|
--- |
|
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 |
|
|
