---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: MAScIR_elderly_whisper-medium-LoRA-ev
  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. -->

# MAScIR_elderly_whisper-medium-LoRA-ev

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: 0.0213

## 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: 0.001
- 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: 200
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3194        | 0.19  | 100  | 0.2974          |
| 0.2485        | 0.37  | 200  | 0.2865          |
| 0.2532        | 0.56  | 300  | 0.2810          |
| 0.2306        | 0.74  | 400  | 0.2225          |
| 0.1954        | 0.93  | 500  | 0.2355          |
| 0.1178        | 1.11  | 600  | 0.1883          |
| 0.1087        | 1.3   | 700  | 0.1567          |
| 0.098         | 1.48  | 800  | 0.1593          |
| 0.0661        | 1.67  | 900  | 0.0985          |
| 0.0675        | 1.85  | 1000 | 0.0602          |
| 0.0297        | 2.04  | 1100 | 0.0543          |
| 0.0172        | 2.22  | 1200 | 0.0436          |
| 0.0157        | 2.41  | 1300 | 0.0403          |
| 0.0143        | 2.59  | 1400 | 0.0317          |
| 0.0167        | 2.78  | 1500 | 0.0265          |
| 0.0095        | 2.96  | 1600 | 0.0213          |


### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3