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whisper-medium-he-teamim-aviv-bavly-without-nikud-test
cantillation/whisper-medium-he-teamim-aviv-bavly-without-nikud-test
whisper-medium-he-teamim-aviv-bavly-without-nikud-test is a automatic speech recognition model from cantillation. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Feb 14, 2024
- Updated
- Feb 15, 2024
- SHA
- e307d3a6
Base models
Model card
From the Hugging Face model README
<!-- 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 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3168
- Precision: 0.1010
- Recall: 0.1098
- F1: 0.1051
- Precision Median: 0.0
- Recall Median: 0.0
- F1 Median: 0.0
- Precision Max: 0.5
- Recall Max: 0.5333
- F1 Max: 0.5161
- Precision Min: 0.0
- Recall Min: 0.0
- F1 Min: 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: 32
- 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: 200
- training_steps: 800
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Precision Median | Recall Median | F1 Median | Precision Max | Recall Max | F1 Max | Precision Min | Recall Min | F1 Min |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3.5705 | 0.32 | 200 | 2.7306 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 2.0183 | 0.63 | 400 | 1.6209 | 0.0341 | 0.0373 | 0.0356 | 0.0 | 0.0 | 0.0 | 0.4375 | 0.4667 | 0.4516 | 0.0 | 0.0 | 0.0 |
| 1.6646 | 0.95 | 600 | 1.3710 | 0.1062 | 0.1151 | 0.1103 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5333 | 0.5161 | 0.0 | 0.0 | 0.0 |
| 1.6004 | 1.27 | 800 | 1.3168 | 0.1010 | 0.1098 | 0.1051 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5333 | 0.5161 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- he
- Created
- Feb 14, 2024
- Updated
- Feb 15, 2024