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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: test1000v2
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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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# test1000v2
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7873
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- Wer: 0.6162
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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: 0.001
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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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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 500
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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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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| 7.7913 | 3.22 | 100 | 3.3481 | 1.0 |
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| 3.3831 | 6.44 | 200 | 3.3229 | 1.0 |
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| 3.3778 | 9.67 | 300 | 3.3211 | 1.0 |
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| 3.3671 | 12.89 | 400 | 3.2973 | 1.0 |
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| 3.3528 | 16.13 | 500 | 3.1349 | 1.0 |
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| 1.8611 | 19.35 | 600 | 0.7873 | 0.6162 |
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### Framework versions
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- Transformers 4.22.2
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- Pytorch 1.10.0+cu102
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- Datasets 1.4.1
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- Tokenizers 0.12.1
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