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---
license: apache-2.0
base_model: openai/whisper-medium.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/imannalia/augment_thirty_whisper_ft_medium/runs/lx7hkern)
# medium
This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4547
- Wer: 11.8776
- Cer: 7.0531
- Wer Normalized: 11.8782
## 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: 32
- eval_batch_size: 16
- 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: 1500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Wer Normalized |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:--------------:|
| 0.7386 | 1.7544 | 500 | 0.3919 | 9.6967 | 5.7829 | 9.6942 |
| 0.3228 | 3.5088 | 1000 | 0.4447 | 10.0253 | 6.0106 | 10.0254 |
| 0.1196 | 5.2632 | 1500 | 0.5873 | 10.2440 | 6.1735 | 10.2441 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|