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---
language:
- he
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: he
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. -->
# he
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0111
- Wer: 37.4517
## 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: 4e-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
- training_steps: 1500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0155 | 0.02 | 50 | 0.0160 | 82.2919 |
| 0.0191 | 0.04 | 100 | 0.0271 | 41.2986 |
| 0.0194 | 0.06 | 150 | 0.0244 | 40.1791 |
| 0.0179 | 0.07 | 200 | 0.0223 | 34.4189 |
| 0.0157 | 0.09 | 250 | 0.0259 | 25.5445 |
| 0.016 | 0.11 | 300 | 0.0248 | 33.1773 |
| 0.0139 | 0.13 | 350 | 0.0214 | 29.3914 |
| 0.02 | 0.15 | 400 | 0.0223 | 37.3092 |
| 0.0149 | 0.17 | 450 | 0.0243 | 55.5669 |
| 0.0147 | 0.18 | 500 | 0.0210 | 70.0997 |
| 0.0134 | 0.2 | 550 | 0.0303 | 69.6519 |
| 0.0122 | 0.22 | 600 | 0.0182 | 47.2420 |
| 0.0104 | 0.24 | 650 | 0.0213 | 32.7906 |
| 0.0114 | 0.26 | 700 | 0.0171 | 25.8091 |
| 0.01 | 0.28 | 750 | 0.0171 | 40.4641 |
| 0.0071 | 0.3 | 800 | 0.0157 | 45.0641 |
| 0.0069 | 0.31 | 850 | 0.0172 | 49.5217 |
| 0.008 | 0.33 | 900 | 0.0169 | 48.7075 |
| 0.0056 | 0.35 | 950 | 0.0158 | 42.0721 |
| 0.0074 | 0.37 | 1000 | 0.0141 | 37.8587 |
| 0.0056 | 0.39 | 1050 | 0.0143 | 30.9994 |
| 0.0057 | 0.41 | 1100 | 0.0140 | 37.8995 |
| 0.0052 | 0.42 | 1150 | 0.0136 | 36.7393 |
| 0.003 | 0.44 | 1200 | 0.0127 | 34.9685 |
| 0.0034 | 0.46 | 1250 | 0.0119 | 35.5994 |
| 0.0041 | 0.48 | 1300 | 0.0118 | 37.6756 |
| 0.005 | 0.5 | 1350 | 0.0113 | 38.1641 |
| 0.0037 | 0.52 | 1400 | 0.0110 | 38.4490 |
| 0.0021 | 0.54 | 1450 | 0.0111 | 37.4517 |
| 0.0023 | 0.55 | 1500 | 0.0111 | 37.4517 |
### Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0
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