Downloads · 30 days
5
3% of all-time downloads
whisper-large-eu-from-es
zuazo/whisper-large-eu-from-es
whisper-large-eu-from-es is a automatic speech recognition model from zuazo. 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
145
Public
Repo size
123 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin6.2 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 27, 2023
- Updated
- Jan 1, 2024
- SHA
- 8a736968
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. -->
Whisper Large Basque
This model is a fine-tuned version of zuazo/whisper-large-es on the mozilla-foundation/common_voice_13_0 eu dataset. It achieves the following results on the evaluation set:
- Loss: 0.4549
- Wer: 12.9815
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: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- 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: 20000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0162 | 4.01 | 1000 | 0.3159 | 16.8577 |
| 0.0042 | 9.01 | 2000 | 0.3181 | 15.1606 |
| 0.0038 | 14.01 | 3000 | 0.3367 | 14.7211 |
| 0.0035 | 19.0 | 4000 | 0.3419 | 14.5915 |
| 0.0012 | 24.0 | 5000 | 0.3489 | 14.3586 |
| 0.0029 | 29.0 | 6000 | 0.3650 | 14.6746 |
| 0.0011 | 33.01 | 7000 | 0.3643 | 13.8138 |
| 0.0006 | 38.01 | 8000 | 0.3628 | 14.0042 |
| 0.0009 | 43.01 | 9000 | 0.3661 | 14.0042 |
| 0.0003 | 48.01 | 10000 | 0.3794 | 13.7166 |
| 0.0003 | 53.0 | 11000 | 0.3793 | 13.6923 |
| 0.0 | 58.0 | 12000 | 0.3991 | 13.4027 |
| 0.0 | 63.0 | 13000 | 0.4119 | 13.3562 |
| 0.0 | 67.01 | 14000 | 0.4209 | 13.2184 |
| 0.0 | 72.01 | 15000 | 0.4288 | 13.2225 |
| 0.0 | 77.01 | 16000 | 0.4361 | 13.1516 |
| 0.0 | 82.01 | 17000 | 0.4428 | 13.1334 |
| 0.0 | 87.0 | 18000 | 0.4487 | 13.1334 |
| 0.0 | 92.0 | 19000 | 0.4531 | 12.9896 |
| 0.0 | 97.0 | 20000 | 0.4549 | 12.9815 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- eu
- Created
- Dec 27, 2023
- Updated
- Jan 1, 2024