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---
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 |