metadata
license: apache-2.0
base_model: HariprasathSB/whisper-tamil-vulnerable
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tamil-vulnerablee
results: []
whisper-tamil-vulnerablee
This model is a fine-tuned version of HariprasathSB/whisper-tamil-vulnerable on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1757
- Wer: 76.6682
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0216 | 1.7544 | 200 | 1.0816 | 78.3139 |
| 0.0191 | 3.5088 | 400 | 1.0777 | 79.3327 |
| 0.0069 | 5.2632 | 600 | 1.1236 | 77.1048 |
| 0.003 | 7.0175 | 800 | 1.1772 | 78.3699 |
| 0.0004 | 8.7719 | 1000 | 1.1757 | 76.6682 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1