đ wav2vec2-base-finetuned-sentiment-mesd
This model is a fine - tuned version of facebook/wav2vec2-base on the MESD dataset, aiming to classify the underlying sentiment of Spanish audio/speech.
đ Quick Start
This model is a fine - tuned version of facebook/wav2vec2-base on the MESD dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5729
- Accuracy: 0.8308
⨠Features
This model was trained to classify underlying sentiment of Spanish audio/speech.
đ Documentation
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
đ§ Technical Details
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.25e - 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 |
| No log |
1.0 |
7 |
0.5729 |
0.8308 |
| No log |
2.0 |
14 |
0.6577 |
0.8 |
| 0.1602 |
3.0 |
21 |
0.7055 |
0.8 |
| 0.1602 |
4.0 |
28 |
0.8696 |
0.7615 |
| 0.1602 |
5.0 |
35 |
0.6807 |
0.7923 |
| 0.1711 |
6.0 |
42 |
0.7303 |
0.7923 |
| 0.1711 |
7.0 |
49 |
0.7028 |
0.8077 |
| 0.1711 |
8.0 |
56 |
0.7368 |
0.8 |
| 0.1608 |
9.0 |
63 |
0.7190 |
0.7923 |
| 0.1608 |
10.0 |
70 |
0.6913 |
0.8077 |
| 0.1608 |
11.0 |
77 |
0.7047 |
0.8077 |
| 0.1753 |
12.0 |
84 |
0.6801 |
0.8 |
| 0.1753 |
13.0 |
91 |
0.7208 |
0.7769 |
| 0.1753 |
14.0 |
98 |
0.7458 |
0.7846 |
| 0.203 |
15.0 |
105 |
0.6494 |
0.8077 |
| 0.203 |
16.0 |
112 |
0.6256 |
0.8231 |
| 0.203 |
17.0 |
119 |
0.6788 |
0.8 |
| 0.1919 |
18.0 |
126 |
0.6757 |
0.7846 |
| 0.1919 |
19.0 |
133 |
0.6859 |
0.7846 |
| 0.1641 |
20.0 |
140 |
0.6832 |
0.7846 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.10.3
đ License
The model is licensed under the Apache 2.0 license.
| Property |
Details |
| Model Type |
Fine - tuned wav2vec2 - base for Spanish audio sentiment classification |
| Training Data |
MESD dataset |
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PyTorch