---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-med-LoRA_FAA_data_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-med-LoRA_FAA_data_small

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: 4.4632
- Wer: 56.9444

## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 4.4359        | 1.0   | 1    | 4.5014          | 56.9444 |
| 4.4359        | 2.0   | 2    | 4.5014          | 56.9444 |
| 4.4359        | 3.0   | 3    | 4.5496          | 56.9444 |
| 4.458         | 4.0   | 4    | 4.5496          | 56.9444 |
| 4.4576        | 5.0   | 5    | 4.5439          | 56.9444 |
| 4.4411        | 6.0   | 6    | 4.4745          | 56.9444 |
| 4.4139        | 7.0   | 7    | 4.4745          | 56.9444 |
| 4.4166        | 8.0   | 8    | 4.4745          | 56.9444 |
| 4.4181        | 9.0   | 9    | 4.4722          | 56.9444 |
| 4.379         | 10.0  | 10   | 4.4632          | 56.9444 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3