metadata
library_name: transformers
license: apache-2.0
base_model: biodatlab/whisper-th-medium-combined
tags:
- generated_from_trainer
model-index:
- name: outs
results: []
outs
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: 0.0874
- Cer: 5.5267
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: 16
- seed: 42
- gradient_accumulation_steps: 2.0
- total_train_batch_size: 32.0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| No log | 0.9926 | 67 | 0.0899 | 4.9847 |
| 0.2506 | 2.0 | 135 | 0.0949 | 4.8051 |
| 0.085 | 2.9926 | 202 | 0.0822 | 4.3363 |
| 0.085 | 4.0 | 270 | 0.0841 | 5.2042 |
| 0.0456 | 4.9926 | 337 | 0.0896 | 9.6136 |
| 0.0392 | 6.0 | 405 | 0.0875 | 4.7087 |
| 0.0392 | 6.9926 | 472 | 0.0879 | 4.7320 |
| 0.0296 | 8.0 | 540 | 0.0874 | 5.3804 |
| 0.0276 | 8.9926 | 607 | 0.0860 | 5.2873 |
| 0.0276 | 9.9259 | 670 | 0.0874 | 5.5267 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1