metadata
library_name: transformers
license: apache-2.0
base_model: biodatlab/whisper-th-small-combined
tags:
- generated_from_trainer
model-index:
- name: outs
results: []
outs
This model is a fine-tuned version of biodatlab/whisper-th-small-combined on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4719
- Cer: 21.5882
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: 8e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.3285 | 1.0 | 1073 | 0.5326 | 33.8621 |
| 0.0955 | 2.0 | 2146 | 0.5181 | 25.8280 |
| 0.0441 | 3.0 | 3219 | 0.4719 | 21.5882 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1