metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_emo_classif
results: []
fine_tuned_emo_classif
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9560
- Accuracy: 0.6442
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 |
|---|---|---|---|---|
| 1.597 | 0.9965 | 71 | 1.5666 | 0.3676 |
| 1.3149 | 1.9930 | 142 | 1.2817 | 0.5374 |
| 1.2092 | 2.9895 | 213 | 1.1453 | 0.5858 |
| 1.0891 | 4.0 | 285 | 1.0779 | 0.6073 |
| 1.0319 | 4.9965 | 356 | 1.0494 | 0.6205 |
| 0.943 | 5.9930 | 427 | 1.0233 | 0.6201 |
| 0.8919 | 6.9895 | 498 | 0.9688 | 0.6425 |
| 0.8901 | 8.0 | 570 | 0.9703 | 0.6346 |
| 0.8899 | 8.9965 | 641 | 0.9506 | 0.6486 |
| 0.8277 | 9.9649 | 710 | 0.9560 | 0.6442 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1