metadata
base_model: openai/whisper-large-v2
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: >-
whisper-large-v2-ft-my_dataset_car100_owner12_snr0x8_mp3_voiceless-241021-v1
results: []
whisper-large-v2-ft-my_dataset_car100_owner12_snr0x8_mp3_voiceless-241021-v1
This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.0071
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 12.3903 | 1.0 | 1 | 12.2574 |
| 12.1892 | 2.0 | 2 | 11.1494 |
| 11.181 | 3.0 | 3 | 9.2009 |
| 9.1809 | 4.0 | 4 | 7.6209 |
| 7.5748 | 5.0 | 5 | 6.5046 |
| 6.6089 | 6.0 | 6 | 5.7967 |
| 5.8371 | 7.0 | 7 | 5.3477 |
| 5.6154 | 8.0 | 8 | 5.1478 |
| 5.4369 | 9.0 | 9 | 5.0496 |
| 5.1562 | 10.0 | 10 | 5.0071 |
Framework versions
- PEFT 0.13.0
- Transformers 4.45.1
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0