metadata
base_model: openai/whisper-tiny
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper-tiny-akan-lora
results: []
whisper-tiny-akan-lora
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2527
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: 0.0001
- train_batch_size: 8
- 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: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.183 | 2.5 | 250 | 1.8650 |
| 1.5663 | 5.0 | 500 | 1.5657 |
| 1.4027 | 7.5 | 750 | 1.4221 |
| 1.2577 | 10.0 | 1000 | 1.3457 |
| 1.2005 | 12.5 | 1250 | 1.3022 |
| 1.1409 | 15.0 | 1500 | 1.2743 |
| 1.1152 | 17.5 | 1750 | 1.2585 |
| 1.0965 | 20.0 | 2000 | 1.2527 |
Framework versions
- PEFT 0.13.1.dev0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1