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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: wav2vec2-base_toy_train_data_random_noise
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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_toy_train_data_random_noise
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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: 1.0909
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- Wer: 0.7351
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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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- 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: 1000
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- num_epochs: 20
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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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| 3.128 | 2.1 | 250 | 3.5052 | 1.0 |
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| 3.0423 | 4.2 | 500 | 2.9312 | 1.0 |
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| 1.4109 | 6.3 | 750 | 1.2618 | 0.8915 |
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| 0.9132 | 8.4 | 1000 | 1.1074 | 0.8436 |
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| 0.7146 | 10.5 | 1250 | 1.0397 | 0.7876 |
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| 0.5418 | 12.6 | 1500 | 1.0359 | 0.7662 |
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| 0.4649 | 14.7 | 1750 | 1.0469 | 0.7467 |
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| 0.4127 | 16.8 | 2000 | 1.0655 | 0.7404 |
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| 0.3881 | 18.9 | 2250 | 1.0909 | 0.7351 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.11.0+cu102
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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