File size: 1,611 Bytes
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license: apache-2.0
base_model: vasista22/whisper-hindi-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-hindi-small
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-hindi-small
This model is a fine-tuned version of [vasista22/whisper-hindi-small](https://huggingface.co/vasista22/whisper-hindi-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2106
- Wer: 16.3763
## 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: 1.75e-05
- train_batch_size: 16
- 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: 250
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0001 | 50.0 | 250 | 0.1925 | 16.5157 |
| 0.0 | 100.0 | 500 | 0.2046 | 16.2369 |
| 0.0 | 150.0 | 750 | 0.2092 | 16.3763 |
| 0.0 | 200.0 | 1000 | 0.2106 | 16.3763 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
|