metadata
library_name: transformers
language:
- ne
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
model-index:
- name: Whisper Small Ne - Jenny Poudel
results: []
Whisper Small Ne - Jenny Poudel
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: 0.3732
- Cer: 10.4532
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: 16
- 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: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.5845 | 1.7857 | 100 | 0.5426 | 23.4003 |
| 0.306 | 3.5714 | 200 | 0.3589 | 15.5604 |
| 0.1432 | 5.3571 | 300 | 0.3052 | 12.7828 |
| 0.0634 | 7.1429 | 400 | 0.3039 | 12.4767 |
| 0.0331 | 8.9286 | 500 | 0.3155 | 11.6404 |
| 0.0134 | 10.7143 | 600 | 0.3395 | 10.8938 |
| 0.0047 | 12.5 | 700 | 0.3492 | 10.1023 |
| 0.0018 | 14.2857 | 800 | 0.3679 | 10.4682 |
| 0.0008 | 16.0714 | 900 | 0.3702 | 10.4980 |
| 0.0006 | 17.8571 | 1000 | 0.3732 | 10.4532 |
Framework versions
- Transformers 4.44.2
- Pytorch 1.13.1+cu117
- Datasets 2.21.0
- Tokenizers 0.19.1