---
base_model: openai/whisper-base
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-base-akan-v1
  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-base-akan-v1

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0715

## 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: 5e-05
- train_batch_size: 16
- 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
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8659        | 5.0   | 250  | 1.6244          |
| 1.2252        | 10.0  | 500  | 1.3473          |
| 1.0708        | 15.0  | 750  | 1.2260          |
| 0.922         | 20.0  | 1000 | 1.1617          |
| 0.8532        | 25.0  | 1250 | 1.1217          |
| 0.7747        | 30.0  | 1500 | 1.0973          |
| 0.7356        | 35.0  | 1750 | 1.0864          |
| 0.6894        | 40.0  | 2000 | 1.0767          |
| 0.6671        | 45.0  | 2250 | 1.0746          |
| 0.642         | 50.0  | 2500 | 1.0719          |
| 0.6306        | 55.0  | 2750 | 1.0707          |
| 0.6225        | 60.0  | 3000 | 1.0715          |


### Framework versions

- PEFT 0.13.2.dev0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1