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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-medium
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. -->
# openai/whisper-medium
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5059
- Wer: 12.6669
## 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: 3e-06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0222 | 2.72 | 1000 | 0.3442 | 14.0834 |
| 0.0032 | 5.43 | 2000 | 0.4106 | 14.5285 |
| 0.0011 | 8.15 | 3000 | 0.4331 | 12.8693 |
| 0.0029 | 10.87 | 4000 | 0.3948 | 12.6265 |
| 0.0012 | 13.59 | 5000 | 0.4512 | 12.6669 |
| 0.0009 | 16.3 | 6000 | 0.4890 | 12.7479 |
| 0.001 | 19.02 | 7000 | 0.4868 | 12.1408 |
| 0.0016 | 21.74 | 8000 | 0.4780 | 12.7074 |
| 0.0002 | 24.46 | 9000 | 0.4902 | 12.2218 |
| 0.0012 | 27.17 | 10000 | 0.5059 | 12.6669 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221216+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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