metadata
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-ATCOSIM
results: []
whisper-medium-ATCOSIM
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0993
- Wer: 4.5786
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: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- training_steps: 12500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0448 | 1.0460 | 1000 | 0.0953 | 6.5544 |
| 0.0192 | 2.0921 | 2000 | 0.0926 | 4.5786 |
| 0.0098 | 3.1381 | 3000 | 0.1084 | 5.3088 |
| 0.0079 | 4.1841 | 4000 | 0.0894 | 4.9609 |
| 0.0051 | 5.2301 | 5000 | 0.0971 | 4.5658 |
| 0.0027 | 6.2762 | 6000 | 0.0946 | 4.2050 |
| 0.0023 | 7.3222 | 7000 | 0.1061 | 4.8406 |
| 0.001 | 8.3682 | 8000 | 0.1013 | 4.6302 |
| 0.0006 | 9.4142 | 9000 | 0.1041 | 4.8535 |
| 0.0004 | 10.4603 | 10000 | 0.1057 | 4.8063 |
| 0.0001 | 11.5063 | 11000 | 0.1033 | 4.6731 |
| 0.0002 | 12.5523 | 12000 | 0.0993 | 4.5786 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1