---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: tiny-audio-moe-shared
  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. -->

# tiny-audio-moe-shared

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2364

## 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: 0.0003
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 18
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.6015        | 0.0168 | 1000  | 0.5517          |
| 0.4664        | 0.0335 | 2000  | 0.3880          |
| 0.5131        | 0.0503 | 3000  | 0.3627          |
| 0.3958        | 0.0670 | 4000  | 0.3375          |
| 0.4086        | 0.0838 | 5000  | 0.3291          |
| 0.3871        | 0.1005 | 6000  | 0.3227          |
| 0.4305        | 0.1173 | 7000  | 0.3183          |
| 0.4414        | 0.1341 | 8000  | 0.3132          |
| 0.3828        | 0.1508 | 9000  | 0.3097          |
| 0.3562        | 0.1676 | 10000 | 0.2963          |
| 0.4145        | 0.1843 | 11000 | 0.3021          |
| 0.3633        | 0.2011 | 12000 | 0.2975          |
| 0.3743        | 0.2179 | 13000 | 0.2941          |
| 0.3715        | 0.2346 | 14000 | 0.2932          |
| 0.3788        | 0.2514 | 15000 | 0.2806          |
| 0.3532        | 0.2681 | 16000 | 0.2816          |
| 0.348         | 0.2849 | 17000 | 0.2816          |
| 0.3472        | 0.3016 | 18000 | 0.2765          |
| 0.3541        | 0.3184 | 19000 | 0.2714          |
| 0.3225        | 0.3352 | 20000 | 0.2744          |
| 0.3369        | 0.3519 | 21000 | 0.2738          |
| 0.3409        | 0.3687 | 22000 | 0.2723          |
| 0.3787        | 0.3854 | 23000 | 0.2684          |
| 0.323         | 0.4022 | 24000 | 0.2645          |
| 0.3286        | 0.4189 | 25000 | 0.2655          |
| 0.379         | 0.4357 | 26000 | 0.2681          |
| 0.3253        | 0.4525 | 27000 | 0.2634          |
| 0.2972        | 0.4692 | 28000 | 0.2625          |
| 0.3249        | 0.4860 | 29000 | 0.2578          |
| 0.3264        | 0.5027 | 30000 | 0.2611          |
| 0.3591        | 0.5195 | 31000 | 0.2580          |
| 0.3503        | 0.5363 | 32000 | 0.2531          |
| 0.3184        | 0.5530 | 33000 | 0.2542          |
| 0.2927        | 0.5698 | 34000 | 0.2474          |
| 0.328         | 0.5865 | 35000 | 0.2503          |
| 0.3113        | 0.6033 | 36000 | 0.2509          |
| 0.3223        | 0.6200 | 37000 | 0.2476          |
| 0.2963        | 0.6368 | 38000 | 0.2457          |
| 0.328         | 0.6536 | 39000 | 0.2432          |
| 0.2949        | 0.6703 | 40000 | 0.2428          |
| 0.3282        | 0.6871 | 41000 | 0.2413          |
| 0.3534        | 0.7038 | 42000 | 0.2408          |
| 0.3046        | 0.7206 | 43000 | 0.2402          |
| 0.3071        | 0.7374 | 44000 | 0.2398          |
| 0.3252        | 0.7541 | 45000 | 0.2385          |
| 0.339         | 0.7709 | 46000 | 0.2379          |
| 0.2964        | 0.7876 | 47000 | 0.2374          |
| 0.3086        | 0.8044 | 48000 | 0.2378          |
| 0.2796        | 0.8211 | 49000 | 0.2370          |
| 0.3071        | 0.8379 | 50000 | 0.2367          |
| 0.2864        | 0.8547 | 51000 | 0.2365          |
| 0.2841        | 0.8714 | 52000 | 0.2363          |
| 0.302         | 0.8882 | 53000 | 0.2363          |
| 0.2927        | 0.9049 | 54000 | 0.2364          |
| 0.3095        | 0.9217 | 55000 | 0.2364          |
| 0.2893        | 0.9384 | 56000 | 0.2364          |
| 0.3039        | 0.9552 | 57000 | 0.2363          |
| 0.3044        | 0.9720 | 58000 | 0.2364          |
| 0.2853        | 0.9887 | 59000 | 0.2364          |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1