---
library_name: peft
language:
- it
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- Dysarthria_Synthetic_Easycall_Common
metrics:
- wer
model-index:
- name: Whisper Medium
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Dysarthria_Synthetic_Easycall_Common
      type: Dysarthria_Synthetic_Easycall_Common
      config: default
      split: train
      args: default
    metrics:
    - type: wer
      value: 66.77419354838709
      name: Wer
---

<!-- 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 Medium

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Dysarthria_Synthetic_Easycall_Common dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9709
- Wer: 66.7742

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_steps: 100
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 6.1405        | 0.6897  | 50   | 5.7981          | 205.1613 |
| 4.968         | 1.3793  | 100  | 5.3200          | 164.8387 |
| 4.2444        | 2.0690  | 150  | 4.7663          | 85.8065  |
| 3.6175        | 2.7586  | 200  | 4.0413          | 83.8710  |
| 3.0351        | 3.4483  | 250  | 3.6257          | 80.3226  |
| 2.668         | 4.1379  | 300  | 3.2450          | 75.8065  |
| 2.3178        | 4.8276  | 350  | 2.8196          | 75.1613  |
| 1.9613        | 5.5172  | 400  | 2.3047          | 73.8710  |
| 1.5398        | 6.2069  | 450  | 1.8564          | 73.8710  |
| 1.2771        | 6.8966  | 500  | 1.5804          | 76.4516  |
| 1.0752        | 7.5862  | 550  | 1.3762          | 75.1613  |
| 0.8899        | 8.2759  | 600  | 1.2049          | 77.0968  |
| 0.7684        | 8.9655  | 650  | 1.1252          | 75.1613  |
| 0.7242        | 9.6552  | 700  | 1.0776          | 74.1935  |
| 0.67          | 10.3448 | 750  | 1.0567          | 72.9032  |
| 0.6405        | 11.0345 | 800  | 1.0334          | 73.2258  |
| 0.622         | 11.7241 | 850  | 1.0179          | 74.1935  |
| 0.5874        | 12.4138 | 900  | 1.0067          | 71.2903  |
| 0.5601        | 13.1034 | 950  | 0.9863          | 67.0968  |
| 0.544         | 13.7931 | 1000 | 0.9855          | 67.0968  |
| 0.538         | 14.4828 | 1050 | 0.9709          | 66.7742  |


### Framework versions

- PEFT 0.14.0
- Transformers 4.45.2
- Pytorch 2.2.0
- Datasets 3.2.0
- Tokenizers 0.20.3