---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w_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. -->

# w_medium

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: 0.7098
- Wer: 74.8294

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.7765        | 0.4548 | 1000 | 0.7543          | 130.5512 |
| 0.6989        | 0.9095 | 2000 | 0.6826          | 74.6797  |
| 0.4569        | 1.3643 | 3000 | 0.6605          | 80.5546  |
| 0.4813        | 1.8190 | 4000 | 0.6465          | 79.3330  |
| 0.3847        | 2.2738 | 5000 | 0.6780          | 73.8704  |
| 0.3865        | 2.7285 | 6000 | 0.6712          | 82.8552  |
| 0.2736        | 3.1833 | 7000 | 0.7016          | 75.8153  |
| 0.2428        | 3.6380 | 8000 | 0.7098          | 74.8294  |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1