Downloads · 30 days
6
20% of all-time downloads
whisper-tiny-v2-ta_tf32_adamBetas
G-Rahul/whisper-tiny-v2-ta_tf32_adamBetas
whisper-tiny-v2-ta_tf32_adamBetas is a automatic speech recognition model from G-Rahul. 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. --
All-time downloads
30
Public
Repo size
3.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin151 MB · 99%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Apr 11, 2023
- Updated
- Apr 11, 2023
- SHA
- 9a41e8fc
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. -->
whisper-tiny-v2-ta_tf32_adamBetas
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3434
- Wer: 42.5666
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: 1.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.5668 | 0.21 | 300 | 0.5259 | 57.9177 |
| 0.4153 | 0.42 | 600 | 0.4277 | 74.0920 |
| 0.3589 | 0.63 | 900 | 0.3960 | 51.7676 |
| 0.3132 | 0.84 | 1200 | 0.3748 | 49.5400 |
| 0.2872 | 1.05 | 1500 | 0.3607 | 42.9540 |
| 0.2793 | 1.26 | 1800 | 0.3537 | 44.9395 |
| 0.2702 | 1.47 | 2100 | 0.3488 | 43.2446 |
| 0.2708 | 1.68 | 2400 | 0.3434 | 42.5666 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.12.1
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Apr 11, 2023
- Updated
- Apr 11, 2023