---
language:
- he
license: apache-2.0
library_name: peft
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- imvladikon/hebrew_speech_kan
base_model: openai/whisper-tiny
model-index:
- name: TK_Whisper_ASR
  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. -->

# TK_Whisper_ASR

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the KAN Hebrew Speech dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4256

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 6.4006          |
| No log        | 2.0   | 2    | 6.4006          |
| No log        | 3.0   | 3    | 6.4006          |
| No log        | 4.0   | 4    | 6.4006          |
| No log        | 5.0   | 5    | 6.4006          |
| No log        | 6.0   | 6    | 6.3966          |
| No log        | 7.0   | 7    | 6.3910          |
| No log        | 8.0   | 8    | 6.3844          |
| No log        | 9.0   | 9    | 6.3857          |
| No log        | 10.0  | 10   | 6.3694          |
| No log        | 11.0  | 11   | 6.3381          |
| No log        | 12.0  | 12   | 6.3115          |
| No log        | 13.0  | 13   | 6.2788          |
| No log        | 14.0  | 14   | 6.2411          |
| No log        | 15.0  | 15   | 6.1932          |
| No log        | 16.0  | 16   | 6.1552          |
| No log        | 17.0  | 17   | 6.1146          |
| No log        | 18.0  | 18   | 6.0711          |
| No log        | 19.0  | 19   | 6.0122          |
| No log        | 20.0  | 20   | 5.9643          |
| No log        | 21.0  | 21   | 5.9193          |
| No log        | 22.0  | 22   | 5.8783          |
| No log        | 23.0  | 23   | 5.8258          |
| No log        | 24.0  | 24   | 5.7742          |
| 6.7306        | 25.0  | 25   | 5.7174          |
| 6.7306        | 26.0  | 26   | 5.6629          |
| 6.7306        | 27.0  | 27   | 5.6041          |
| 6.7306        | 28.0  | 28   | 5.5453          |
| 6.7306        | 29.0  | 29   | 5.4896          |
| 6.7306        | 30.0  | 30   | 5.4256          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0