metadata
library_name: peft
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small NSC part 1,2,3 (500 steps) - Jarrett Er
results: []
Whisper Small NSC part 1,2,3 (500 steps) - Jarrett Er
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3612
- Wer: 12.4283
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: 0.00025
- train_batch_size: 16
- eval_batch_size: 16
- 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: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.806 | 0.3802 | 100 | 0.7674 | 22.7887 |
| 0.6965 | 0.7605 | 200 | 0.6955 | 20.0655 |
| 0.42 | 1.1407 | 300 | 0.5785 | 17.7723 |
| 0.402 | 1.5209 | 400 | 0.4303 | 14.3939 |
| 0.3231 | 1.9011 | 500 | 0.3612 | 12.4283 |
Framework versions
- PEFT 0.14.0
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.1.dev0
- Tokenizers 0.20.3