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---
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
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