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wav2vec2-base-finetuned-ie
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: 0.9461
- Accuracy: 0.6857
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 |
|---|---|---|---|---|
| 1.1913 | 1.0 | 102 | 1.1911 | 0.4374 |
| 1.0238 | 2.0 | 204 | 1.0045 | 0.5529 |
| 0.809 | 3.0 | 306 | 0.9396 | 0.6188 |
| 0.7097 | 4.0 | 408 | 1.2146 | 0.5558 |
| 0.6082 | 5.0 | 510 | 1.2860 | 0.5752 |
| 0.4099 | 6.0 | 612 | 1.3618 | 0.5771 |
| 0.3927 | 7.0 | 714 | 1.1155 | 0.6508 |
| 0.2013 | 8.0 | 816 | 1.3554 | 0.6266 |
| 0.2208 | 9.0 | 918 | 1.7306 | 0.5674 |
| 0.1967 | 10.0 | 1020 | 1.6680 | 0.6004 |
| 0.1563 | 11.0 | 1122 | 1.6125 | 0.6402 |
| 0.0777 | 12.0 | 1224 | 1.7766 | 0.6305 |
| 0.0486 | 13.0 | 1326 | 1.8744 | 0.6324 |
| 0.0594 | 14.0 | 1428 | 1.9529 | 0.6246 |
| 0.0363 | 15.0 | 1530 | 1.8843 | 0.6334 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
