|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# wav2vec2-large-robust-finetuned-ie |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-large-robust](https://huggingface.co/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 |
|
|
