metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chordektomie-iau
results: []
chordektomie-iau
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: 0.3381
- Accuracy: 0.9091
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6948 | 1.0 | 6 | 0.6942 | 0.4091 |
| 0.6393 | 2.0 | 12 | 0.6864 | 0.4091 |
| 0.5059 | 3.0 | 18 | 0.5804 | 0.7727 |
| 0.3832 | 4.0 | 24 | 0.6555 | 0.5909 |
| 0.3113 | 5.0 | 30 | 0.4741 | 0.8182 |
| 0.2529 | 6.0 | 36 | 0.2765 | 0.9545 |
| 0.1891 | 7.0 | 42 | 0.2377 | 0.9545 |
| 0.1966 | 8.0 | 48 | 0.2146 | 0.9545 |
| 0.1326 | 9.0 | 54 | 0.2941 | 0.9091 |
| 0.1938 | 10.0 | 60 | 0.3241 | 0.9091 |
| 0.0933 | 11.0 | 66 | 0.3281 | 0.9091 |
| 0.0831 | 12.0 | 72 | 0.4237 | 0.8636 |
| 0.0801 | 13.0 | 78 | 0.3362 | 0.9091 |
| 0.0632 | 14.0 | 84 | 0.3377 | 0.9091 |
| 0.0746 | 15.0 | 90 | 0.3381 | 0.9091 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.12.0
- Tokenizers 0.15.1