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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wac2vec-lllfantomlll
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. -->
# wac2vec-lllfantomlll
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5560
- Wer: 0.3417
## 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: 0.0001
- train_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.5768 | 1.0 | 500 | 2.0283 | 1.0238 |
| 0.9219 | 2.01 | 1000 | 0.5103 | 0.5022 |
| 0.4497 | 3.01 | 1500 | 0.4746 | 0.4669 |
| 0.3163 | 4.02 | 2000 | 0.4144 | 0.4229 |
| 0.2374 | 5.02 | 2500 | 0.4186 | 0.4161 |
| 0.2033 | 6.02 | 3000 | 0.4115 | 0.3975 |
| 0.1603 | 7.03 | 3500 | 0.4424 | 0.3817 |
| 0.1455 | 8.03 | 4000 | 0.4151 | 0.3918 |
| 0.1276 | 9.04 | 4500 | 0.4940 | 0.3798 |
| 0.108 | 10.04 | 5000 | 0.4580 | 0.3688 |
| 0.1053 | 11.04 | 5500 | 0.4243 | 0.3700 |
| 0.0929 | 12.05 | 6000 | 0.4999 | 0.3727 |
| 0.0896 | 13.05 | 6500 | 0.4991 | 0.3624 |
| 0.0748 | 14.06 | 7000 | 0.4924 | 0.3602 |
| 0.0681 | 15.06 | 7500 | 0.4908 | 0.3544 |
| 0.0619 | 16.06 | 8000 | 0.5021 | 0.3559 |
| 0.0569 | 17.07 | 8500 | 0.5448 | 0.3518 |
| 0.0549 | 18.07 | 9000 | 0.4919 | 0.3508 |
| 0.0478 | 19.08 | 9500 | 0.4704 | 0.3513 |
| 0.0437 | 20.08 | 10000 | 0.5058 | 0.3555 |
| 0.0421 | 21.08 | 10500 | 0.5127 | 0.3489 |
| 0.0362 | 22.09 | 11000 | 0.5439 | 0.3527 |
| 0.0322 | 23.09 | 11500 | 0.5418 | 0.3469 |
| 0.0327 | 24.1 | 12000 | 0.5298 | 0.3422 |
| 0.0292 | 25.1 | 12500 | 0.5511 | 0.3426 |
| 0.0246 | 26.1 | 13000 | 0.5349 | 0.3472 |
| 0.0251 | 27.11 | 13500 | 0.5646 | 0.3391 |
| 0.0214 | 28.11 | 14000 | 0.5821 | 0.3424 |
| 0.0217 | 29.12 | 14500 | 0.5560 | 0.3417 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
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