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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
model-index:
- name: Whisper-small-new
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. -->
# Whisper-small-new
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0020
## 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: 0.001
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1302 | 1.0 | 137 | 0.0964 |
| 0.0897 | 2.0 | 274 | 0.0545 |
| 0.0691 | 3.0 | 411 | 0.0396 |
| 0.0482 | 4.0 | 548 | 0.0279 |
| 0.0374 | 5.0 | 685 | 0.0174 |
| 0.0189 | 6.0 | 822 | 0.0096 |
| 0.0108 | 7.0 | 959 | 0.0063 |
| 0.004 | 8.0 | 1096 | 0.0039 |
| 0.0039 | 9.0 | 1233 | 0.0024 |
| 0.0026 | 10.0 | 1370 | 0.0020 |
### Framework versions
- PEFT 0.8.0
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |