metadata
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: MAScIR_elderly_whisper-medium-LoRA
results: []
MAScIR_elderly_whisper-medium-LoRA
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0224
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: 0.001
- 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: 200
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3209 | 0.19 | 100 | 0.3262 |
| 0.2482 | 0.37 | 200 | 0.3101 |
| 0.2726 | 0.56 | 300 | 0.3030 |
| 0.2288 | 0.74 | 400 | 0.2848 |
| 0.2014 | 0.93 | 500 | 0.2586 |
| 0.1277 | 1.11 | 600 | 0.2098 |
| 0.1054 | 1.3 | 700 | 0.1857 |
| 0.1056 | 1.48 | 800 | 0.1449 |
| 0.0842 | 1.67 | 900 | 0.1069 |
| 0.0692 | 1.85 | 1000 | 0.0874 |
| 0.0314 | 2.04 | 1100 | 0.0628 |
| 0.0265 | 2.22 | 1200 | 0.0515 |
| 0.0154 | 2.41 | 1300 | 0.0443 |
| 0.0127 | 2.59 | 1400 | 0.0382 |
| 0.0237 | 2.78 | 1500 | 0.0290 |
| 0.0119 | 2.96 | 1600 | 0.0224 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3