metadata
library_name: transformers
license: apache-2.0
base_model: davidilag/whisper-tiny-no-is-5k-steps
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-no-is-fo-100h-5k-steps_v2
results: []
whisper-tiny-no-is-fo-100h-5k-steps_v2
This model is a fine-tuned version of davidilag/whisper-tiny-no-is-5k-steps on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4825
- Wer: 37.0143
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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8277 | 0.2320 | 1000 | 0.7912 | 52.0838 |
| 0.6065 | 0.4640 | 2000 | 0.6015 | 43.4316 |
| 0.5406 | 0.6961 | 3000 | 0.5281 | 39.9990 |
| 0.5429 | 0.9281 | 4000 | 0.4930 | 37.6736 |
| 0.4447 | 1.1601 | 5000 | 0.4825 | 37.0143 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1