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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-checkpoint-11.1
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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-checkpoint-11.1
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This model is a fine-tuned version of [jiobiala24/wav2vec2-base-checkpoint-10](https://huggingface.co/jiobiala24/wav2vec2-base-checkpoint-10) on the common_voice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0173
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- Wer: 0.3350
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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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| 0.2788 | 1.52 | 1000 | 0.5776 | 0.3410 |
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| 0.2277 | 3.04 | 2000 | 0.6148 | 0.3465 |
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| 0.1772 | 4.56 | 3000 | 0.6497 | 0.3497 |
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| 0.1528 | 6.08 | 4000 | 0.6786 | 0.3430 |
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| 0.1285 | 7.6 | 5000 | 0.6779 | 0.3489 |
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| 0.1104 | 9.12 | 6000 | 0.7417 | 0.3528 |
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| 0.0965 | 10.64 | 7000 | 0.7956 | 0.3477 |
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| 0.0914 | 12.16 | 8000 | 0.7994 | 0.3570 |
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| 0.082 | 13.68 | 9000 | 0.8690 | 0.3510 |
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| 0.0788 | 15.2 | 10000 | 0.8569 | 0.3526 |
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| 0.0727 | 16.72 | 11000 | 0.8885 | 0.3440 |
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| 0.0656 | 18.24 | 12000 | 0.9586 | 0.3476 |
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| 0.0608 | 19.76 | 13000 | 0.9317 | 0.3495 |
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| 0.0588 | 21.28 | 14000 | 0.9809 | 0.3449 |
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| 0.0547 | 22.8 | 15000 | 0.9552 | 0.3421 |
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| 0.0519 | 24.32 | 16000 | 0.9782 | 0.3380 |
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| 0.0474 | 25.84 | 17000 | 0.9923 | 0.3386 |
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| 0.046 | 27.36 | 18000 | 0.9984 | 0.3347 |
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| 0.045 | 28.88 | 19000 | 1.0173 | 0.3350 |
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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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