hub_model_id: username/custom_model_name |
| | |
| | trust_remote_code: true |
| | |
| | strict: false |
| | |
| | datasets: |
| | - path: . |
| | data_files: ["/root/anhnct/Spark-TTS-finetune/PROMPTS/product_ft_data/elevenlab_dataset_3.jsonl", "/root/anhnct/Spark-TTS-finetune/PROMPTS/product_ft_data/elevenlab_dataset_4.jsonl", "/root/anhnct/Spark-TTS-finetune/PROMPTS/product_ft_data/elevenlab_dataset_reflex.jsonl", "/root/anhnct/Spark-TTS-finetune/PROMPTS/product_ft_data/elevenlab_slow.jsonl", "/root/anhnct/Spark-TTS-finetune/PROMPTS/product_ft_data/hf_song_ngu.jsonl", "/root/anhnct/Spark-TTS-finetune/PROMPTS/product_ft_data/LibriTTS.jsonl"] |
| | type: completion |
| | |
| | dataset_prepared_path: |
| | val_set_size: 0.05 |
| | output_dir: ./outputs/Simp_22_1_2026 |
| | |
| | |
| | sequence_len: 2048 |
| | sample_packing: true |
| | eval_sample_packing: false |
| | pad_to_sequence_len: true |
| | |
| | wandb_project: |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: |
| | wandb_log_model: |
| | |
| | gradient_accumulation_steps: 1 |
| | micro_batch_size: 8 |
| | num_epochs: 10 |
| | optimizer: adamw_torch_fused |
| | lr_scheduler: cosine |
| | learning_rate: 0.0002 |
| | |
| | train_on_inputs: false |
| | group_by_length: false |
| | bf16: auto |
| | fp16: |
| | tf32: true |
| | |
| | gradient_checkpointing: false |
| | gradient_checkpointing_kwargs: |
| | use_reentrant: false |
| | early_stopping_patience: |
| | resume_from_checkpoint: |
| | local_rank: |
| | logging_steps: 50 |
| | xformers_attention: |
| | flash_attention: true |
| | |
| | warmup_steps: 10 |
| | evals_per_epoch: 1 |
| | save_steps: 10000 |
| | save_total_limit: 100 |
| | debug: |
| | deepspeed: |
| | weight_decay: 0.0 |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # outputs/Simp_22_1_2026 |
| | |
| | This model was trained from scratch on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 5.3568 |
| | |
| | ## 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: 0.0002 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Use 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: 10.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:-----:|:---------------:| |
| | | No log | 0.0005 | 1 | 5.6361 | |
| | | 4.5777 | 1.0 | 2216 | 5.3235 | |
| | | 4.5116 | 2.0 | 4432 | 5.3313 | |
| | | 4.4611 | 3.0 | 6648 | 5.3390 | |
| | | 4.4496 | 4.0 | 8864 | 5.3471 | |
| | | 4.4141 | 5.0 | 11080 | 5.3521 | |
| | | 4.4031 | 6.0 | 13296 | 5.3541 | |
| | | 4.4174 | 7.0 | 15512 | 5.3562 | |
| | | 4.4071 | 8.0 | 17728 | 5.3561 | |
| | | 4.4179 | 9.0 | 19944 | 5.3567 | |
| | | 4.3882 | 10.0 | 22160 | 5.3568 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.50.3 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.5.0 |
| | - Tokenizers 0.21.4 |
| | |
