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README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: Model_G_2
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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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# Model_G_2
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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: 0.7332
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- Wer: 1.0098
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- Cer: 0.7490
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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: 0.0003
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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: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 3.5212 | 2.57 | 400 | 0.7741 | 1.0236 | 0.7838 |
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| 0.3158 | 5.14 | 800 | 0.6119 | 1.0085 | 0.7600 |
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| 0.1522 | 7.72 | 1200 | 0.6402 | 1.0215 | 0.7521 |
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| 0.102 | 10.29 | 1600 | 0.6226 | 1.0134 | 0.7540 |
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| 0.0752 | 12.86 | 2000 | 0.6474 | 1.0365 | 0.7501 |
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| 0.0627 | 15.43 | 2400 | 0.6617 | 1.0169 | 0.7503 |
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| 0.0535 | 18.01 | 2800 | 0.6818 | 1.0116 | 0.7495 |
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| 0.0432 | 20.58 | 3200 | 0.7056 | 1.0125 | 0.7536 |
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| 0.0383 | 23.15 | 3600 | 0.6953 | 1.0096 | 0.7448 |
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| 0.0347 | 25.72 | 4000 | 0.7217 | 1.0202 | 0.7457 |
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| 0.0301 | 28.3 | 4400 | 0.7332 | 1.0098 | 0.7490 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 1.18.3
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- Tokenizers 0.13.3
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