metadata
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-medium.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: articuplay1
results: []
articuplay1
This model is a fine-tuned version of openai/whisper-medium.en on the TIMIT dataset. It achieves the following results on the evaluation set:
- Loss: 0.2033
- Wer: 13.2533
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.9702 | 1.0 | 289 | 2.4632 | 95.9398 |
| 0.2224 | 2.0 | 578 | 0.2168 | 14.6648 |
| 0.149 | 3.0 | 867 | 0.1952 | 13.7123 |
| 0.1087 | 4.0 | 1156 | 0.1945 | 13.2154 |
| 0.0763 | 5.0 | 1445 | 0.2033 | 13.2533 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0