metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mood_box
results: []
mood_box
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5115
- Accuracy: 0.3802
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 4 | 1.6030 | 0.2231 |
| No log | 2.0 | 8 | 1.5976 | 0.3223 |
| 1.6018 | 3.0 | 12 | 1.5936 | 0.2893 |
| 1.6018 | 4.0 | 16 | 1.5849 | 0.2810 |
| 1.5765 | 5.0 | 20 | 1.5733 | 0.3636 |
| 1.5765 | 6.0 | 24 | 1.5557 | 0.3884 |
| 1.5765 | 7.0 | 28 | 1.5360 | 0.3719 |
| 1.5323 | 8.0 | 32 | 1.5246 | 0.3554 |
| 1.5323 | 9.0 | 36 | 1.5152 | 0.3719 |
| 1.4909 | 10.0 | 40 | 1.5115 | 0.3802 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2