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-158-50epochs
  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-sw-common-voice-ndizi-158-50epochs

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: 1.6112

## 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: 1e-05
- 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: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 18   | 1.9359          |
| 1.7712        | 2.0   | 36   | 1.9211          |
| 1.7254        | 3.0   | 54   | 1.8970          |
| 1.7254        | 4.0   | 72   | 1.8737          |
| 1.6754        | 5.0   | 90   | 1.8498          |
| 1.6138        | 6.0   | 108  | 1.8281          |
| 1.5935        | 7.0   | 126  | 1.8054          |
| 1.5935        | 8.0   | 144  | 1.7885          |
| 1.5657        | 9.0   | 162  | 1.7707          |
| 1.4709        | 10.0  | 180  | 1.7551          |
| 1.4709        | 11.0  | 198  | 1.7389          |
| 1.5099        | 12.0  | 216  | 1.7300          |
| 1.5411        | 13.0  | 234  | 1.7178          |
| 1.4451        | 14.0  | 252  | 1.7097          |
| 1.4451        | 15.0  | 270  | 1.7003          |
| 1.3941        | 16.0  | 288  | 1.6966          |
| 1.403         | 17.0  | 306  | 1.6892          |
| 1.403         | 18.0  | 324  | 1.6833          |
| 1.434         | 19.0  | 342  | 1.6766          |
| 1.377         | 20.0  | 360  | 1.6718          |
| 1.349         | 21.0  | 378  | 1.6680          |
| 1.349         | 22.0  | 396  | 1.6610          |
| 1.3351        | 23.0  | 414  | 1.6592          |
| 1.421         | 24.0  | 432  | 1.6527          |
| 1.3146        | 25.0  | 450  | 1.6508          |
| 1.3146        | 26.0  | 468  | 1.6470          |
| 1.3393        | 27.0  | 486  | 1.6451          |
| 1.3039        | 28.0  | 504  | 1.6394          |
| 1.3039        | 29.0  | 522  | 1.6391          |
| 1.3886        | 30.0  | 540  | 1.6354          |
| 1.2247        | 31.0  | 558  | 1.6345          |
| 1.2959        | 32.0  | 576  | 1.6306          |
| 1.2959        | 33.0  | 594  | 1.6292          |
| 1.3447        | 34.0  | 612  | 1.6266          |
| 1.2708        | 35.0  | 630  | 1.6246          |
| 1.2708        | 36.0  | 648  | 1.6217          |
| 1.2882        | 37.0  | 666  | 1.6229          |
| 1.2963        | 38.0  | 684  | 1.6186          |
| 1.2696        | 39.0  | 702  | 1.6202          |
| 1.2696        | 40.0  | 720  | 1.6196          |
| 1.2019        | 41.0  | 738  | 1.6164          |
| 1.3452        | 42.0  | 756  | 1.6157          |
| 1.3452        | 43.0  | 774  | 1.6145          |
| 1.2787        | 44.0  | 792  | 1.6154          |
| 1.2513        | 45.0  | 810  | 1.6120          |
| 1.2227        | 46.0  | 828  | 1.6146          |
| 1.2227        | 47.0  | 846  | 1.6120          |
| 1.2523        | 48.0  | 864  | 1.6125          |
| 1.2498        | 49.0  | 882  | 1.6119          |
| 1.3094        | 50.0  | 900  | 1.6112          |


### Framework versions

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