---
language:
- he
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- wer
model-index:
- name: he
  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. -->

# he

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: 1.8710
- Wer: 98.7805
- Avg Precision Exact: 0.0834
- Avg Recall Exact: 0.0774
- Avg F1 Exact: 0.0795
- Avg Precision Letter Shift: 0.1227
- Avg Recall Letter Shift: 0.1114
- Avg F1 Letter Shift: 0.1157
- Avg Precision Word Level: 0.1433
- Avg Recall Word Level: 0.1299
- Avg F1 Word Level: 0.1351
- Avg Precision Word Shift: 0.2771
- Avg Recall Word Shift: 0.2479
- Avg F1 Word Shift: 0.2589
- Precision Median Exact: 0.0714
- Recall Median Exact: 0.0556
- F1 Median Exact: 0.0645
- Precision Max Exact: 0.3333
- Recall Max Exact: 0.3636
- F1 Max Exact: 0.3478
- Precision Min Exact: 0.0
- Recall Min Exact: 0.0
- F1 Min Exact: 0.0
- Precision Min Letter Shift: 0.0
- Recall Min Letter Shift: 0.0
- F1 Min Letter Shift: 0.0
- Precision Min Word Level: 0.0
- Recall Min Word Level: 0.0
- F1 Min Word Level: 0.0
- Precision Min Word Shift: 0.0
- Recall Min Word Shift: 0.0
- F1 Min Word Shift: 0.0

## 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: 1
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 80
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      | Avg Precision Exact | Avg Recall Exact | Avg F1 Exact | Avg Precision Letter Shift | Avg Recall Letter Shift | Avg F1 Letter Shift | Avg Precision Word Level | Avg Recall Word Level | Avg F1 Word Level | Avg Precision Word Shift | Avg Recall Word Shift | Avg F1 Word Shift | Precision Median Exact | Recall Median Exact | F1 Median Exact | Precision Max Exact | Recall Max Exact | F1 Max Exact | Precision Min Exact | Recall Min Exact | F1 Min Exact | Precision Min Letter Shift | Recall Min Letter Shift | F1 Min Letter Shift | Precision Min Word Level | Recall Min Word Level | F1 Min Word Level | Precision Min Word Shift | Recall Min Word Shift | F1 Min Word Shift |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|
| No log        | 0.0   | 20   | 2.9186          | 101.6260 | 0.0171              | 0.0289           | 0.0210       | 0.0322                     | 0.0338                  | 0.0293              | 0.0481                   | 0.0869                | 0.0581            | 0.1638                   | 0.2132                | 0.1777            | 0.0                    | 0.0                 | 0.0             | 0.1538              | 0.25             | 0.1667       | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.0                      | 0.0                   | 0.0               |
| 3.58          | 0.0   | 40   | 2.1540          | 108.1301 | 0.0579              | 0.0712           | 0.0631       | 0.1109                     | 0.1375                  | 0.1217              | 0.1321                   | 0.1689                | 0.1470            | 0.2462                   | 0.3116                | 0.2727            | 0.0625                 | 0.0833              | 0.0741          | 0.2222              | 0.2222           | 0.2222       | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.0                      | 0.0                   | 0.0               |
| 1.8957        | 0.0   | 60   | 1.9215          | 102.0325 | 0.0804              | 0.0967           | 0.0861       | 0.1169                     | 0.1421                  | 0.1264              | 0.1370                   | 0.1739                | 0.1512            | 0.2660                   | 0.3394                | 0.2929            | 0.0833                 | 0.0909              | 0.0833          | 0.25                | 0.4286           | 0.3158       | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.0                      | 0.0                   | 0.0               |
| 1.2925        | 0.0   | 80   | 1.8710          | 98.7805  | 0.0834              | 0.0774           | 0.0795       | 0.1227                     | 0.1114                  | 0.1157              | 0.1433                   | 0.1299                | 0.1351            | 0.2771                   | 0.2479                | 0.2589            | 0.0714                 | 0.0556              | 0.0645          | 0.3333              | 0.3636           | 0.3478       | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0                      | 0.0                   | 0.0               | 0.0                      | 0.0                   | 0.0               |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0