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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: wav2vec2-base-timit-demo-colab9
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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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# wav2vec2-base-timit-demo-colab9
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.1922
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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: 8
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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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- 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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| 5.0683 | 1.42 | 500 | 3.2471 | 1.0 |
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| 3.1349 | 2.85 | 1000 | 3.2219 | 1.0 |
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| 3.1317 | 4.27 | 1500 | 3.2090 | 1.0 |
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| 3.1262 | 5.7 | 2000 | 3.2152 | 1.0 |
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| 3.1307 | 7.12 | 2500 | 3.2147 | 1.0 |
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| 3.1264 | 8.55 | 3000 | 3.2072 | 1.0 |
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| 3.1279 | 9.97 | 3500 | 3.2158 | 1.0 |
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| 3.1287 | 11.4 | 4000 | 3.2190 | 1.0 |
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| 3.1256 | 12.82 | 4500 | 3.2069 | 1.0 |
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| 3.1254 | 14.25 | 5000 | 3.2134 | 1.0 |
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| 3.1259 | 15.67 | 5500 | 3.2231 | 1.0 |
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| 3.1269 | 17.09 | 6000 | 3.2005 | 1.0 |
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| 3.1279 | 18.52 | 6500 | 3.1988 | 1.0 |
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| 3.1246 | 19.94 | 7000 | 3.1929 | 1.0 |
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| 3.128 | 21.37 | 7500 | 3.1864 | 1.0 |
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| 3.1245 | 22.79 | 8000 | 3.1868 | 1.0 |
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| 3.1266 | 24.22 | 8500 | 3.1852 | 1.0 |
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| 3.1239 | 25.64 | 9000 | 3.1855 | 1.0 |
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| 3.125 | 27.07 | 9500 | 3.1917 | 1.0 |
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| 3.1233 | 28.49 | 10000 | 3.1929 | 1.0 |
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| 3.1229 | 29.91 | 10500 | 3.1922 | 1.0 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.11.0+cu113
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- Datasets 1.18.3
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- Tokenizers 0.10.3
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