metadata
base_model: HariprasathSB/indic-whisper-vulnerable
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: indic-whisper-vulnerable1
results: []
indic-whisper-vulnerable1
This model is a fine-tuned version of HariprasathSB/indic-whisper-vulnerable on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0378
- Wer: 72.3914
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: 4
- 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: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0175 | 0.8811 | 200 | 0.9461 | 75.1567 |
| 0.0294 | 1.7621 | 400 | 0.9488 | 75.5710 |
| 0.0227 | 2.6432 | 600 | 0.9532 | 73.7349 |
| 0.0123 | 3.5242 | 800 | 0.9391 | 74.6865 |
| 0.0059 | 4.4053 | 1000 | 1.0054 | 73.3318 |
| 0.0032 | 5.2863 | 1200 | 1.0145 | 75.1008 |
| 0.0022 | 6.1674 | 1400 | 1.0115 | 73.1975 |
| 0.0011 | 7.0485 | 1600 | 1.0310 | 72.8168 |
| 0.0008 | 7.9295 | 1800 | 1.0431 | 72.4250 |
| 0.0002 | 8.8106 | 2000 | 1.0378 | 72.3914 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1