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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-colab
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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-colab
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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: 3.3780
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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: 32
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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: 1
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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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| No log | 0.08 | 10 | 14.0985 | 1.0 |
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| No log | 0.16 | 20 | 13.8638 | 1.0004 |
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| No log | 0.24 | 30 | 13.5135 | 1.0023 |
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| No log | 0.32 | 40 | 12.8708 | 1.0002 |
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| No log | 0.4 | 50 | 11.6927 | 1.0 |
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| No log | 0.48 | 60 | 10.2733 | 1.0 |
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| No log | 0.56 | 70 | 8.1396 | 1.0 |
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| No log | 0.64 | 80 | 5.3503 | 1.0 |
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| No log | 0.72 | 90 | 3.7975 | 1.0 |
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| No log | 0.8 | 100 | 3.4275 | 1.0 |
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| No log | 0.88 | 110 | 3.3596 | 1.0 |
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| No log | 0.96 | 120 | 3.3780 | 1.0 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.10.0+cu111
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- Datasets 1.13.3
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- Tokenizers 0.10.3
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