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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2_tun_1.0
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_tun_1.0
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3582
- Wer: 0.2211
- Cer: 0.0770
## 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: 16
- 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: 500
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 5.9699 | 3.7234 | 700 | 2.8579 | 1.0 | 0.9915 |
| 1.5582 | 7.4468 | 1400 | 0.4742 | 0.3345 | 0.1187 |
| 0.5216 | 11.1702 | 2100 | 0.3712 | 0.2768 | 0.0975 |
| 0.3359 | 14.8936 | 2800 | 0.3522 | 0.2484 | 0.0867 |
| 0.2514 | 18.6170 | 3500 | 0.3611 | 0.2403 | 0.0833 |
| 0.217 | 22.3404 | 4200 | 0.3557 | 0.2266 | 0.0787 |
| 0.1873 | 26.0638 | 4900 | 0.3569 | 0.2245 | 0.0786 |
| 0.183 | 29.7872 | 5600 | 0.3582 | 0.2211 | 0.0770 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
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