metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-robust
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-robust-finetuned-ie
results: []
wav2vec2-large-robust-finetuned-ie
This model is a fine-tuned version of facebook/wav2vec2-large-robust on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1133
- Accuracy: 0.5536
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| 1.3699 | 1.0 | 102 | 1.3843 | 0.2502 |
| 1.2027 | 2.0 | 204 | 1.1851 | 0.4200 |
| 1.047 | 3.0 | 306 | 1.1356 | 0.4520 |
| 1.0414 | 4.0 | 408 | 1.1702 | 0.4627 |
| 0.9885 | 5.0 | 510 | 1.0295 | 0.5354 |
| 0.9873 | 6.0 | 612 | 1.0988 | 0.5228 |
| 0.9309 | 7.0 | 714 | 1.1347 | 0.5257 |
| 0.8401 | 8.0 | 816 | 1.1502 | 0.5286 |
| 0.8253 | 9.0 | 918 | 1.0792 | 0.5577 |
| 0.8741 | 10.0 | 1020 | 1.2591 | 0.5267 |
| 0.8177 | 11.0 | 1122 | 1.3007 | 0.5141 |
| 0.7633 | 12.0 | 1224 | 1.1962 | 0.5509 |
| 0.8185 | 13.0 | 1326 | 1.1022 | 0.5984 |
| 0.7481 | 14.0 | 1428 | 1.1741 | 0.5694 |
| 0.719 | 15.0 | 1530 | 1.1645 | 0.5781 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2