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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
name: wav2vec2-base-libir-zenodo
---
<!-- 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-base-libir-zenodo
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4238
- Wer: 0.4336
## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.053 | 1.0 | 31 | 3.1494 | 0.7345 |
| 2.9742 | 2.0 | 62 | 3.0527 | 0.7257 |
| 2.9139 | 3.0 | 93 | 2.8808 | 0.7257 |
| 2.6586 | 4.0 | 124 | 2.6648 | 0.6726 |
| 2.7117 | 5.0 | 155 | 2.4695 | 0.6372 |
| 2.5173 | 6.0 | 186 | 2.3087 | 0.6195 |
| 2.3665 | 7.0 | 217 | 2.2745 | 0.6018 |
| 2.1276 | 8.0 | 248 | 2.2180 | 0.5752 |
| 2.1624 | 9.0 | 279 | 2.1311 | 0.5752 |
| 2.0312 | 10.0 | 310 | 2.0358 | 0.5575 |
| 2.0652 | 11.0 | 341 | 1.9146 | 0.5310 |
| 1.7963 | 12.0 | 372 | 1.8346 | 0.5221 |
| 1.6811 | 13.0 | 403 | 1.8351 | 0.5398 |
| 1.5929 | 14.0 | 434 | 1.8256 | 0.4779 |
| 1.6644 | 15.0 | 465 | 1.7572 | 0.4779 |
| 1.5411 | 16.0 | 496 | 1.8740 | 0.4779 |
| 1.4027 | 17.0 | 527 | 1.5143 | 0.4779 |
| 1.2634 | 18.0 | 558 | 1.3864 | 0.4867 |
| 1.1053 | 19.0 | 589 | 1.3192 | 0.4425 |
| 1.0517 | 20.0 | 620 | 1.4705 | 0.4602 |
| 1.1033 | 21.0 | 651 | 1.6006 | 0.4956 |
| 0.9992 | 22.0 | 682 | 1.4748 | 0.5044 |
| 0.8987 | 23.0 | 713 | 1.3544 | 0.4867 |
| 0.9656 | 24.0 | 744 | 1.2673 | 0.4336 |
| 0.952 | 25.0 | 775 | 1.3955 | 0.4071 |
| 0.8507 | 26.0 | 806 | 1.3520 | 0.4425 |
| 0.8269 | 27.0 | 837 | 1.8992 | 0.4336 |
| 0.7255 | 28.0 | 868 | 1.9850 | 0.4425 |
| 0.8269 | 29.0 | 899 | 3.0089 | 0.4425 |
| 0.6178 | 30.0 | 930 | 1.4238 | 0.4336 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3
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