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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: tiny-audio-qformer
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-qformer
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: 0.2513
## 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 |
|:-------------:|:------:|:-----:|:---------------:|
| 3.6078 | 0.0168 | 1000 | 3.3166 |
| 1.9204 | 0.0335 | 2000 | 1.3223 |
| 0.5808 | 0.0503 | 3000 | 0.3887 |
| 0.4371 | 0.0670 | 4000 | 0.3685 |
| 0.4322 | 0.0838 | 5000 | 0.3489 |
| 0.4205 | 0.1005 | 6000 | 0.3477 |
| 0.4579 | 0.1173 | 7000 | 0.3328 |
| 0.4638 | 0.1341 | 8000 | 0.3205 |
| 0.4099 | 0.1508 | 9000 | 0.3320 |
| 0.3847 | 0.1676 | 10000 | 0.3239 |
| 0.4399 | 0.1843 | 11000 | 0.3229 |
| 0.389 | 0.2011 | 12000 | 0.3203 |
| 0.4119 | 0.2179 | 13000 | 0.3127 |
| 0.3982 | 0.2346 | 14000 | 0.3168 |
| 0.4111 | 0.2514 | 15000 | 0.3098 |
| 0.384 | 0.2681 | 16000 | 0.3187 |
| 0.3788 | 0.2849 | 17000 | 0.2990 |
| 0.3883 | 0.3016 | 18000 | 0.2989 |
| 0.3853 | 0.3184 | 19000 | 0.2907 |
| 0.353 | 0.3352 | 20000 | 0.2921 |
| 0.3598 | 0.3519 | 21000 | 0.2864 |
| 0.3581 | 0.3687 | 22000 | 0.2887 |
| 0.3985 | 0.3854 | 23000 | 0.2859 |
| 0.35 | 0.4022 | 24000 | 0.2767 |
| 0.3463 | 0.4189 | 25000 | 0.2793 |
| 0.4123 | 0.4357 | 26000 | 0.2819 |
| 0.3481 | 0.4525 | 27000 | 0.2757 |
| 0.3205 | 0.4692 | 28000 | 0.2728 |
| 0.3538 | 0.4860 | 29000 | 0.2726 |
| 0.3485 | 0.5027 | 30000 | 0.2763 |
| 0.3865 | 0.5195 | 31000 | 0.2724 |
| 0.3744 | 0.5363 | 32000 | 0.2671 |
| 0.3458 | 0.5530 | 33000 | 0.2702 |
| 0.3151 | 0.5698 | 34000 | 0.2622 |
| 0.3505 | 0.5865 | 35000 | 0.2632 |
| 0.339 | 0.6033 | 36000 | 0.2632 |
| 0.3511 | 0.6200 | 37000 | 0.2606 |
| 0.3205 | 0.6368 | 38000 | 0.2598 |
| 0.3586 | 0.6536 | 39000 | 0.2593 |
| 0.3196 | 0.6703 | 40000 | 0.2592 |
| 0.3499 | 0.6871 | 41000 | 0.2567 |
| 0.3773 | 0.7038 | 42000 | 0.2552 |
| 0.3271 | 0.7206 | 43000 | 0.2547 |
| 0.3329 | 0.7374 | 44000 | 0.2546 |
| 0.3539 | 0.7541 | 45000 | 0.2536 |
| 0.3616 | 0.7709 | 46000 | 0.2515 |
| 0.3242 | 0.7876 | 47000 | 0.2527 |
| 0.3248 | 0.8044 | 48000 | 0.2534 |
| 0.3105 | 0.8211 | 49000 | 0.2520 |
| 0.3311 | 0.8379 | 50000 | 0.2515 |
| 0.3074 | 0.8547 | 51000 | 0.2512 |
| 0.3085 | 0.8714 | 52000 | 0.2513 |
| 0.3233 | 0.8882 | 53000 | 0.2515 |
| 0.3161 | 0.9049 | 54000 | 0.2513 |
| 0.3405 | 0.9217 | 55000 | 0.2516 |
| 0.3169 | 0.9384 | 56000 | 0.2513 |
| 0.3281 | 0.9552 | 57000 | 0.2514 |
| 0.3278 | 0.9720 | 58000 | 0.2512 |
| 0.3054 | 0.9887 | 59000 | 0.2513 |
### Framework versions
- Transformers 4.57.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
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