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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: pseudolabeling-step2-F04
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# pseudolabeling-step2-F04
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This model is a fine-tuned version of [yip-i/wav2vec2-pretrain-demo](https://huggingface.co/yip-i/wav2vec2-pretrain-demo) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.2502
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- Wer: 1.0
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 74.4163 | 3.36 | 500 | 3.6878 | 1.0 |
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| 3.3612 | 6.71 | 1000 | 3.5619 | 1.0 |
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| 3.3127 | 10.07 | 1500 | 3.5773 | 1.0 |
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| 3.2104 | 13.42 | 2000 | 3.5299 | 1.0 |
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| 3.2067 | 16.78 | 2500 | 3.5704 | 0.9922 |
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| 3.1511 | 20.13 | 3000 | 4.3842 | 1.0 |
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| 3.0825 | 23.49 | 3500 | 4.2644 | 1.0 |
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| 3.0959 | 26.85 | 4000 | 5.2502 | 1.0 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu113
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- Datasets 1.18.3
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- Tokenizers 0.13.2
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