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---
license: apache-2.0
base_model: openai/whisper-medium.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-hi
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-small-hi
This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0017
- Wer: 1.3384
## 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: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 2.7899 | 4.1667 | 100 | 2.3530 | 21.4149 |
| 0.8377 | 8.3333 | 200 | 0.7500 | 4.2065 |
| 0.0599 | 12.5 | 300 | 0.0394 | 1.9120 |
| 0.0163 | 16.6667 | 400 | 0.0151 | 2.1033 |
| 0.0068 | 20.8333 | 500 | 0.0023 | 1.1472 |
| 0.0031 | 25.0 | 600 | 0.0018 | 1.3384 |
| 0.0027 | 29.1667 | 700 | 0.0023 | 1.3384 |
| 0.0018 | 33.3333 | 800 | 0.0020 | 1.3384 |
| 0.003 | 37.5 | 900 | 0.0017 | 1.3384 |
| 0.0009 | 41.6667 | 1000 | 0.0017 | 1.3384 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0a0+ebedce2
- Datasets 2.19.2
- Tokenizers 0.19.1
|