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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: w2v2-base-pretrained_lr5e-5_at0.0_da1
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. -->
# w2v2-base-pretrained_lr5e-5_at0.0_da1
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: 1.2935
- Wer: 0.1709
## 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: 5e-05
- train_batch_size: 32
- 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
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 22.479 | 3.91 | 250 | 4.5097 | 1.0 |
| 3.5142 | 7.81 | 500 | 3.2115 | 1.0 |
| 3.144 | 11.72 | 750 | 3.1091 | 1.0 |
| 2.5815 | 15.62 | 1000 | 1.2241 | 0.9991 |
| 0.6479 | 19.53 | 1250 | 0.5868 | 0.3328 |
| 0.3255 | 23.44 | 1500 | 0.7123 | 0.2050 |
| 0.2136 | 27.34 | 1750 | 0.8753 | 0.1854 |
| 0.1561 | 31.25 | 2000 | 0.9095 | 0.1892 |
| 0.1195 | 35.16 | 2250 | 1.0824 | 0.1828 |
| 0.0966 | 39.06 | 2500 | 1.0976 | 0.1756 |
| 0.0829 | 42.97 | 2750 | 1.1946 | 0.1734 |
| 0.0724 | 46.88 | 3000 | 1.2161 | 0.1713 |
| 0.0611 | 50.78 | 3250 | 1.2877 | 0.1739 |
| 0.0555 | 54.69 | 3500 | 1.3169 | 0.1687 |
| 0.0537 | 58.59 | 3750 | 1.2744 | 0.1764 |
| 0.0481 | 62.5 | 4000 | 1.2935 | 0.1709 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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