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update model card README.md
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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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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-base-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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# wav2vec2-base-2
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This model is a fine-tuned version of [jiobiala24/wav2vec2-base-1](https://huggingface.co/jiobiala24/wav2vec2-base-1) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9415
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- Wer: 0.3076
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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: 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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| 0.4206 | 1.96 | 1000 | 0.6022 | 0.3435 |
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| 0.3278 | 3.93 | 2000 | 0.6191 | 0.3344 |
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| 0.2604 | 5.89 | 3000 | 0.6170 | 0.3288 |
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| 0.2135 | 7.86 | 4000 | 0.6590 | 0.3239 |
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| 0.1805 | 9.82 | 5000 | 0.7359 | 0.3289 |
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| 0.1582 | 11.79 | 6000 | 0.7450 | 0.3276 |
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| 0.1399 | 13.75 | 7000 | 0.7914 | 0.3218 |
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| 0.1252 | 15.72 | 8000 | 0.8254 | 0.3185 |
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| 0.1095 | 17.68 | 9000 | 0.8524 | 0.3184 |
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| 0.1 | 19.65 | 10000 | 0.8340 | 0.3165 |
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| 0.0905 | 21.61 | 11000 | 0.8846 | 0.3161 |
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| 0.0819 | 23.58 | 12000 | 0.8994 | 0.3142 |
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| 0.0763 | 25.54 | 13000 | 0.9018 | 0.3134 |
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| 0.0726 | 27.5 | 14000 | 0.9552 | 0.3081 |
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| 0.0668 | 29.47 | 15000 | 0.9415 | 0.3076 |
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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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