metadata
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: []
TK_Whisper_ASR
This model is a fine-tuned version of 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