peft pytorch safetensors whisper 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
  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

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: 1.1051

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0783        | 0.08  | 100  | 1.1404          |
| 1.2105        | 0.16  | 200  | 1.1282          |
| 1.189         | 0.25  | 300  | 1.1203          |
| 1.0533        | 0.33  | 400  | 1.1164          |
| 1.0932        | 0.41  | 500  | 1.1135          |
| 1.1618        | 0.49  | 600  | 1.1108          |
| 1.165         | 0.57  | 700  | 1.1090          |
| 1.1655        | 0.65  | 800  | 1.1076          |
| 1.0547        | 0.74  | 900  | 1.1066          |
| 1.1679        | 0.82  | 1000 | 1.1058          |
| 1.0539        | 0.9   | 1100 | 1.1053          |
| 1.0709        | 0.98  | 1200 | 1.1051          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0