---
language:
- he
base_model: cantillation/Teamim-large-v2_Random-True_OldData_date-07-06-2024_16-07-57
tags:
- hf-asr-leaderboard
- generated_from_trainer
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 [cantillation/Teamim-large-v2_Random-True_OldData_date-07-06-2024_16-07-57](https://huggingface.co/cantillation/Teamim-large-v2_Random-True_OldData_date-07-06-2024_16-07-57) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0899
- eval_wer: 9.8928
- eval_avg_precision_Exact: 0.9232
- eval_avg_recall_Exact: 0.9228
- eval_avg_f1_Exact: 0.9227
- eval_avg_precision_Letter_Shift: 0.9383
- eval_avg_recall_Letter_Shift: 0.9381
- eval_avg_f1_Letter_Shift: 0.9379
- eval_avg_precision_Word_Level: 0.9405
- eval_avg_recall_Word_Level: 0.9404
- eval_avg_f1_Word_Level: 0.9401
- eval_avg_precision_Word_Shift: 0.9772
- eval_avg_recall_Word_Shift: 0.9777
- eval_avg_f1_Word_Shift: 0.9771
- eval_precision_median_exact: 1.0
- eval_recall_median_exact: 1.0
- eval_f1_median_exact: 1.0
- eval_precision_max_exact: 1.0
- eval_recall_max_exact: 1.0
- eval_f1_max_exact: 1.0
- eval_precision_min_Exact: 0.0
- eval_recall_min_Exact: 0.0
- eval_f1_min_Exact: 0.0
- eval_precision_min_Letter_Shift: 0.0
- eval_recall_min_Letter_Shift: 0.0
- eval_f1_min_Letter_Shift: 0.0
- eval_precision_min_Word_Level: 0.0
- eval_recall_min_Word_Level: 0.0
- eval_f1_min_Word_Level: 0.0
- eval_precision_min_Word_Shift: 0.1429
- eval_recall_min_Word_Shift: 0.1
- eval_f1_min_Word_Shift: 0.1176
- eval_runtime: 2336.8917
- eval_samples_per_second: 1.152
- eval_steps_per_second: 0.036
- epoch: 0.56
- step: 7000

## 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: 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: 50
- training_steps: 8000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.19.1