Downloads · 30 days
5
24% of all-time downloads
emotion_recognition_ru
makhataei/emotion_recognition_ru
emotion_recognition_ru is a machine learning model from makhataei. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
21
Public
Repo size
6.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 29, 2024
- Updated
- Jul 1, 2024
- SHA
- ebb90255
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-xls-r-300m
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the KELONMYOSA/dusha_emotion_audio dataset. It achieves the following results on the evaluation set:
- Loss: 0.5633
- Accuracy: 0.7970
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: 0.003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7868 | 1.0 | 24170 | 0.7561 | 0.7318 |
| 0.7147 | 2.0 | 48340 | 0.6984 | 0.7459 |
| 0.669 | 3.0 | 72510 | 0.6263 | 0.7727 |
| 0.6362 | 4.0 | 96680 | 0.5832 | 0.7902 |
| 0.4476 | 5.0 | 120850 | 0.5633 | 0.7970 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 29, 2024
- Updated
- Jul 1, 2024