Downloads · 30 days
5
2% of all-time downloads
wav2vec2-large-xls-r-300m-turkish-colab
DahmL/wav2vec2-large-xls-r-300m-turkish-colab
wav2vec2-large-xls-r-300m-turkish-colab is a automatic speech recognition model from DahmL. 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
299
Public
Parameters
315M
31.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Dec 11, 2023
- Updated
- Dec 19, 2023
- SHA
- db824369
Base models
Datasets
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. -->
wav2vec2-large-xls-r-300m-turkish-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5247
- Wer: 0.7092
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: 0.0003
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1953 | 3.86 | 400 | 0.5740 | 0.7963 |
| 0.1959 | 7.73 | 800 | 0.5169 | 0.7743 |
| 0.1486 | 11.59 | 1200 | 0.5334 | 0.7501 |
| 0.1146 | 15.46 | 1600 | 0.5186 | 0.7226 |
| 0.0885 | 19.32 | 2000 | 0.5247 | 0.7092 |
Framework versions
- Transformers 4.36.1
- Pytorch 1.10.0+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 11, 2023
- Updated
- Dec 19, 2023