metadata
library_name: transformers
license: apache-2.0
base_model: biodatlab/whisper-th-medium-combined
tags:
- generated_from_trainer
model-index:
- name: fine_tuned_asr_model
results: []
fine_tuned_asr_model
This model is a fine-tuned version of biodatlab/whisper-th-medium-combined on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0906
- Cer: 5.7861
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.524 | 1.4706 | 100 | 0.0896 | 4.7486 |
| 0.1451 | 2.9412 | 200 | 0.0907 | 4.9049 |
| 0.0913 | 4.4118 | 300 | 0.0863 | 4.9947 |
| 0.0587 | 5.8824 | 400 | 0.0857 | 5.8460 |
| 0.0659 | 7.3529 | 500 | 0.1056 | 10.0725 |
| 0.0551 | 8.8235 | 600 | 0.0895 | 6.0555 |
| 0.0225 | 10.2941 | 700 | 0.0991 | 5.5899 |
| 0.0281 | 11.7647 | 800 | 0.0900 | 5.3006 |
| 0.022 | 13.2353 | 900 | 0.0887 | 6.4013 |
| 0.0213 | 14.7059 | 1000 | 0.0906 | 5.7861 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1