Downloads · 30 days
9
4% of all-time downloads
Model_S_P_Wav2vec2_Versi3
rossevine/Model_S_P_Wav2vec2_Versi3
Model_S_P_Wav2vec2_Versi3 is a automatic speech recognition model from rossevine. 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
202
Public
Repo size
11.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 81%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 21, 2023
- Updated
- Aug 27, 2023
- SHA
- ccbff977
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. -->
Model_S_P_Wav2Vec2_Versi3
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4579
- Wer: 0.6186
- Cer: 0.2533
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.8444 | 4.17 | 400 | 1.9681 | 0.8842 | 0.3514 |
| 0.7197 | 8.33 | 800 | 1.7313 | 0.7090 | 0.2870 |
| 0.4068 | 12.5 | 1200 | 2.1924 | 0.6824 | 0.2833 |
| 0.2845 | 16.67 | 1600 | 2.1977 | 0.6562 | 0.2720 |
| 0.2035 | 20.83 | 2000 | 2.0385 | 0.6182 | 0.2553 |
| 0.156 | 25.0 | 2400 | 2.1969 | 0.6172 | 0.2537 |
| 0.1064 | 29.17 | 2800 | 2.4579 | 0.6186 | 0.2533 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 1.18.3
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 21, 2023
- Updated
- Aug 27, 2023