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-ndizi-248
  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-ndizi-248

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: 1.4545

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 22
- total_train_batch_size: 352
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 1.5588          |
| No log        | 2.0   | 3    | 1.5582          |
| No log        | 3.0   | 4    | 1.5604          |
| No log        | 4.0   | 6    | 1.5600          |
| No log        | 5.0   | 8    | 1.5584          |
| No log        | 6.0   | 9    | 1.5564          |
| No log        | 7.0   | 11   | 1.5573          |
| No log        | 8.0   | 13   | 1.5578          |
| No log        | 9.0   | 14   | 1.5555          |
| No log        | 10.0  | 16   | 1.5526          |
| No log        | 11.0  | 17   | 1.5512          |
| No log        | 12.0  | 18   | 1.5543          |
| No log        | 13.0  | 20   | 1.5531          |
| No log        | 14.0  | 21   | 1.5537          |
| No log        | 15.0  | 23   | 1.5485          |
| 0.7121        | 16.0  | 25   | 1.5470          |
| 0.7121        | 17.0  | 26   | 1.5472          |
| 0.7121        | 18.0  | 28   | 1.5438          |
| 0.7121        | 19.0  | 30   | 1.5405          |
| 0.7121        | 20.0  | 31   | 1.5388          |
| 0.7121        | 21.0  | 33   | 1.5370          |
| 0.7121        | 22.0  | 34   | 1.5358          |
| 0.7121        | 23.0  | 35   | 1.5341          |
| 0.7121        | 24.0  | 37   | 1.5292          |
| 0.7121        | 25.0  | 38   | 1.5314          |
| 0.7121        | 26.0  | 40   | 1.5298          |
| 0.7121        | 27.0  | 42   | 1.5236          |
| 0.7121        | 28.0  | 43   | 1.5198          |
| 0.7121        | 29.0  | 45   | 1.5203          |
| 0.7121        | 30.0  | 47   | 1.5123          |
| 0.7121        | 31.0  | 48   | 1.5138          |
| 0.6959        | 32.0  | 50   | 1.5080          |
| 0.6959        | 33.0  | 51   | 1.5100          |
| 0.6959        | 34.0  | 52   | 1.5065          |
| 0.6959        | 35.0  | 54   | 1.5011          |
| 0.6959        | 36.0  | 55   | 1.4980          |
| 0.6959        | 37.0  | 57   | 1.4947          |
| 0.6959        | 38.0  | 59   | 1.4924          |
| 0.6959        | 39.0  | 60   | 1.4910          |
| 0.6959        | 40.0  | 62   | 1.4885          |
| 0.6959        | 41.0  | 64   | 1.4863          |
| 0.6959        | 42.0  | 65   | 1.4854          |
| 0.6959        | 43.0  | 67   | 1.4784          |
| 0.6959        | 44.0  | 68   | 1.4784          |
| 0.6959        | 45.0  | 69   | 1.4794          |
| 0.6959        | 46.0  | 71   | 1.4727          |
| 0.6959        | 47.0  | 72   | 1.4713          |
| 0.6959        | 48.0  | 74   | 1.4678          |
| 0.7021        | 49.0  | 76   | 1.4735          |
| 0.7021        | 50.0  | 77   | 1.4666          |
| 0.7021        | 51.0  | 79   | 1.4670          |
| 0.7021        | 52.0  | 81   | 1.4634          |
| 0.7021        | 53.0  | 82   | 1.4646          |
| 0.7021        | 54.0  | 84   | 1.4603          |
| 0.7021        | 55.0  | 85   | 1.4617          |
| 0.7021        | 56.0  | 86   | 1.4626          |
| 0.7021        | 57.0  | 88   | 1.4637          |
| 0.7021        | 58.0  | 89   | 1.4614          |
| 0.7021        | 59.0  | 91   | 1.4589          |
| 0.7021        | 60.0  | 93   | 1.4584          |
| 0.7021        | 61.0  | 94   | 1.4623          |
| 0.7021        | 62.0  | 96   | 1.4581          |
| 0.7021        | 63.0  | 98   | 1.4566          |
| 0.7021        | 64.0  | 99   | 1.4574          |
| 0.6465        | 64.43 | 100  | 1.4545          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0