peft tensorboard safetensors generated_from_trainer base_model:smutuvi/whisper-small-sw-common-voice license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: smutuvi/whisper-small-sw-common-voice
model-index:
- name: whisper-small-sw-common-voice-ndizi-158-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-small-sw-common-voice-ndizi-158-1

This model is a fine-tuned version of [smutuvi/whisper-small-sw-common-voice](https://huggingface.co/smutuvi/whisper-small-sw-common-voice) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7815

## 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: 8
- eval_batch_size: 8
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 18   | 1.7182          |
| 1.6241        | 2.0   | 36   | 1.5595          |
| 1.2418        | 3.0   | 54   | 1.5196          |
| 1.2418        | 4.0   | 72   | 1.4782          |
| 0.91          | 5.0   | 90   | 1.5149          |
| 0.6419        | 6.0   | 108  | 1.5551          |
| 0.4734        | 7.0   | 126  | 1.5569          |
| 0.4734        | 8.0   | 144  | 1.6284          |
| 0.3298        | 9.0   | 162  | 1.6445          |
| 0.213         | 10.0  | 180  | 1.6347          |
| 0.213         | 11.0  | 198  | 1.7054          |
| 0.1689        | 12.0  | 216  | 1.7045          |
| 0.1384        | 13.0  | 234  | 1.6981          |
| 0.0672        | 14.0  | 252  | 1.7077          |
| 0.0672        | 15.0  | 270  | 1.7382          |
| 0.0454        | 16.0  | 288  | 1.7670          |
| 0.0386        | 17.0  | 306  | 1.7628          |
| 0.0386        | 18.0  | 324  | 1.7687          |
| 0.0247        | 19.0  | 342  | 1.7854          |
| 0.021         | 20.0  | 360  | 1.7815          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0