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

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 8.2545
- Wer: 100.0
- Avg Precision Exact: 0.0
- Avg Recall Exact: 0.0
- Avg F1 Exact: 0.0
- Avg Precision Letter Shift: 0.0
- Avg Recall Letter Shift: 0.0
- Avg F1 Letter Shift: 0.0
- Avg Precision Word Level: 0.0052
- Avg Recall Word Level: 0.0226
- Avg F1 Word Level: 0.0082
- Avg Precision Word Shift: 0.0674
- Avg Recall Word Shift: 0.0636
- Avg F1 Word Shift: 0.0627
- Precision Median Exact: 0.0
- Recall Median Exact: 0.0
- F1 Median Exact: 0.0
- Precision Max Exact: 0
- Recall Max Exact: 0
- F1 Max Exact: 0
- Precision Min Exact: 0
- Recall Min Exact: 0
- F1 Min Exact: 0
- Precision Min Letter Shift: 0
- Recall Min Letter Shift: 0
- F1 Min Letter Shift: 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-06
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 5
- 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        | 0.0040 | 1    | 8.2545          | 100.0 | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0052                   | 0.0226                | 0.0082            | 0.0674                   | 0.0636                | 0.0627            | 0.0                    | 0.0                 | 0.0             | 0                   | 0                | 0            | 0                   | 0                | 0            | 0                          | 0                       | 0                   | 0.0                      | 0.0                   | 0.0               | 0.0                      | 0.0                   | 0.0               |
| No log        | 0.0202 | 5    | 8.2545          | 100.0 | 0.0                 | 0.0              | 0.0          | 0.0                        | 0.0                     | 0.0                 | 0.0052                   | 0.0226                | 0.0082            | 0.0674                   | 0.0636                | 0.0627            | 0.0                    | 0.0                 | 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 4.41.2
- Pytorch 2.2.1
- Datasets 2.20.0
- Tokenizers 0.19.1