---
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