Commit
•
75282b2
1
Parent(s):
e1e4c96
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: facebook/wav2vec2-base
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: emotions_6_classes_small
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# emotions_6_classes_small
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.9106
|
| 21 |
+
- Accuracy: 0.7920
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 3e-05
|
| 41 |
+
- train_batch_size: 128
|
| 42 |
+
- eval_batch_size: 128
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 4
|
| 45 |
+
- total_train_batch_size: 512
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 49 |
+
- num_epochs: 30
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 54 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 55 |
+
| 0.2009 | 0.99 | 19 | 0.6892 | 0.7891 |
|
| 56 |
+
| 0.2272 | 1.97 | 38 | 0.7235 | 0.7817 |
|
| 57 |
+
| 0.2196 | 2.96 | 57 | 0.7027 | 0.7809 |
|
| 58 |
+
| 0.2402 | 4.0 | 77 | 0.7953 | 0.7592 |
|
| 59 |
+
| 0.2301 | 4.99 | 96 | 0.7979 | 0.7699 |
|
| 60 |
+
| 0.1896 | 5.97 | 115 | 0.7533 | 0.7838 |
|
| 61 |
+
| 0.188 | 6.96 | 134 | 0.7483 | 0.7817 |
|
| 62 |
+
| 0.1573 | 8.0 | 154 | 0.8200 | 0.7756 |
|
| 63 |
+
| 0.1576 | 8.99 | 173 | 0.7623 | 0.7944 |
|
| 64 |
+
| 0.1452 | 9.97 | 192 | 0.7460 | 0.7944 |
|
| 65 |
+
| 0.1322 | 10.96 | 211 | 0.8031 | 0.7875 |
|
| 66 |
+
| 0.1353 | 12.0 | 231 | 0.7864 | 0.7883 |
|
| 67 |
+
| 0.1211 | 12.99 | 250 | 0.7934 | 0.7903 |
|
| 68 |
+
| 0.1165 | 13.97 | 269 | 0.7734 | 0.7936 |
|
| 69 |
+
| 0.0928 | 14.96 | 288 | 0.8743 | 0.7842 |
|
| 70 |
+
| 0.095 | 16.0 | 308 | 0.8483 | 0.7867 |
|
| 71 |
+
| 0.0824 | 16.99 | 327 | 0.8860 | 0.7850 |
|
| 72 |
+
| 0.0896 | 17.97 | 346 | 0.8314 | 0.7957 |
|
| 73 |
+
| 0.0874 | 18.96 | 365 | 0.8164 | 0.7936 |
|
| 74 |
+
| 0.081 | 20.0 | 385 | 0.8250 | 0.7993 |
|
| 75 |
+
| 0.0673 | 20.99 | 404 | 0.9118 | 0.7879 |
|
| 76 |
+
| 0.0716 | 21.97 | 423 | 0.8605 | 0.7912 |
|
| 77 |
+
| 0.0588 | 22.96 | 442 | 0.8470 | 0.7985 |
|
| 78 |
+
| 0.0579 | 24.0 | 462 | 0.8906 | 0.7920 |
|
| 79 |
+
| 0.0511 | 24.99 | 481 | 0.8853 | 0.7969 |
|
| 80 |
+
| 0.0488 | 25.97 | 500 | 0.8901 | 0.7973 |
|
| 81 |
+
| 0.0468 | 26.96 | 519 | 0.9083 | 0.7895 |
|
| 82 |
+
| 0.0505 | 28.0 | 539 | 0.9010 | 0.7903 |
|
| 83 |
+
| 0.0542 | 28.99 | 558 | 0.8924 | 0.7944 |
|
| 84 |
+
| 0.0542 | 29.61 | 570 | 0.9106 | 0.7920 |
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
### Framework versions
|
| 88 |
+
|
| 89 |
+
- Transformers 4.31.0
|
| 90 |
+
- Pytorch 2.0.1+cu117
|
| 91 |
+
- Datasets 2.14.4
|
| 92 |
+
- Tokenizers 0.13.3
|