metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: chordektomie-phrase
results: []
chordektomie-phrase
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: 0.2887
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6914 | 1.0 | 6 | 0.7011 | 0.3636 |
| 0.6557 | 2.0 | 12 | 0.6493 | 0.6364 |
| 0.5778 | 3.0 | 18 | 0.4675 | 0.9091 |
| 0.4659 | 4.0 | 24 | 0.3615 | 0.9091 |
| 0.2733 | 5.0 | 30 | 0.3414 | 0.9091 |
| 0.2077 | 6.0 | 36 | 0.2448 | 0.9545 |
| 0.1677 | 7.0 | 42 | 0.3043 | 0.9091 |
| 0.1188 | 8.0 | 48 | 0.3077 | 0.9091 |
| 0.1426 | 9.0 | 54 | 0.2956 | 0.9091 |
| 0.1041 | 10.0 | 60 | 0.2887 | 0.9091 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1