Downloads · 30 days
46
12% of all-time downloads
wav2vec2-large-xlsr-53-th-speech-emotion-recognition-4c
Paranchai/wav2vec2-large-xlsr-53-th-speech-emotion-recognition-4c
wav2vec2-large-xlsr-53-th-speech-emotion-recognition-4c is a audio classification model from Paranchai. Use it for the audio classification 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 cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
393
Public
Parameters
316M
25.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Oct 14, 2024
- Updated
- Oct 14, 2024
- SHA
- 23dfcf19
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. -->
wav2vec2-large-xlsr-53-th-speech-emotion-recognition-4c
This model is a fine-tuned version of airesearch/wav2vec2-large-xlsr-53-th on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4840
- Accuracy: 0.8270
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3113 | 0.9963 | 67 | 1.3085 | 0.3879 |
| 0.9422 | 1.9926 | 134 | 0.9515 | 0.5786 |
| 0.8097 | 2.9888 | 201 | 0.7753 | 0.6958 |
| 0.7 | 4.0 | 269 | 0.6606 | 0.7591 |
| 0.6038 | 4.9963 | 336 | 0.5957 | 0.7833 |
| 0.5796 | 5.9926 | 403 | 0.6206 | 0.7805 |
| 0.5413 | 6.9888 | 470 | 0.5471 | 0.7991 |
| 0.4974 | 8.0 | 538 | 0.5784 | 0.8009 |
| 0.4623 | 8.9963 | 605 | 0.5212 | 0.8130 |
| 0.4503 | 9.9926 | 672 | 0.5237 | 0.8242 |
| 0.428 | 10.9888 | 739 | 0.4823 | 0.8233 |
| 0.3958 | 12.0 | 807 | 0.5192 | 0.8270 |
| 0.3953 | 12.9963 | 874 | 0.4854 | 0.8270 |
| 0.3696 | 13.9926 | 941 | 0.4877 | 0.8251 |
| 0.3715 | 14.9888 | 1008 | 0.4845 | 0.8279 |
| 0.386 | 16.0 | 1076 | 0.4829 | 0.8233 |
| 0.3505 | 16.9963 | 1143 | 0.4850 | 0.8214 |
| 0.3166 | 17.9926 | 1210 | 0.4973 | 0.8270 |
| 0.366 | 18.9888 | 1277 | 0.4829 | 0.8270 |
| 0.3386 | 19.9257 | 1340 | 0.4840 | 0.8270 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-sa-4.0
- Created
- Oct 14, 2024
- Updated
- Oct 14, 2024